Author |
Session |
Start page |
Title |

A A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |

Abdolee, Reza |
MB2.5 |
165 |
*Diffusion LMS for Source and Process Estimation in Sensor Networks* |

Abriola, Linda |
MA1.5 |
17 |
*A Mixture of Experts Based Discretization Approach for Characterizing Subsurface Contaminant Source Zones* |

Abry, Patrice |
MA4.4 |
69 |
*Multifractal Analysis of Self-Similar Processes* |

Achkar, Roger |
TB4.3 |
604 |
*Dictionary Adaptation for Online Prediction of Time Series Data with Kernels* |

Adalbjörnsson, Stefan |
MB3.1 |
173 |
*Efficient Block and Time-Recursive Estimation of Sparse Volterra Systems* |

Adalsteinsson, Elfar |
MB5.1 |
221 |
*Accelerated Parallel Magnetic Resonance Imaging Reconstruction Using Joint Estimation with a Sparse Signal Model* |

Aeron, Shuchin |
MA1.4 |
13 |
*Robust Detection of Weak Acoustic Signals in Noise Using Near Optimal Shrinkage in Radon Domain* |

Agarwal, Alekh |
TA1.4 |
409 |
*Fast Global Convergence of Gradient Methods for Solving Regularized M-estimation* |

Agarwal, Rajiv |
TA5.8 |
500 |
*On the Distribution of Valid Pages with Greedy Garbage Collection for NAND Flash* |

TC6.2 |
788 |
*Probabilistic Graphical Model for Flash Memory Programming* |

Aghagolzadeh, Mohammad |
MB1.5 |
145 |
*Transitivity Matrix of Social Network Graphs* |

Ahmadi, Hamidreza |
MC2.6 |
309 |
*Correlated Observations in Distributed Detection Systems* |

Ahmed, Bilal |
MA1.5 |
17 |
*A Mixture of Experts Based Discretization Approach for Characterizing Subsurface Contaminant Source Zones* |

Aksoylar, Cem |
MC3.4 |
329 |
*Sample Complexity of Salient Feature Identification for Sparse Signal Processing* |

Akyol, Emrah |
TA4.4 |
460 |
*Linearity Conditions for Optimal Estimation From Multiple Noisy Measurements* |

Alghoniemy, Masoud |
WA3.2 |
836 |
*On the Design of Fractional Frequency Reuse in Cellular Wireless Systems* |

Alkishriwo, Osama |
TC3.6 |
736 |
*Compressive Asynchronous Decomposition of Heart Sounds* |

Almodovar, Jaime |
MB2.6 |
169 |
*A Gossip-based Distributed Processing Algorithm for Multiple Transmitter Localization* |

Amblard, Pierre-Olivier |
MA6.1 |
105 |
*Causal Conditioning and Instantaneous Coupling in Causality Graphs* |

Amindavar, Hamidreza |
TC5.1 |
764 |
*Maneuvering Target Tracking Based on SDE Driven by GARCH Volatility* |

Antunes, Nelson |
TC6.5 |
796 |
*Estimation of Flow Distributions Tails From Sampled Traffic* |

Applebaum, Lorne |
TB3.6 |
592 |
*Compressive Demodulation of Mutually Interfering Signals* |

Arce, Gonzalo |
TC3.1 |
716 |
*Restricted Isometry Property in Coded Aperture Compressive Spectral Imaging* |

Arguello, Henry |
TC3.1 |
716 |
*Restricted Isometry Property in Coded Aperture Compressive Spectral Imaging* |

Arias-Castro, Ery |
TA4.6 |
464 |
*A Two-Stage Denoising Filter: The Preprocessed Yaroslavsky Filter* |

Asendorf, Nicholas |
TA1.1 |
397 |
*The Performance of Deterministic Matched Subspace Detectors When Using Subspaces Estimated From Noisy, Missing Data* |

Ash, Joshua |
MA1.2 |
5 |
*Incorporating Spatial Structure Into Hyperspectral Scene Analysis* |

Asif, Amir |
MA5.3 |
89 |
*Uniform Rectangular Time Reversal Arrays: Joint Azimuth and Elevation Estimation* |

MB6.2 |
249 |
*Distributed State Estimation for Large-scale Nonlinear Systems: A Reduced Order Particle Filter Implementation* |

TA6.7 |
524 |
*Full Order Distributed Particle Filters for Intermittent Connections: Feedback From Fusion Filters to Local Filters Improves Performance* |

WA4.3 |
860 |
*Time Reversal MIMO Radar for Angle-Doppler Estimation* |

Aston, John |
MB6.1 |
245 |
*Bayesian Model Comparison Via Path-Sampling Sequential Monte Carlo* |

Atia, George |
MC3.4 |
329 |
*Sample Complexity of Salient Feature Identification for Sparse Signal Processing* |

Aviyente, Selin |
MA4.6 |
73 |
*The Relationship Between Transfer Entropy and Directed Information* |

MA6.2 |
109 |
*Graph Entropy Rate Minimization and the Compressibility of Undirected Binary Graphs* |

MA6.4 |
117 |
*Dynamic Network Summarization Using Convex Optimization* |

MB3.3 |
181 |
*Discriminative Sparse Image Representation for Classification Based on a Greedy Algorithm* |

WA5.5 |
888 |
*Hyperspherical Phase Synchrony for Quantifying Multivariate Phase Synchronization* |

Azizyan, Martin |
TC3.3 |
724 |
*Subspace Detection of High-Dimensional Vectors Using Compressive Sampling* |

B A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |

Ba, He |
MC5.4 |
369 |
*BaNa: A Hybrid Approach for Noise Resilient Pitch Detection* |

Badawi, Ashraf |
WA3.2 |
836 |
*On the Design of Fractional Frequency Reuse in Cellular Wireless Systems* |

Bae, Hyeon-Deok |
MB4.2 |
201 |
*Subband Adaptive Convex Combination of Two NLMS Based Filters for Sparse Impulse Response Systems* |

Baggeroer, Arthur |
WA1.3 |
808 |
*Analytical Characterization of the MPDR-based Power Estimators in Snapshot Scarce Regime* |

Balzano, Laura |
TB4.6 |
612 |
*k-Subspaces with Missing Data* |

Banerjee, Nilanjana |
TC2.5 |
708 |
*Statistical Assessment of Gene Fusion Detection Algorithms Using RNA Sequencing Data* |

Banerjee, Taposh |
TB5.4 |
636 |
*Energy-Efficient Quickest Change Detection in Sensor Networks* |

Baraniuk, Richard |
TA1.2 |
401 |
*Sequentially Designed Compressed Sensing* |

TC3.4 |
728 |
*Near-Isometric Linear Embeddings of Manifolds* |

Barjasteh, Iman |
MB1.5 |
145 |
*Transitivity Matrix of Social Network Graphs* |

Barnard, Mark |
TB6.4 |
664 |
*Reverberant Speech Separation Based on Audio-visual Dictionary Learning and Binaural Cues* |

Baron, Dror |
TB3.4 |
588 |
*Optimal Estimation with Arbitrary Error Metrics in Compressed Sensing* |

Barthélemy, Quentin |
MA3.2 |
37 |
*Preprocessing for Classification of Sparse Data: Application to Trajectory Recognition* |

Baxley, Robert |
TA6.2 |
508 |
*Radio Frequency Tomography in Mobile Networks* |

WA3.3 |
832 |
*Time-Domain Impulse Injection Method for Crest Factor Reduction of OFDM Signals* |

Bazerque, Juan Andrés |
WA5.2 |
876 |
*Nonparametric Low-Rank Tensor Imputation* |

Behmardi, Behrouz |
TC4.1 |
740 |
*Regularized Joint Density Estimation for Multi-Instance Learning* |

Berlow, Noah |
TB2.1 |
552 |
*Analyzing Pathway Design From Drug Perturbation Experiments* |

Besson, Olivier |
MB4.3 |
205 |
*Adaptive Filtering in the Presence of Outliers* |

Bianchi, Pascal |
MC2.5 |
305 |
*On-Line Gossip-Based Distributed Expectation Maximization Algorithm* |

Bidigare, Patrick |
MC1.2 |
269 |
*Receiver-Coordinated Zero-Forcing Distributed Transmit Nullforming* |

MC1.3 |
273 |
*Initial Over-the-Air Performance Assessment of Ranging and Clock Synchronization Using Radio Frequency Signal Exchange* |

Bidon, Stéphanie |
MB4.3 |
205 |
*Adaptive Filtering in the Presence of Outliers* |

Bisdikian, Chatschik |
MB2.3 |
157 |
*An Obfuscation Framework for Controlling Value of Information During Sharing* |

Blasch, Erik |
TB1.5 |
548 |
*Compressed Sensing for MIMO RADAR: A Stochastic Perspective* |

Bliss, Daniel |
MC1.6 |
285 |
*Loss Characterization of Distributed Space-Time Transmit Beamforming with Embedded Channel Probing* |

Bliss, Nadya |
MA6.3 |
113 |
*Toward Matched Filter Optimization for Subgraph Detection in Dynamic Networks* |

Blu, Thierry |
TA4.2 |
452 |
*SURE-based Blind Gaussian Deconvolution* |

TB6.1 |
652 |
*A New Non-redundant Complex Hilbert Wavelet Transforms* |

Bolanos, Marcos |
MA6.2 |
109 |
*Graph Entropy Rate Minimization and the Compressibility of Undirected Binary Graphs* |

Bondon, Pascal |
WA6.3 |
908 |
*A Selection Criterion for Piecewise Stationary Long-Memory Models* |

Boonstra, Albert Jan |
MA5.4 |
93 |
*Oblique Projection Beamforming for RFI Mitigation in Radio Astronomy* |

Bose, Sandip |
MA1.4 |
13 |
*Robust Detection of Weak Acoustic Signals in Noise Using Near Optimal Shrinkage in Radon Domain* |

Bouaynaya, Nidhal |
TA3.1 |
420 |
*Muscle Activity Detection From Myoelectric Signals Based on the AR-GARCH Model* |

TB2.3 |
560 |
*Inference of Genetic Regulatory Networks Using Regularized Likelihood with Covariance Estimation* |

Boulanger, Jérémie |
MA4.2 |
61 |
*Wiener Filtering of Rotation Processes Using Ordered Exponential* |

Bouman, Charles |
TC1.3 |
680 |
*Bayesian Tomographic Reconstruction for High Angle Annular Dark Field (HAADF) Scanning Transmission Electron Microscopy (STEM)* |

Boyer, Rémy |
TC5.6 |
780 |
*Theoretical Multidimensional Resolution Limit for MIMO Radar Based on the Chernoff Distance* |

Braga-Neto, Ulisses |
TC2.4 |
704 |
*Joint State and Parameter Estimation for Boolean Dynamical Systems* |

Brennan, Mike |
TB1.1 |
532 |
*Multistatic RADAR Change Detection Using Sparse Imaging Methods* |

Briggs, Forrest |
TC4.1 |
740 |
*Regularized Joint Density Estimation for Multi-Instance Learning* |

Brown, Donald |
MC1.2 |
269 |
*Receiver-Coordinated Zero-Forcing Distributed Transmit Nullforming* |

Buck, John |
WA1.5 |
816 |
*Experimental Validation of a Random Matrix Theory Model for Dominant Mode Rejection Beamformer Notch Depth* |

WA1.6 |
820 |
*A Random Matrix Theory Model for the Dominant Mode Rejection Beamformer Notch Depth* |

WA1.7 |
824 |
*Approximate Eigenvalue Distribution of a Cylindrically Isotropic Noise Sample Covariance Matrix* |

Buschelman, Eric |
MB5.6 |
241 |
*Nonparametric Methods for Full-Waveform Ladar Images* |

Butala, Mark |
MA1.6 |
21 |
*A Localized Ensemble Kalman Smoother* |

C A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |

Calderbank, Robert |
TB3.6 |
592 |
*Compressive Demodulation of Mutually Interfering Signals* |

Can, Azime |
TC3.6 |
736 |
*Compressive Asynchronous Decomposition of Heart Sounds* |

Capdessus, Cecile |
MA5.4 |
93 |
*Oblique Projection Beamforming for RFI Mitigation in Radio Astronomy* |

Caramanis, Constantine |
TA1.5 |
413 |
*Simple Algorithms for Sparse Linear Regression with Uncertain Covariates* |

Cardona-Romero, Suhaily |
MB3.3 |
181 |
*Discriminative Sparse Image Representation for Classification Based on a Greedy Algorithm* |

Carin, Lawrence |
MB2.4 |
161 |
*Active Learning for Large-Scale Factor Analysis* |

Carmon, Danielle |
TB3.4 |
588 |
*Optimal Estimation with Arbitrary Error Metrics in Compressed Sensing* |

Carter, Kevin |
MC6.1 |
377 |
*Probabilistic Reasoning for Streaming Anomaly Detection* |

Castañón, David |
TB4.7 |
616 |
*A Combined Approach to Multi-label Multi-task Learning* |

TC1.4 |
684 |
*Discrete Image Reconstruction for Material Quantification* |

WA6.6 |
920 |
*Two Stage Decision System* |

Castro, Rui |
TA1.2 |
401 |
*Sequentially Designed Compressed Sensing* |

Cevher, Volkan |
MB3.2 |
177 |
*Equivalence of Synthesis and Atomic Formulations of Sparse Recovery* |

MB3.4 |
185 |
*Matrix ALPS: Accelerated Low Rank and Sparse Matrix Reconstruction* |

Cha, Miriam |
WA4.2 |
856 |
*Test Statistics for Synthetic Aperture Radar Coherent Change Detection* |

Chakraborty, Supriyo |
MB2.3 |
157 |
*An Obfuscation Framework for Controlling Value of Information During Sharing* |

Champagne, Benoit |
MB2.5 |
165 |
*Diffusion LMS for Source and Process Estimation in Sensor Networks* |

Chan, Shing-Chow |
MA5.2 |
85 |
*Steering Vector Estimation and Beamforming Under Uncertainties* |

MC5.2 |
361 |
*A New Regularized TVAR-based Algorithm for Recursive Detection of Nonstationarity and Its Application to Speech Signals* |

Chang, Chieh-Yao |
WA3.4 |
836 |
*Robust Interference Channel Transmission Using Sparsity Enhanced Mismatch Model* |

Chang, Yu-Teng |
MA6.6 |
125 |
*Of the Largest Eigenvalue for Modularity-Based Partitioning* |

Chao, Yung Hsuan |
MB1.4 |
141 |
*Graph-Wavelet Filterbanks for Edge-Aware Image Processing* |

Chaparro, Luis |
TC3.6 |
736 |
*Compressive Asynchronous Decomposition of Heart Sounds* |

Charles, Adam |
TB3.2 |
580 |
*The Restricted Isometry Property for Echo State Networks with Applications to Sequence Memory Capacity* |

Chen, Chulong |
TA5.1 |
472 |
*Bayesian Sparse Channel Estimation and Tracking* |

Chen, Jianshu |
TB5.9 |
648 |
*Distributed Pareto-Optimal Solutions Via Diffusion Adaptation* |

Chen, Yudong |
TA1.5 |
413 |
*Simple Algorithms for Sparse Linear Regression with Uncertain Covariates* |

Cheng, Zhiyu |
WA4.4 |
864 |
*Waveform Scheduling Via Directed Information in Cognitive Radar* |

Chevalier, Pascal |
WA3.5 |
840 |
*Optimal SIMO MLSE Receivers for the Detection of Linear Modulation Corrupted by Noncircular Interference* |

Chi, Yuejie |
TB3.6 |
592 |
*Compressive Demodulation of Mutually Interfering Signals* |

Chiang, Mung |
MB1.3 |
137 |
*Identifying Online Communities of Interest Using Side Information* |

Cho, Jang Hwan |
MB5.2 |
225 |
*Alternating Minimization Approach for Multi-frame Image Reconstruction* |

Choi, Hun |
MB4.2 |
201 |
*Subband Adaptive Convex Combination of Two NLMS Based Filters for Sparse Impulse Response Systems* |

Chong, Edwin |
TC6.4 |
792 |
*Detection Performance of M-ary Relay Trees with Non-binary Message Alphabets* |

Chu, Yijing |
MA5.2 |
85 |
*Steering Vector Estimation and Beamforming Under Uncertainties* |

MC5.2 |
361 |
*A New Regularized TVAR-based Algorithm for Recursive Detection of Nonstationarity and Its Application to Speech Signals* |

Cioffi, John |
TA5.8 |
500 |
*On the Distribution of Valid Pages with Greedy Garbage Collection for NAND Flash* |

TC6.2 |
788 |
*Probabilistic Graphical Model for Flash Memory Programming* |

Clarkson, Vaughan |
MB3.6 |
193 |
*Estimating Period From Sparse, Noisy Timing Data* |

TB5.7 |
640 |
*Collaborative Sensor Scheduling for Space Situational Awareness* |

Coates, Mark |
MB6.4 |
257 |
*Implementation of the Daum-Huang Exact-Flow Particle Filter* |

Cochran, Douglas |
MC2.3 |
297 |
*Maximum-entropy Surrogation in Network Signal Detection* |

Cogranne, Rémi |
WA6.4 |
912 |
*Statistical Detection of LSB Matching in the Presence of Nuisance Parameters* |

Coleman, Christopher |
TB1.4 |
544 |
*Minimum L1 Norm SAR Image Formation* |

Comer, Mary |
TC1.5 |
688 |
*Joint Deconvolution/Segmentation of Microscope Images of Materials* |

Connell, Scott |
TB1.4 |
544 |
*Minimum L1 Norm SAR Image Formation* |

Cornu, Philippe |
WA6.4 |
912 |
*Statistical Detection of LSB Matching in the Presence of Nuisance Parameters* |

Correll, Bill |
TA5.6 |
492 |
*The Density of Costas Arrays and Three-Free Permutations* |

Cortes, Camilo |
MB4.5 |
213 |
*Adaptive Filtering for Lightning Electric Field (LEF) Signals in Fractional Fourier Domain* |

Coyle, Edward |
TA5.3 |
480 |
*Power Allocation for Distributed Detection in a Multiple-Ring Cluster* |

Crovella, Mark |
TC4.7 |
760 |
*Estimating Intrinsic Dimension Via Clustering* |

D A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |

Dall'Anese, Emiliano |
MA6.5 |
121 |
*Dynamic Network Kriging* |

Dalton, Lori |
TB2.4 |
564 |
*Optimal Classifiers Within a Bayesian Framework* |

Dang, Wenbing |
WA4.6 |
868 |
*Coordinating Complementary Waveforms Across Time and Frequency* |

Dasgupta, Soura |
MC1.2 |
269 |
*Receiver-Coordinated Zero-Forcing Distributed Transmit Nullforming* |

MC1.5 |
281 |
*A Distributed Consensus Approach to Synchronization of RF Signals* |

Dashmiz, Shayan |
MB3.2 |
177 |
*Equivalence of Synthesis and Atomic Formulations of Sparse Recovery* |

Datta, Aniruddha |
TB2.5 |
568 |
*Optimal Cancer Therapy Based on a Tumor Growth Inhibition Model* |

Davis, Lara |
TB2.1 |
552 |
*Analyzing Pathway Design From Drug Perturbation Experiments* |

De Graef, Marc |
TC1.3 |
680 |
*Bayesian Tomographic Reconstruction for High Angle Annular Dark Field (HAADF) Scanning Transmission Electron Microscopy (STEM)* |

Delmas, Jean Pierre |
WA3.5 |
840 |
*Optimal SIMO MLSE Receivers for the Detection of Linear Modulation Corrupted by Noncircular Interference* |

Demirkol, Ilker |
MC5.4 |
369 |
*BaNa: A Hybrid Approach for Noise Resilient Pitch Detection* |

Deng, Mo |
TC2.2 |
696 |
*Causal Compressive Sensing for Gene Network Inference* |

Devroye, Natasha |
WA4.4 |
864 |
*Waveform Scheduling Via Directed Information in Cognitive Radar* |

Dimitrova, Nevenka |
TC2.5 |
708 |
*Statistical Assessment of Gene Fusion Detection Algorithms Using RNA Sequencing Data* |

Ding, Tao |
MB6.4 |
257 |
*Implementation of the Daum-Huang Exact-Flow Particle Filter* |

Djikpesse, Hugues |
MA1.3 |
9 |
*A Heuristic Bayesian Design Criterion for Imaging Resolution Enhancement* |

Djurić, Petar |
MB6.5 |
261 |
*Estimation of Posterior Distributions with Population Monte Carlo Sampling and Graphical Modeling* |

Doerschuk, Peter |
TA3.5 |
436 |
*Describing the Structure of a Macro Molecular Complex as a Random Signal in Noise and a Maximum Likelihood Reconstruction* |

Dougherty, Edward |
TB2.4 |
564 |
*Optimal Classifiers Within a Bayesian Framework* |

TB2.5 |
568 |
*Optimal Cancer Therapy Based on a Tumor Growth Inhibition Model* |

Drepper, Friedhelm |
MC5.3 |
365 |
*Phase Difference of Filter-stable Part-tones as Acoustic Feature* |

Drummy, Lawrence |
TC1.2 |
676 |
*Bayesian Image Segmentation of Transmission Electron Tomography 3D Reconstructions* |

TC1.3 |
680 |
*Bayesian Tomographic Reconstruction for High Angle Annular Dark Field (HAADF) Scanning Transmission Electron Microscopy (STEM)* |

Duarte, Marco |
MC3.5 |
333 |
*Localization and Bearing Estimation Via Structured Sparsity Models* |

TC3.5 |
732 |
*Grouped Incoherent Measurements for Compressive Sensing* |

Dzieciuch, Matthew |
WA1.5 |
816 |
*Experimental Validation of a Random Matrix Theory Model for Dominant Mode Rejection Beamformer Notch Depth* |

E A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |

Elgebaly, Hani |
WA3.2 |
836 |
*On the Design of Fractional Frequency Reuse in Cellular Wireless Systems* |

Elghariani, Ali |
WA3.6 |
844 |
*Branch and Bound Algorithm for Code Spread OFDM* |

Elton, Stephen |
TA5.2 |
476 |
*Parameter Estimation Techniques for Polynomial Phase and Phase Coded Waveforms in Multi-Channel Systems* |

Emad, Amin |
TC2.2 |
696 |
*Causal Compressive Sensing for Gene Network Inference* |

Eriksson, Brian |
TB4.4 |
608 |
*Hierarchical Clustering Using Randomly Selected Measurements* |

TC4.7 |
760 |
*Estimating Intrinsic Dimension Via Clustering* |

Ertin, Emre |
MC2.1 |
289 |
*Sensor Selection in Adversarial Setting* |

Evans, Brian |
TC2.6 |
712 |
*Adaptive Experimental Design for Drug Combinations* |

F A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |

Faisan, Sylvain |
MB6.3 |
253 |
*Joint Bayesian Decomposition of a Spectroscopic Signal Sequence with RJMCMC* |

Fatemi, Mitra |
MB3.2 |
177 |
*Equivalence of Synthesis and Atomic Formulations of Sparse Recovery* |

Fathallah-Shaykh, Hassan |
TB2.3 |
560 |
*Inference of Genetic Regulatory Networks Using Regularized Likelihood with Covariance Estimation* |

Fern, Xiaoli |
TC4.1 |
740 |
*Regularized Joint Density Estimation for Multi-Instance Learning* |

Ferrari, Silvia |
MB2.1 |
149 |
*A Comparison of Information Theoretic Functions for Tracking Maneuvering Targets* |

Fessler, Jeff |
MB5.2 |
225 |
*Alternating Minimization Approach for Multi-frame Image Reconstruction* |

Fillatre, Lionel |
WA6.4 |
912 |
*Statistical Detection of LSB Matching in the Presence of Nuisance Parameters* |

Fisher III, John |
MC2.4 |
301 |
*Theoretical Guarantees on Penalized Information Gathering* |

Fitzgerald, William |
TA3.3 |
428 |
*Comparison of Gaussian Process Models for Single-Trial Event-Related Potentials* |

Fonseca, Benedito |
TA6.5 |
516 |
*Least Favorable Distributions for the Design of Sensor Detection Systems in Non-Circular Regions of Interest* |

Foroozan, Foroohar |
WA4.3 |
860 |
*Time Reversal MIMO Radar for Angle-Doppler Estimation* |

Frank, Andrew |
TC5.2 |
768 |
*A Graphical Model Representation of the Track-Oriented Multiple Hypothesis Tracker* |

Fu-Mueller, Lisha |
MA4.3 |
65 |
*Reducing the Gap Between Linear Biased Classical and Linear Bayesian Estimation* |

Fung, Carrson |
WA3.4 |
836 |
*Robust Interference Channel Transmission Using Sparsity Enhanced Mismatch Model* |

G A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |

Gabl, Edward |
TB1.4 |
544 |
*Minimum L1 Norm SAR Image Formation* |

Garbarino, Joseph |
TB1.3 |
540 |
*Compressive Sensing and 3-D Radar Imaging* |

Gaveau, Marc-André |
MB6.3 |
253 |
*Joint Bayesian Decomposition of a Spectroscopic Signal Sequence with RJMCMC* |

Gerstoft, Peter |
WA1.2 |
804 |
*Passive Acoustic Monitoring Using Random Matrix Theory* |

Ghirmai, Tadesse |
TA5.4 |
484 |
*Particle Filtering Based Data Detection in a Flat-Fading Relay-Based Communication System* |

Giannakis, Georgios B. |
MA3.5 |
49 |
*Exact Recovery of Low-rank Plus Compressed Sparse Matrices* |

MA6.5 |
121 |
*Dynamic Network Kriging* |

WA5.2 |
876 |
*Nonparametric Low-Rank Tensor Imputation* |

Gilbert, Anna |
TB1.2 |
536 |
*Reusable Low-Error Compressive Sampling Schemes Through Privacy* |

Glaz, Joseph |
TC5.5 |
776 |
*MIMO Radar Detection with Heterogeneous Propagation Losses* |

Glentis, George-Othon |
MB3.1 |
173 |
*Efficient Block and Time-Recursive Estimation of Sparse Volterra Systems* |

Goeckel, Dennis |
TC3.5 |
732 |
*Grouped Incoherent Measurements for Compressive Sensing* |

Goyal, Vivek |
MB5.1 |
221 |
*Accelerated Parallel Magnetic Resonance Imaging Reconstruction Using Joint Estimation with a Sparse Signal Model* |

Grady, Leo |
MB5.1 |
221 |
*Accelerated Parallel Magnetic Resonance Imaging Reconstruction Using Joint Estimation with a Sparse Signal Model* |

Grossi, Emanuele |
TC5.4 |
772 |
*A Track-Before-Detect Procedure for Sparse Data* |

Gubner, John |
TA6.1 |
504 |
*Resolving a Variable Number of Hypotheses with Multiple Sensors* |

TA6.5 |
516 |
*Least Favorable Distributions for the Design of Sensor Detection Systems in Non-Circular Regions of Interest* |

Gudmundson, Erik |
MA4.7 |
77 |
*An ESPRIT-Based Parameter Estimator for Spectroscopic Data* |

Guntupalli, Swaroop |
MB5.3 |
229 |
*Regularized Hyperalignment of Multi-set fMRI Data* |

Gustafsson, Fredrik |
MB4.1 |
197 |
*Bayesian Estimation of Forgetting Factor in Adaptive Filtering and Change Detection* |

H A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |

Hajiramezanali, Mohammadehsan |
TC5.1 |
764 |
*Maneuvering Target Tracking Based on SDE Driven by GARCH Volatility* |

Hamilton, Benjamin |
TA6.2 |
508 |
*Radio Frequency Tomography in Mobile Networks* |

Harmany, Zachary |
MB5.5 |
237 |
*The Value of Multispectral Observations in Photon-Limited Quantitative Tissue Analysis* |

Harris, Lyndsay |
TC2.5 |
708 |
*Statistical Assessment of Gene Fusion Detection Algorithms Using RNA Sequencing Data* |

Haupt, Jarvis |
TA1.2 |
401 |
*Sequentially Designed Compressed Sensing* |

Hawes, Chad |
TC4.3 |
748 |
*A Bootstrap Interval Estimator for Bayes' Classification Error* |

Haxby, James |
MB5.3 |
229 |
*Regularized Hyperalignment of Multi-set fMRI Data* |

He, Zi-Shu |
WA4.5 |
876 |
*Performance Comparison of Airborne Phased- Array and MIMO Radar with Subarrays* |

Hegde, Chinmay |
TC3.4 |
728 |
*Near-Isometric Linear Embeddings of Manifolds* |

Heinzelman, Wendi |
MC5.4 |
369 |
*BaNa: A Hybrid Approach for Noise Resilient Pitch Detection* |

Hellbourg, Gregory |
MA5.4 |
93 |
*Oblique Projection Beamforming for RFI Mitigation in Radio Astronomy* |

Hemenway, Brett |
TB1.2 |
536 |
*Reusable Low-Error Compressive Sampling Schemes Through Privacy* |

Hero III, Alfred |
MB2.2 |
153 |
*Multistage Adaptive Estimation of Sparse Signals* |

WA5.4 |
884 |
*Kronecker Graphical Lasso* |

Herrmann, Felix |
MA1.7 |
25 |
*Approximate Message Passing Meets Exploration Seismology* |

Hobson, Tyler |
TB5.7 |
640 |
*Collaborative Sensor Scheduling for Space Situational Awareness* |

Hodgkiss, William |
WA1.2 |
804 |
*Passive Acoustic Monitoring Using Random Matrix Theory* |

Hoffmann, Lukas |
TA3.2 |
424 |
*A Wavelet Clustering Technique for the Identification of Functionally Connected Regions in the Rat Brain Using Resting State fMRI* |

Honeine, Paul |
TB4.2 |
600 |
*One-class Machines Based on the Coherence Criterion* |

TB4.3 |
604 |
*Dictionary Adaptation for Online Prediction of Time Series Data with Kernels* |

Howard, Stephen |
MA5.6 |
101 |
*Fast Tests for the Common Causality of Time-Of-Arrival Events From Their Mutual Minkowski Distances* |

Howard, Stephen |
MC2.3 |
297 |
*Maximum-entropy Surrogation in Network Signal Detection* |

TA5.2 |
476 |
*Parameter Estimation Techniques for Polynomial Phase and Phase Coded Waveforms in Multi-Channel Systems* |

Howard, Stephen |
TC6.4 |
792 |
*Detection Performance of M-ary Relay Trees with Non-binary Message Alphabets* |

WA4.6 |
868 |
*Coordinating Complementary Waveforms Across Time and Frequency* |

Hsieh, Sung-Hsien |
MB3.5 |
189 |
*Fast OMP: Reformulating OMP Via Iteratively Refining L2-Norm Solutions* |

Huang, Jiaji |
TB4.8 |
620 |
*Multiscale Online Tracking of Manifolds* |

Huang, Yufei |
TA3.7 |
444 |
*Classification of EEG Recordings Without Perfectly Time-Locked Events* |

TB6.5 |
668 |
*Exploiting Correlated Discriminant Features in Time Frequency and Space for Characterization and Robust Classification of Image RSVP Events with EEG Data* |

TC2.3 |
700 |
*Basis-Expansion Factor Models for Uncovering Transcription Factor Regulatory Network* |

Huemer, Mario |
MA4.3 |
65 |
*Reducing the Gap Between Linear Biased Classical and Linear Bayesian Estimation* |

Huie, Lauren |
MC6.3 |
385 |
*System State Estimation in the Presence of False Information Injection* |

I A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |

Ibarra-Manzano, Oscar |
MC4.2 |
345 |
*Extended UFIR Filtering of Nonlinear Models Corrupted by White Gaussian Noise* |

MC4.3 |
349 |
*Studies of Optimal Memory for Discrete-Time FIR Filters in State-Space* |

Ibrahimi, Morteza |
TA3.4 |
432 |
*Accelerated Time-of-Flight Mass Spectrometry* |

Ihler, Alexander |
TC5.2 |
768 |
*A Graphical Model Representation of the Track-Oriented Multiple Hypothesis Tracker* |

Iqbal, Kamran |
TA3.1 |
420 |
*Muscle Activity Detection From Myoelectric Signals Based on the AR-GARCH Model* |

Ishwar, Prakash |
TA1.3 |
405 |
*Sensing Aware Dimensionality Reduction for Nearest Neighbor Classification of High Dimensional Signals* |

J A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |

Jackson, Michael |
TC1.3 |
680 |
*Bayesian Tomographic Reconstruction for High Angle Annular Dark Field (HAADF) Scanning Transmission Electron Microscopy (STEM)* |

Jackson, Philip |
TB6.4 |
664 |
*Reverberant Speech Separation Based on Audio-visual Dictionary Learning and Binaural Cues* |

Jaffard, Stephane |
MA4.4 |
69 |
*Multifractal Analysis of Self-Similar Processes* |

Jain, Anil |
TC4.4 |
752 |
*Learning Kernel Combination From Noisy Pairwise Constraints* |

Jakobsson, Andreas |
MA4.7 |
77 |
*An ESPRIT-Based Parameter Estimator for Spectroscopic Data* |

MB3.1 |
173 |
*Efficient Block and Time-Recursive Estimation of Sparse Volterra Systems* |

Jakubowicz, Jérémie |
MC2.5 |
305 |
*On-Line Gossip-Based Distributed Expectation Maximization Algorithm* |

Jalali, Ali |
TA1.6 |
416 |
*Greedy Dirty Models: A New Algorithm for Multiple Sparse Regression* |

Jaldén, Joakim |
MA3.1 |
33 |
*Maximum Likelihood Based Sparse and Distributed Conjoint Analysis* |

Janevski, Angel |
TC2.5 |
708 |
*Statistical Assessment of Gene Fusion Detection Algorithms Using RNA Sequencing Data* |

Jansson, Magnus |
MA4.7 |
77 |
*An ESPRIT-Based Parameter Estimator for Spectroscopic Data* |

MA5.1 |
81 |
*Robust Prior-based Direction of Arrival Estimation* |

Jiang, Xin |
MB5.5 |
237 |
*The Value of Multispectral Observations in Photon-Limited Quantitative Tissue Analysis* |

Jin, Curtis |
MA5.5 |
97 |
*An Iterative, Backscatter-Analysis Based Algorithm for Increasing Transmission Through a Highly-Backscattering Random Medium* |

Jin, Rong |
TC4.4 |
752 |
*Learning Kernel Combination From Noisy Pairwise Constraints* |

Johansen, Adam |
MB6.1 |
245 |
*Bayesian Model Comparison Via Path-Sampling Sequential Monte Carlo* |

K A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |

Kajikawa, Yoshinobu |
MC4.1 |
341 |
*Theoretical Discussion of the Filtered-X LMS Algorithm Based on Statistical Mechanical Analysis* |

Kamalabadi, Farzad |
TA4.7 |
468 |
*Analytical Precision Limits in Slitless Spectroscopy* |

Kamalakaran, Sitharthan |
TC2.5 |
708 |
*Statistical Assessment of Gene Fusion Detection Algorithms Using RNA Sequencing Data* |

Kang, Jaewook |
MA3.4 |
45 |
*Bayesian Hypothesis Test for Sparse Support Recovery Using Belief Propagation* |

Kaplan, Lance |
MB2.3 |
157 |
*An Obfuscation Framework for Controlling Value of Information During Sharing* |

Karl, William |
TA1.3 |
405 |
*Sensing Aware Dimensionality Reduction for Nearest Neighbor Classification of High Dimensional Signals* |

TC1.4 |
684 |
*Discrete Image Reconstruction for Material Quantification* |

Kaslovsky, Daniel |
WA5.6 |
892 |
*Overcoming Noise, Avoiding Curvature: Optimal Scale Selection for Tangent Plane Recovery* |

Kastella, Keith |
MC1.1 |
265 |
*Reference-Aided Distributed Transmit Beamforming with Mobile Radios* |

MC1.4 |
277 |
*Frequency Estimation in the Presence of Cycle Slips: Filter Banks and Error Bounds for Phase Unwrapping* |

Kawaguchi, Yohei |
MC5.1 |
357 |
*Speech Enhancement Combined with Dereverberation and Acoustic Echo Reduction for Time Varying Systems* |

Keilholz, Shella |
TA3.2 |
424 |
*A Wavelet Clustering Technique for the Identification of Functionally Connected Regions in the Rat Brain Using Resting State fMRI* |

Keller, Charles |
TB2.1 |
552 |
*Analyzing Pathway Design From Drug Perturbation Experiments* |

Khardon, Roni |
MA1.5 |
17 |
*A Mixture of Experts Based Discretization Approach for Characterizing Subsurface Contaminant Source Zones* |

Khodja, Mohamed |
MA1.3 |
9 |
*A Heuristic Bayesian Design Criterion for Imaging Resolution Enhancement* |

Kim, Dae Woo |
TC1.5 |
688 |
*Joint Deconvolution/Segmentation of Microscope Images of Materials* |

Kim, Jongmin |
TB3.1 |
576 |
*Compressive Subspace Fitting for Multiple Measurement Vectors* |

Kim, Kiseon |
MA3.4 |
45 |
*Bayesian Hypothesis Test for Sparse Support Recovery Using Belief Propagation* |

Kmelnitsky, Vitaly |
WA1.4 |
812 |
*Mean Squared Error Performance of Adaptive Matched Field Localization Under Environmental Uncertainty* |

Kong, Bailey |
TB4.1 |
596 |
*Efficient Batch-Mode Active Learning of Random Forest* |

Kotula, Paul |
TC1.1 |
672 |
*Application of FIB/SEM/EDXS Tomographic Spectral Imaging and Multivariate Statistical Analysis to the Analysis of Localized Corrosion* |

Kreimer, Nadia |
MA1.8 |
29 |
*Reconstruction of Seismic Data Via Tensor Completion* |

Kreucher, Christopher |
TB1.1 |
532 |
*Multistatic RADAR Change Detection Using Sparse Imaging Methods* |

Kwak, Byung-Jae |
TA5.7 |
496 |
*Random Jitter Beamforming for Point-and-Link Communications* |

Kyrillidis, Anastasios |
MB3.4 |
185 |
*Matrix ALPS: Accelerated Low Rank and Sparse Matrix Reconstruction* |

L A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |

Labeau, Fabrice |
WA3.1 |
828 |
*Quantized Network Coding for Sparse Messages* |

Laitrakun, Seksan |
TA5.3 |
480 |
*Power Allocation for Distributed Detection in a Multiple-Ring Cluster* |

Lanterman, Aaron |
TC3.2 |
720 |
*Compressive LADAR in Realistic Environments* |

Larue, Anthony |
MA3.2 |
37 |
*Preprocessing for Classification of Sparse Data: Application to Trajectory Recognition* |

Larzabal, Pascal |
TC5.6 |
780 |
*Theoretical Multidimensional Resolution Limit for MIMO Radar Based on the Chernoff Distance* |

Le Bihan, Nicolas |
MA4.2 |
61 |
*Wiener Filtering of Rotation Processes Using Ordered Exponential* |

Leberknight, Christopher |
MB1.3 |
137 |
*Identifying Online Communities of Interest Using Side Information* |

Lee, Heung-No |
MA3.4 |
45 |
*Bayesian Hypothesis Test for Sparse Support Recovery Using Belief Propagation* |

Lee, Jeongkyu |
MB4.2 |
201 |
*Subband Adaptive Convex Combination of Two NLMS Based Filters for Sparse Impulse Response Systems* |

Lee, KyeongPyo |
MB4.2 |
201 |
*Subband Adaptive Convex Combination of Two NLMS Based Filters for Sparse Impulse Response Systems* |

Lee, Nigel |
WA1.4 |
812 |
*Mean Squared Error Performance of Adaptive Matched Field Localization Under Environmental Uncertainty* |

Lee, Okkyun |
TB3.1 |
576 |
*Compressive Subspace Fitting for Multiple Measurement Vectors* |

Lengellé, Regis |
TB4.3 |
604 |
*Dictionary Adaptation for Online Prediction of Time Series Data with Kernels* |

Lev-Ari, Hanoch |
MC4.6 |
353 |
*Lag-Recursive Estimation of the Average Autocorrelation of an Arbitrarily Time-Variant System Response* |

TB5.1 |
624 |
*Multi-sensor Networked State Estimation with Delayed and Irregularly-spaced Observations* |

Li, Jiangyuan |
MC6.4 |
389 |
*Outage Constrained Secrecy Rate Maximization Using Cooperative Jamming* |

Li, Jun |
WA4.5 |
876 |
*Performance Comparison of Airborne Phased- Array and MIMO Radar with Subarrays* |

Li, Shidong |
TB3.5 |
592 |
*Null Space Tuning Based Algorithms for Sparse Representation and Compressed Sensing* |

Li, Yili |
WA6.1 |
900 |
*Signal Classification by Power Spectral Density: An Approach Via Riemannian Geometry* |

Li, Yongzhe |
WA4.5 |
876 |
*Performance Comparison of Airborne Phased- Array and MIMO Radar with Subarrays* |

Liao, Bin |
MA5.2 |
85 |
*Steering Vector Estimation and Beamforming Under Uncertainties* |

Ling, Qing |
MC3.2 |
321 |
*Sparse FIR Estimation of Low-Order Systems* |

Liu, Chih-Hao |
TA5.5 |
488 |
*MIMO Broadcast DFE Transceiver Design with Bit Allocation Under QoS Constraints* |

Liu, Hongming |
WA4.5 |
876 |
*Performance Comparison of Airborne Phased- Array and MIMO Radar with Subarrays* |

Liu, Qingju |
TB6.4 |
664 |
*Reverberant Speech Separation Based on Audio-visual Dictionary Learning and Binaural Cues* |

Liu, Sijia |
TA6.3 |
512 |
*Temporally Staggered Sensing for Field Estimation with Quantized Data in Wireless Sensor Networks* |

Liu, Ying |
MA4.6 |
73 |
*The Relationship Between Transfer Entropy and Directed Information* |

Liu, Yulong |
TB3.5 |
592 |
*Null Space Tuning Based Algorithms for Sparse Representation and Compressed Sensing* |

Liu, Yupeng |
MC6.2 |
381 |
*Relay Selection and Scaling Law in Destination Assisted Physical Layer Secrecy Systems* |

López-Valcarce, Roberto |
WA6.5 |
916 |
*Detection of Gaussian Signals in Unknown Time-Varying Channels* |

Lops, Marco |
TC5.4 |
772 |
*A Track-Before-Detect Procedure for Sparse Data* |

Lorbert, Alexander |
MB5.3 |
229 |
*Regularized Hyperalignment of Multi-set fMRI Data* |

Lu, Chun-Shien |
MB3.5 |
189 |
*Fast OMP: Reformulating OMP Via Iteratively Refining L2-Norm Solutions* |

Lu, Wenjie |
MB2.1 |
149 |
*A Comparison of Information Theoretic Functions for Tracking Maneuvering Targets* |

Luna, Isabel Tienda |
TC2.3 |
700 |
*Basis-Expansion Factor Models for Uncovering Transcription Factor Regulatory Network* |

Lunglmayr, Michael |
MA4.3 |
65 |
*Reducing the Gap Between Linear Biased Classical and Linear Bayesian Estimation* |

Luo, Shuangyu |
MC6.4 |
389 |
*Outage Constrained Secrecy Rate Maximization Using Cooperative Jamming* |

M A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |

Ma, Xiaoli |
TA6.2 |
508 |
*Radio Frequency Tomography in Mobile Networks* |

Ma, Zhanyu |
TA3.6 |
440 |
*EEG Signal Classification with Super-Dirichlet Mixture Model* |

Madhow, Upamanyu |
MC1.2 |
269 |
*Receiver-Coordinated Zero-Forcing Distributed Transmit Nullforming* |

MC1.3 |
273 |
*Initial Over-the-Air Performance Assessment of Ranging and Clock Synchronization Using Radio Frequency Signal Exchange* |

Magnuson, Matthew |
TA3.2 |
424 |
*A Wavelet Clustering Technique for the Identification of Functionally Connected Regions in the Rat Brain Using Resting State fMRI* |

Maleki, Nahal |
TB5.8 |
644 |
*Channel-aware M-ary Distributed Detection: Optimal and Suboptimal Fusion Rules* |

Malik, Hafiz |
MC5.5 |
373 |
*Audio Forensics Using Acoustic Environment Traces* |

Manohar, Shamaiah |
TC2.1 |
692 |
*Base Calling Error Rates in Next-Generation DNA Sequencing* |

Mansour, Hassan |
MC3.6 |
337 |
*Beyond L1-Norm Minimization for Sparse Signal Recovery* |

Manton, Jonathan |
MA4.2 |
61 |
*Wiener Filtering of Rotation Processes Using Ordered Exponential* |

Marcos, Sylvie |
TC5.6 |
780 |
*Theoretical Multidimensional Resolution Limit for MIMO Radar Based on the Chernoff Distance* |

Mardani, Morteza |
MA3.5 |
49 |
*Exact Recovery of Low-rank Plus Compressed Sparse Matrices* |

Margetts, Adam |
MC1.6 |
285 |
*Loss Characterization of Distributed Space-Time Transmit Beamforming with Embedded Channel Probing* |

Martin, Richard |
MB5.6 |
241 |
*Nonparametric Methods for Full-Waveform Ladar Images* |

TA6.6 |
520 |
*How Valid is the Regularly-Spaced Grid Assumption in RSS Source Localization Sensor Networks?* |

Masazade, Engin |
TA6.3 |
512 |
*Temporally Staggered Sensing for Field Estimation with Quantized Data in Wireless Sensor Networks* |

Masson, Antoine |
MB6.3 |
253 |
*Joint Bayesian Decomposition of a Spectroscopic Signal Sequence with RJMCMC* |

Matechik, Stephen |
TA6.2 |
508 |
*Radio Frequency Tomography in Mobile Networks* |

Mateos, Gonzalo |
MA3.5 |
49 |
*Exact Recovery of Low-rank Plus Compressed Sparse Matrices* |

WA5.2 |
876 |
*Nonparametric Low-Rank Tensor Imputation* |

Mayoue, Aurélien |
MA3.2 |
37 |
*Preprocessing for Classification of Sparse Data: Application to Trajectory Recognition* |

Mazet, Vincent |
MB6.3 |
253 |
*Joint Bayesian Decomposition of a Spectroscopic Signal Sequence with RJMCMC* |

McKilliam, Robby |
MB3.6 |
193 |
*Estimating Period From Sparse, Noisy Timing Data* |

McLaughlin, Steve |
TB6.3 |
660 |
*Multicomponent Signal Denoising with Synchrosqueezing* |

Medda, Alessio |
TA3.2 |
424 |
*A Wavelet Clustering Technique for the Identification of Functionally Connected Regions in the Rat Brain Using Resting State fMRI* |

Meignen, Sylvain |
TB6.3 |
660 |
*Multicomponent Signal Denoising with Synchrosqueezing* |

Mendoza-Sanchez, Itza |
MA1.5 |
17 |
*A Mixture of Experts Based Discretization Approach for Characterizing Subsurface Contaminant Source Zones* |

Meng, Jia |
TA3.7 |
444 |
*Classification of EEG Recordings Without Perfectly Time-Locked Events* |

TB6.5 |
668 |
*Exploiting Correlated Discriminant Features in Time Frequency and Space for Characterization and Robust Classification of Image RSVP Events with EEG Data* |

TC2.3 |
700 |
*Basis-Expansion Factor Models for Uncovering Transcription Factor Regulatory Network* |

Menon, Ravi |
WA1.2 |
804 |
*Passive Acoustic Monitoring Using Random Matrix Theory* |

Meola, Joseph |
MA1.2 |
5 |
*Incorporating Spatial Structure Into Hyperspectral Scene Analysis* |

Meriño, Lenis |
TA3.7 |
444 |
*Classification of EEG Recordings Without Perfectly Time-Locked Events* |

TB6.5 |
668 |
*Exploiting Correlated Discriminant Features in Time Frequency and Space for Characterization and Robust Classification of Image RSVP Events with EEG Data* |

Mestdagh, Jean-Michel |
MB6.3 |
253 |
*Joint Bayesian Decomposition of a Spectroscopic Signal Sequence with RJMCMC* |

Mestre, Maria Rosario |
TA3.3 |
428 |
*Comparison of Gaussian Process Models for Single-Trial Event-Related Potentials* |

Meyer, Francois |
WA5.6 |
892 |
*Overcoming Noise, Avoiding Curvature: Optimal Scale Selection for Tangent Plane Recovery* |

Mi, Tiebin |
TB3.5 |
592 |
*Null Space Tuning Based Algorithms for Sparse Representation and Compressed Sensing* |

Michel, Olivier |
MA6.1 |
105 |
*Causal Conditioning and Instantaneous Coupling in Causality Graphs* |

Michielssen, Eric |
MA5.5 |
97 |
*An Iterative, Backscatter-Analysis Based Algorithm for Increasing Transmission Through a Highly-Backscattering Random Medium* |

Milenkovic, Olgica |
TC2.2 |
696 |
*Causal Compressive Sensing for Gene Network Inference* |

Miller, Benjamin |
MA6.3 |
113 |
*Toward Matched Filter Optimization for Subgraph Detection in Dynamic Networks* |

Miller, Eric |
MA1.5 |
17 |
*A Mixture of Experts Based Discretization Approach for Characterizing Subsurface Contaminant Source Zones* |

Miyoshi, Seiji |
MC4.1 |
341 |
*Theoretical Discussion of the Filtered-X LMS Algorithm Based on Statistical Mechanical Analysis* |

Mohammadi, Arash |
MB6.2 |
249 |
*Distributed State Estimation for Large-scale Nonlinear Systems: A Reduced Order Particle Filter Implementation* |

TA6.7 |
524 |
*Full Order Distributed Particle Filters for Intermittent Connections: Feedback From Fusion Filters to Local Filters Improves Performance* |

Montanari, Andrea |
TA3.4 |
432 |
*Accelerated Time-of-Flight Mass Spectrometry* |

Moore, George |
TA3.4 |
432 |
*Accelerated Time-of-Flight Mass Spectrometry* |

Moore, Terrence |
MC2.2 |
293 |
*The Value of Information in Constrained Parametric Models* |

Moran, Bill |
MC2.3 |
297 |
*Maximum-entropy Surrogation in Network Signal Detection* |

Moran, Bill |
TC6.4 |
792 |
*Detection Performance of M-ary Relay Trees with Non-binary Message Alphabets* |

WA4.6 |
868 |
*Coordinating Complementary Waveforms Across Time and Frequency* |

Morral, Gemma |
MC2.5 |
305 |
*On-Line Gossip-Based Distributed Expectation Maximization Algorithm* |

Mossberg, Magnus |
TA4.3 |
456 |
*A Statistical Inference Method for a Subset of Long-range Dependent FARIMA Processes* |

Motamedvaziri, Delaram |
TB4.7 |
616 |
*A Combined Approach to Multi-label Multi-task Learning* |

Moulin, Pierre |
TC4.6 |
756 |
*Real Adaboost for Content Identification* |

Mudumbai, Raghuraman |
MC1.3 |
273 |
*Initial Over-the-Air Performance Assessment of Ranging and Clock Synchronization Using Radio Frequency Signal Exchange* |

MC1.4 |
277 |
*Frequency Estimation in the Presence of Cycle Slips: Filter Banks and Error Bounds for Phase Unwrapping* |

MC1.5 |
281 |
*A Distributed Consensus Approach to Synchronization of RF Signals* |

Mutlu, Ali |
MA6.4 |
117 |
*Dynamic Network Summarization Using Convex Optimization* |

WA5.5 |
888 |
*Hyperspherical Phase Synchrony for Quantifying Multivariate Phase Synchronization* |

N A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |

Nabaee, Mahdy |
WA3.1 |
828 |
*Quantized Network Coding for Sparse Messages* |

Nadakuditi, Raj Rao |
MA5.5 |
97 |
*An Iterative, Backscatter-Analysis Based Algorithm for Increasing Transmission Through a Highly-Backscattering Random Medium* |

MB1.1 |
129 |
*On Hard Limits of Eigen-Analysis Based Planted Clique Detection* |

TA1.1 |
397 |
*The Performance of Deterministic Matched Subspace Detectors When Using Subspaces Estimated From Noisy, Missing Data* |

WA1.1 |
800 |
*The Performance of MUSIC-based DOA in White Noise with Missing Data* |

Naini, Rohit |
TC4.6 |
756 |
*Real Adaboost for Content Identification* |

Nájar, Montse |
WA5.1 |
872 |
*Optimal Linear Correction in LMMSE Estimation Using Moments of the Complex Inverse Wishart Distribution* |

Nallampatti Ekambaram, Venkatesan |
MC3.1 |
317 |
*Non-Line-of-Sight Localization Using Low-rank + Sparse Matrix Decomposition* |

Narang, Sunil |
MB1.4 |
141 |
*Graph-Wavelet Filterbanks for Edge-Aware Image Processing* |

Nascimento, Vitor |
TA6.8 |
528 |
*Continuous-time Distributed Estimation with Asymmetric Mixing* |

Nassar, Marcel |
TC2.6 |
712 |
*Adaptive Experimental Design for Drug Combinations* |

Negahban, Sahand |
TA1.4 |
409 |
*Fast Global Convergence of Gradient Methods for Solving Regularized M-estimation* |

Nelson, Jill |
MB2.6 |
169 |
*A Gossip-based Distributed Processing Algorithm for Multiple Transmitter Localization* |

Nguyen, Hieu |
TB4.1 |
596 |
*Efficient Batch-Mode Active Learning of Random Forest* |

Nikiforov, Igor |
WA6.4 |
912 |
*Statistical Detection of LSB Matching in the Presence of Nuisance Parameters* |

Niu, Ruixin |
MA4.1 |
57 |
*Sequential Bayesian Estimation with Censored Data* |

MC6.3 |
385 |
*System State Estimation in the Presence of False Information Injection* |

Noumir, Zineb |
TB4.2 |
600 |
*One-class Machines Based on the Coherence Criterion* |

Nowak, Rob |
TB4.6 |
612 |
*k-Subspaces with Missing Data* |

Nowak, Robert |
TA1.2 |
401 |
*Sequentially Designed Compressed Sensing* |

O A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |

Oberlin, Thomas |
TB6.3 |
660 |
*Multicomponent Signal Denoising with Synchrosqueezing* |

Oktem, Figen |
TA4.7 |
468 |
*Analytical Precision Limits in Slitless Spectroscopy* |

Onis, Sébastien |
MA3.2 |
37 |
*Preprocessing for Classification of Sparse Data: Application to Trajectory Recognition* |

Ortega, Antonio |
MB1.4 |
141 |
*Graph-Wavelet Filterbanks for Edge-Aware Image Processing* |

Ottersten, Björn |
MA3.1 |
33 |
*Maximum Likelihood Based Sparse and Distributed Conjoint Analysis* |

P A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |

Pacheco, Jason |
WA4.1 |
852 |
*Improved Variational Inference for Tracking in Clutter* |

Pajovic, Milutin |
WA1.3 |
808 |
*Analytical Characterization of the MPDR-based Power Estimators in Snapshot Scarce Regime* |

Pal, Piya |
MA3.6 |
53 |
*Correlation-Aware Techniques for Sparse Support Recovery* |

Pal, Ranadip |
TB2.1 |
552 |
*Analyzing Pathway Design From Drug Perturbation Experiments* |

Palguna, Deepan |
WA5.7 |
896 |
*Non-Parametric Prediction of the Mid-Price Dynamics in a Limit Order Book* |

Pantazis, Dimitrios |
MA6.6 |
125 |
*Of the Largest Eigenvalue for Modularity-Based Partitioning* |

Papachristoudis, Georgios |
MC2.4 |
301 |
*Theoretical Guarantees on Penalized Information Gathering* |

Park, Mijung |
TC2.6 |
712 |
*Adaptive Experimental Design for Drug Combinations* |

Pei, Soo-Chang |
MB3.5 |
189 |
*Fast OMP: Reformulating OMP Via Iteratively Refining L2-Norm Solutions* |

Peleato, Borja |
TA5.8 |
500 |
*On the Distribution of Valid Pages with Greedy Garbage Collection for NAND Flash* |

TC6.2 |
788 |
*Probabilistic Graphical Model for Flash Memory Programming* |

Peng, Lang |
MC4.6 |
353 |
*Lag-Recursive Estimation of the Average Autocorrelation of an Arbitrarily Time-Variant System Response* |

Petropulu, Athina |
MC6.2 |
381 |
*Relay Selection and Scaling Law in Destination Assisted Physical Layer Secrecy Systems* |

MC6.4 |
389 |
*Outage Constrained Secrecy Rate Maximization Using Cooperative Jamming* |

Pezeshki, Ali |
TC6.4 |
792 |
*Detection Performance of M-ary Relay Trees with Non-binary Message Alphabets* |

WA4.6 |
868 |
*Coordinating Complementary Waveforms Across Time and Frequency* |

Phillips, Rhonda |
WA4.2 |
856 |
*Test Statistics for Synthetic Aperture Radar Coherent Change Detection* |

Piotto, Nicola |
MB4.6 |
217 |
*Boosting Quantization for Lp Norm Distortion Measure* |

Pipiras, Vladas |
TC6.5 |
796 |
*Estimation of Flow Distributions Tails From Sampled Traffic* |

Plattner, Alain |
MA1.1 |
1 |
*Analysis of Real Vector Fields on the Sphere Using Slepian Functions* |

Poisson, Lionel |
MB6.3 |
253 |
*Joint Bayesian Decomposition of a Spectroscopic Signal Sequence with RJMCMC* |

Polak, Adam |
TC3.5 |
732 |
*Grouped Incoherent Measurements for Compressive Sensing* |

Polimeni, Jonathan |
MB5.1 |
221 |
*Accelerated Parallel Magnetic Resonance Imaging Reconstruction Using Joint Estimation with a Sparse Signal Model* |

Pollak, Ilya |
WA5.7 |
896 |
*Non-Parametric Prediction of the Mid-Price Dynamics in a Limit Order Book* |

Poor, H. Vincent |
MB1.3 |
137 |
*Identifying Online Communities of Interest Using Side Information* |

Prange, Michael |
MA1.3 |
9 |
*A Heuristic Bayesian Design Criterion for Imaging Resolution Enhancement* |

Prasad, Swati |
TA3.6 |
440 |
*EEG Signal Classification with Super-Dirichlet Mixture Model* |

Preisig, James |
WA1.3 |
808 |
*Analytical Characterization of the MPDR-based Power Estimators in Snapshot Scarce Regime* |

Priebe, Carey |
TC4.3 |
748 |
*A Bootstrap Interval Estimator for Bayes' Classification Error* |

Pruessing, Scott |
MC1.3 |
273 |
*Initial Over-the-Air Performance Assessment of Ranging and Clock Synchronization Using Radio Frequency Signal Exchange* |

Q A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |

Qian, Jing |
MC6.5 |
393 |
*New Statistic in P-value Estimation for Anomaly Detection* |

Quinn, Barry |
MB3.6 |
193 |
*Estimating Period From Sparse, Noisy Timing Data* |

R A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |

Rabbat, Michael |
TB5.3 |
632 |
*Bounded Confidence Opinion Dynamics with Network Constraints and Localized Distributed Averaging* |

Radha, Hayder |
MA6.2 |
109 |
*Graph Entropy Rate Minimization and the Compressibility of Undirected Binary Graphs* |

MB1.5 |
145 |
*Transitivity Matrix of Social Network Graphs* |

Raeman, David |
MC1.3 |
273 |
*Initial Over-the-Air Performance Assessment of Ranging and Clock Synchronization Using Radio Frequency Signal Exchange* |

Raghavan, Kasturi Rangan |
MB2.3 |
157 |
*An Obfuscation Framework for Controlling Value of Information During Sharing* |

Rahardja, Susanto |
MB4.4 |
209 |
*LMS in Prominent System Subspace for Fast System Identification* |

Rahman, Muhammad Mahboob Ur |
MC1.5 |
281 |
*A Distributed Consensus Approach to Synchronization of RF Signals* |

Raich, Raviv |
TC4.1 |
740 |
*Regularized Joint Density Estimation for Multi-Instance Learning* |

Raj, Raghu |
TC4.2 |
744 |
*An Asymptotically Convex Approach to Discriminative Coding* |

Rajawat, Ketan |
MA6.5 |
121 |
*Dynamic Network Kriging* |

Ramadge, Peter |
MB5.3 |
229 |
*Regularized Hyperalignment of Multi-set fMRI Data* |

Ramani, Sathish |
MB5.2 |
225 |
*Alternating Minimization Approach for Multi-frame Image Reconstruction* |

Ramchandran, Kannan |
MC3.1 |
317 |
*Non-Line-of-Sight Localization Using Low-rank + Sparse Matrix Decomposition* |

Ramirez-Echeverria, Felipe |
MC4.2 |
345 |
*Extended UFIR Filtering of Nonlinear Models Corrupted by White Gaussian Noise* |

MC4.3 |
349 |
*Studies of Optimal Memory for Discrete-Time FIR Filters in State-Space* |

Rand, Steve |
MA5.5 |
97 |
*An Iterative, Backscatter-Analysis Based Algorithm for Increasing Transmission Through a Highly-Backscattering Random Medium* |

Rangan, Sundeep |
MC3.3 |
325 |
*A Generalized Framework for Learning and Recovery of Structured Sparse Signals* |

Rasool, Ghulam |
TA3.1 |
420 |
*Muscle Activity Detection From Myoelectric Signals Based on the AR-GARCH Model* |

TB2.3 |
560 |
*Inference of Genetic Regulatory Networks Using Regularized Likelihood with Covariance Estimation* |

Recht, Benjamin |
TB4.6 |
612 |
*k-Subspaces with Missing Data* |

Renaux, Alexandre |
TC5.6 |
780 |
*Theoretical Multidimensional Resolution Limit for MIMO Radar Based on the Chernoff Distance* |

Retraint, Florent |
WA6.4 |
912 |
*Statistical Detection of LSB Matching in the Presence of Nuisance Parameters* |

Rezaei Yousefi, Mohammadmahdi |
TB2.5 |
568 |
*Optimal Cancer Therapy Based on a Tumor Growth Inhibition Model* |

Ricaud, Benjamin |
MB1.2 |
133 |
*A Windowed Graph Fourier Transform* |

Richard, Cédric |
TB4.2 |
600 |
*One-class Machines Based on the Coherence Criterion* |

TB4.3 |
604 |
*Dictionary Adaptation for Online Prediction of Time Series Data with Kernels* |

Richard M., Leahy |
MA6.6 |
125 |
*Of the Largest Eigenvalue for Modularity-Based Partitioning* |

Richmond, Christ |
WA1.4 |
812 |
*Mean Squared Error Performance of Adaptive Matched Field Localization Under Environmental Uncertainty* |

Robbins, Kay A. |
TA3.7 |
444 |
*Classification of EEG Recordings Without Perfectly Time-Locked Events* |

TB6.5 |
668 |
*Exploiting Correlated Discriminant Features in Time Frequency and Space for Characterization and Robust Classification of Image RSVP Events with EEG Data* |

Rojas, Herbert |
MB4.5 |
213 |
*Adaptive Filtering for Lightning Electric Field (LEF) Signals in Fractional Fourier Domain* |

Romberg, Justin |
TC3.2 |
720 |
*Compressive LADAR in Realistic Environments* |

Romero, Daniel |
WA6.5 |
916 |
*Detection of Gaussian Signals in Unknown Time-Varying Channels* |

Rongshan, Yu |
MB4.4 |
209 |
*LMS in Prominent System Subspace for Fast System Identification* |

Rose, Kenneth |
TA4.4 |
460 |
*Linearity Conditions for Optimal Estimation From Multiple Noisy Measurements* |

Rozell, Christopher |
TB3.2 |
580 |
*The Restricted Isometry Property for Echo State Networks with Applications to Sequence Memory Capacity* |

TC3.2 |
720 |
*Compressive LADAR in Realistic Environments* |

Rupp, Markus |
TB5.2 |
628 |
*Almost Sure Convergence of Consensus Algorithms by Relaxed Projection Mappings* |

S A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |

Sacchi, Mauricio |
MA1.8 |
29 |
*Reconstruction of Seismic Data Via Tensor Completion* |

Sadler, Brian |
MC2.2 |
293 |
*The Value of Information in Constrained Parametric Models* |

Saidé, Chafic |
TB4.3 |
604 |
*Dictionary Adaptation for Online Prediction of Time Series Data with Kernels* |

Sajjadieh, Mohammad |
MA5.3 |
89 |
*Uniform Rectangular Time Reversal Arrays: Joint Azimuth and Elevation Estimation* |

Sale, Darryl |
TC3.2 |
720 |
*Compressive LADAR in Realistic Environments* |

Saligrama, Venkatesh |
MC3.4 |
329 |
*Sample Complexity of Salient Feature Identification for Sparse Signal Processing* |

MC6.5 |
393 |
*New Statistic in P-value Estimation for Anomaly Detection* |

TA1.3 |
405 |
*Sensing Aware Dimensionality Reduction for Nearest Neighbor Classification of High Dimensional Signals* |

TB4.7 |
616 |
*A Combined Approach to Multi-label Multi-task Learning* |

WA6.6 |
920 |
*Two Stage Decision System* |

Sallem, Soumaya |
WA3.5 |
840 |
*Optimal SIMO MLSE Receivers for the Detection of Linear Modulation Corrupted by Noncircular Interference* |

Salmon, Joseph |
TA4.6 |
464 |
*A Two-Stage Denoising Filter: The Preprocessed Yaroslavsky Filter* |

Sanchez-Castillo, Manuel |
TC2.3 |
700 |
*Basis-Expansion Factor Models for Uncovering Transcription Factor Regulatory Network* |

Sanghavi, Sujay |
TA1.6 |
416 |
*Greedy Dirty Models: A New Algorithm for Multiple Sparse Regression* |

Sankaranarayanan, Aswin |
TC3.4 |
728 |
*Near-Isometric Linear Embeddings of Manifolds* |

Santamaria, Ignacio |
WA6.5 |
916 |
*Detection of Gaussian Signals in Unknown Time-Varying Channels* |

Sarr, Amadou |
MC4.3 |
349 |
*Studies of Optimal Memory for Discrete-Time FIR Filters in State-Space* |

Sayed, Ali |
MB2.5 |
165 |
*Diffusion LMS for Source and Process Estimation in Sensor Networks* |

MC2.7 |
313 |
*Diffusion Networks Outperform Consensus Networks* |

TA6.8 |
528 |
*Continuous-time Distributed Estimation with Asymmetric Mixing* |

TB5.9 |
648 |
*Distributed Pareto-Optimal Solutions Via Diffusion Adaptation* |

Scharf, Louis |
TA6.1 |
504 |
*Resolving a Variable Number of Hypotheses with Multiple Sensors* |

Scherber, Dzulkifli |
MC1.3 |
273 |
*Initial Over-the-Air Performance Assessment of Ranging and Clock Synchronization Using Radio Frequency Signal Exchange* |

Schizas, Ioannis |
MA3.3 |
41 |
*Distributed Informative Sensor Determination Via Sparsity-Cognizant Matrix Decomposition* |

Schlüter, Ralf |
MC5.3 |
365 |
*Phase Difference of Filter-stable Part-tones as Acoustic Feature* |

Schmitt, Harry |
MC2.3 |
297 |
*Maximum-entropy Surrogation in Network Signal Detection* |

Schniter, Philip |
MC3.3 |
325 |
*A Generalized Framework for Learning and Recovery of Structured Sparse Signals* |

Schonfeld, Dan |
MB4.6 |
217 |
*Boosting Quantization for Lp Norm Distortion Measure* |

TB2.3 |
560 |
*Inference of Genetic Regulatory Networks Using Regularized Likelihood with Covariance Estimation* |

TC6.1 |
784 |
*Mapping Equivalence Under Iterative Dynamics for Symbolic Sequences* |

Sebald, Daniel |
WA3.7 |
848 |
*Fast Adaptive Decision-Selection Equalizer Convergence Using a Tree-Structured Algorithm* |

Seghouane, Abd-krim |
MB5.4 |
233 |
*fMRI Activation Detection Using a Variant of Akaike Information Criterion* |

Sejdić, Ervin |
TC3.6 |
736 |
*Compressive Asynchronous Decomposition of Heart Sounds* |

Serra, Jordi |
WA5.1 |
872 |
*Optimal Linear Correction in LMMSE Estimation Using Moments of the Complex Inverse Wishart Distribution* |

Setlur, Pawan |
WA4.4 |
864 |
*Waveform Scheduling Via Directed Information in Cognitive Radar* |

Shafinia, Mohammad Hossein |
MB3.2 |
177 |
*Equivalence of Synthesis and Atomic Formulations of Sparse Recovery* |

Shapo, Benjamin |
TB1.1 |
532 |
*Multistatic RADAR Change Detection Using Sparse Imaging Methods* |

Shi, Wei |
MC3.2 |
321 |
*Sparse FIR Estimation of Low-Order Systems* |

Shmaliy, Yuriy |
MC4.2 |
345 |
*Extended UFIR Filtering of Nonlinear Models Corrupted by White Gaussian Noise* |

MC4.3 |
349 |
*Studies of Optimal Memory for Discrete-Time FIR Filters in State-Space* |

Shuman, David |
MB1.2 |
133 |
*A Windowed Graph Fourier Transform* |

Sidiropoulos, Nicholas |
MA3.1 |
33 |
*Maximum Likelihood Based Sparse and Distributed Conjoint Analysis* |

Silva, Jorge |
MB2.4 |
161 |
*Active Learning for Large-Scale Factor Analysis* |

Simmons, Jeff |
TC1.3 |
680 |
*Bayesian Tomographic Reconstruction for High Angle Annular Dark Field (HAADF) Scanning Transmission Electron Microscopy (STEM)* |

Simons, Frederik |
MA1.1 |
1 |
*Analysis of Real Vector Fields on the Sphere Using Slepian Functions* |

Singh, Aarti |
TC3.3 |
724 |
*Subspace Detection of High-Dimensional Vectors Using Compressive Sampling* |

Singh, Moninder |
WA6.2 |
904 |
*Decision Trees for Heterogeneous Dose-Response Signal Analysis* |

Sirianunpiboon, Songsri |
MA5.6 |
101 |
*Fast Tests for the Common Causality of Time-Of-Arrival Events From Their Mutual Minkowski Distances* |

TA5.2 |
476 |
*Parameter Estimation Techniques for Polynomial Phase and Phase Coded Waveforms in Multi-Channel Systems* |

Slapak, Alon |
TA4.1 |
448 |
*Charrelation-Based Estimation of the Parameters of Non-Gaussian Autoregressive Processes* |

Slučiak, Ondrej |
TB5.2 |
628 |
*Almost Sure Convergence of Consensus Algorithms by Relaxed Projection Mappings* |

Šmídl, Václav |
MB4.1 |
197 |
*Bayesian Estimation of Forgetting Factor in Adaptive Filtering and Change Detection* |

Smyth, Padhraic |
TC5.2 |
768 |
*A Graphical Model Representation of the Track-Oriented Multiple Hypothesis Tracker* |

Sohn, Sang-Wook |
MB4.2 |
201 |
*Subband Adaptive Convex Combination of Two NLMS Based Filters for Sparse Impulse Response Systems* |

Song, Li |
WA6.3 |
908 |
*A Selection Criterion for Piecewise Stationary Long-Memory Models* |

Song, Xiufeng |
TC5.5 |
776 |
*MIMO Radar Detection with Heterogeneous Propagation Losses* |

Song, Ying |
MB4.4 |
209 |
*LMS in Prominent System Subspace for Fast System Identification* |

Sorensen, Neil |
TC1.1 |
672 |
*Application of FIB/SEM/EDXS Tomographic Spectral Imaging and Multivariate Statistical Analysis to the Analysis of Localized Corrosion* |

Srivastava, Mani |
MB2.3 |
157 |
*An Obfuscation Framework for Controlling Value of Information During Sharing* |

Stanković, Aleksandar |
TB5.1 |
624 |
*Multi-sensor Networked State Estimation with Delayed and Irregularly-spaced Observations* |

Stevens, Troy |
MC1.1 |
265 |
*Reference-Aided Distributed Transmit Beamforming with Mobile Radios* |

MC1.4 |
277 |
*Frequency Estimation in the Presence of Cycle Slips: Filter Banks and Error Bounds for Phase Unwrapping* |

Strauss, Martin |
TB1.2 |
536 |
*Reusable Low-Error Compressive Sampling Schemes Through Privacy* |

Streilein, William |
MC6.1 |
377 |
*Probabilistic Reasoning for Streaming Anomaly Detection* |

Stuff, Mark |
TB1.3 |
540 |
*Compressive Sensing and 3-D Radar Imaging* |

Subotic, Nikola |
TB1.3 |
540 |
*Compressive Sensing and 3-D Radar Imaging* |

Sudderth, Erik |
WA4.1 |
852 |
*Improved Variational Inference for Tracking in Clutter* |

Sun, Zachary |
TA1.3 |
405 |
*Sensing Aware Dimensionality Reduction for Nearest Neighbor Classification of High Dimensional Signals* |

Suryaprakash, Raj Tejas |
TA1.1 |
397 |
*The Performance of Deterministic Matched Subspace Detectors When Using Subspaces Estimated From Noisy, Missing Data* |

WA1.1 |
800 |
*The Performance of MUSIC-based DOA in White Noise with Missing Data* |

Szlam, Arthur |
TB4.6 |
612 |
*k-Subspaces with Missing Data* |

T A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |

Tajer, Ali |
MB1.3 |
137 |
*Identifying Online Communities of Interest Using Side Information* |

Tan, Jin |
TB3.4 |
588 |
*Optimal Estimation with Arbitrary Error Metrics in Compressed Sensing* |

Tan, Zheng-Hua |
TA3.6 |
440 |
*EEG Signal Classification with Super-Dirichlet Mixture Model* |

Taşdemir, Çağla |
MB6.5 |
261 |
*Estimation of Posterior Distributions with Population Monte Carlo Sampling and Graphical Modeling* |

Thelen, Brian |
TB1.3 |
540 |
*Compressive Sensing and 3-D Radar Imaging* |

Thomson, David |
TB6.2 |
656 |
*Some Comments on Multitaper Estimates of Autocorrelation* |

Tian, Zhi |
MC3.2 |
321 |
*Sparse FIR Estimation of Low-Order Systems* |

TB1.5 |
548 |
*Compressed Sensing for MIMO RADAR: A Stochastic Perspective* |

Togami, Masahito |
MC5.1 |
357 |
*Speech Enhancement Combined with Dereverberation and Acoustic Echo Reduction for Time Varying Systems* |

Torkildson, Eric |
MC1.6 |
285 |
*Loss Characterization of Distributed Space-Time Transmit Beamforming with Embedded Channel Probing* |

Tran, Duy |
TC5.6 |
780 |
*Theoretical Multidimensional Resolution Limit for MIMO Radar Based on the Chernoff Distance* |

Trapeznikov, Kirill |
WA6.6 |
920 |
*Two Stage Decision System* |

Tsakonas, Efthymios |
MA3.1 |
33 |
*Maximum Likelihood Based Sparse and Distributed Conjoint Analysis* |

Tsiligkaridis, Theodoros |
WA5.4 |
884 |
*Kronecker Graphical Lasso* |

Tsui, Kai Man |
MA5.2 |
85 |
*Steering Vector Estimation and Beamforming Under Uncertainties* |

MC5.2 |
361 |
*A New Regularized TVAR-based Algorithm for Recursive Detection of Nonstationarity and Its Application to Speech Signals* |

Tu, Sheng-Yuan |
MC2.7 |
313 |
*Diffusion Networks Outperform Consensus Networks* |

Tuladhar, Saurav |
WA1.7 |
824 |
*Approximate Eigenvalue Distribution of a Cylindrically Isotropic Noise Sample Covariance Matrix* |

Tüske, Zoltán |
MC5.3 |
365 |
*Phase Difference of Filter-stable Part-tones as Acoustic Feature* |

Tuysuzoglu, Ahmet |
TC1.4 |
684 |
*Discrete Image Reconstruction for Material Quantification* |

U A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |

Ünlü, M. Selim |
TC1.4 |
684 |
*Discrete Image Reconstruction for Material Quantification* |

V A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |

Vaidyanathan, P. p. |
MA3.6 |
53 |
*Correlation-Aware Techniques for Sparse Support Recovery* |

TA5.5 |
488 |
*MIMO Broadcast DFE Transceiver Design with Bit Allocation Under QoS Constraints* |

Valero, Henri Pierre |
MA1.4 |
13 |
*Robust Detection of Weak Acoustic Signals in Noise Using Near Optimal Shrinkage in Radon Domain* |

Van Benthem, Mark |
TC1.1 |
672 |
*Application of FIB/SEM/EDXS Tomographic Spectral Imaging and Multivariate Statistical Analysis to the Analysis of Localized Corrosion* |

Vandergheynst, Pierre |
MB1.2 |
133 |
*A Windowed Graph Fourier Transform* |

Varadan, Vinay |
TC2.5 |
708 |
*Statistical Assessment of Gene Fusion Detection Algorithms Using RNA Sequencing Data* |

Varshney, Kush |
WA6.2 |
904 |
*Decision Trees for Heterogeneous Dose-Response Signal Analysis* |

Varshney, Pramod |
MA4.1 |
57 |
*Sequential Bayesian Estimation with Censored Data* |

TA6.3 |
512 |
*Temporally Staggered Sensing for Field Estimation with Quantized Data in Wireless Sensor Networks* |

Veeravalli, Venugopal |
TB5.4 |
636 |
*Energy-Efficient Quickest Change Detection in Sensor Networks* |

Venkatakrishnan, Singanallur |
TC1.3 |
680 |
*Bayesian Tomographic Reconstruction for High Angle Annular Dark Field (HAADF) Scanning Transmission Electron Microscopy (STEM)* |

Venturino, Luca |
TC5.4 |
772 |
*A Track-Before-Detect Procedure for Sparse Data* |

Vía, Javier |
WA6.5 |
916 |
*Detection of Gaussian Signals in Unknown Time-Varying Channels* |

Vikalo, Haris |
TC2.1 |
692 |
*Base Calling Error Rates in Next-Generation DNA Sequencing* |

TC2.6 |
712 |
*Adaptive Experimental Design for Drug Combinations* |

Viswanatha, Kumar |
TA4.4 |
460 |
*Linearity Conditions for Optimal Estimation From Multiple Noisy Measurements* |

Vosoughi, Azadeh |
MC2.6 |
309 |
*Correlated Observations in Distributed Detection Systems* |

TB5.8 |
644 |
*Channel-aware M-ary Distributed Detection: Optimal and Suboptimal Fusion Rules* |

W A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |

Wage, Kathleen |
WA1.5 |
816 |
*Experimental Validation of a Random Matrix Theory Model for Dominant Mode Rejection Beamformer Notch Depth* |

WA1.6 |
820 |
*A Random Matrix Theory Model for the Dominant Mode Rejection Beamformer Notch Depth* |

WA1.7 |
824 |
*Approximate Eigenvalue Distribution of a Cylindrically Isotropic Noise Sample Covariance Matrix* |

Wainwright, Martin |
TA1.4 |
409 |
*Fast Global Convergence of Gradient Methods for Solving Regularized M-estimation* |

Wakin, Michael |
TB3.3 |
584 |
*Online Search Orthogonal Matching Pursuit* |

Wald, Lawrence |
MB5.1 |
221 |
*Accelerated Parallel Magnetic Resonance Imaging Reconstruction Using Joint Estimation with a Sparse Signal Model* |

Walter, James |
TB1.4 |
544 |
*Minimum L1 Norm SAR Image Formation* |

Wang, Jun |
WA6.2 |
904 |
*Decision Trees for Heterogeneous Dose-Response Signal Analysis* |

Wang, Liming |
MB4.6 |
217 |
*Boosting Quantization for Lp Norm Distortion Measure* |

TB2.2 |
556 |
*A Non-parametric Bayesian Clustering for Gene Expression Data* |

TB2.7 |
572 |
*Gene Deletion Data Based Genomic Regulatory Network Inference* |

TC6.1 |
784 |
*Mapping Equivalence Under Iterative Dynamics for Symbolic Sequences* |

Wang, Qiu |
TA3.5 |
436 |
*Describing the Structure of a Macro Molecular Complex as a Random Signal in Noise and a Maximum Likelihood Reconstruction* |

Wang, Wenwu |
TB6.4 |
664 |
*Reverberant Speech Separation Based on Audio-visual Dictionary Learning and Binaural Cues* |

Wang, Xiaodong |
TB2.2 |
556 |
*A Non-parametric Bayesian Clustering for Gene Expression Data* |

TB2.7 |
572 |
*Gene Deletion Data Based Genomic Regulatory Network Inference* |

Weber, Rodolphe |
MA5.4 |
93 |
*Oblique Projection Beamforming for RFI Mitigation in Radio Astronomy* |

Wei, Dennis |
MB2.2 |
153 |
*Multistage Adaptive Estimation of Sparse Signals* |

Wei, Hai |
TB4.1 |
596 |
*Efficient Batch-Mode Active Learning of Random Forest* |

Wei, Liying |
MA1.1 |
1 |
*Analysis of Real Vector Fields on the Sphere Using Slepian Functions* |

TB6.1 |
652 |
*A New Non-redundant Complex Hilbert Wavelet Transforms* |

Weinstein, Alejandro |
TB3.3 |
584 |
*Online Search Orthogonal Matching Pursuit* |

Weller, Daniel |
MB5.1 |
221 |
*Accelerated Parallel Magnetic Resonance Imaging Reconstruction Using Joint Estimation with a Sparse Signal Model* |

Wendt, Herwig |
MA4.4 |
69 |
*Multifractal Analysis of Self-Similar Processes* |

Wiesel, Ami |
WA5.3 |
880 |
*On the Convexity in Kronecker Structured Covariance Estimation* |

Willett, Peter |
TC5.5 |
776 |
*MIMO Radar Detection with Heterogeneous Propagation Losses* |

Willett, Rebecca |
MB5.5 |
237 |
*The Value of Multispectral Observations in Photon-Limited Quantitative Tissue Analysis* |

TA4.6 |
464 |
*A Two-Stage Denoising Filter: The Preprocessed Yaroslavsky Filter* |

TB4.8 |
620 |
*Multiscale Online Tracking of Manifolds* |

Willis, Martha |
TA3.2 |
424 |
*A Wavelet Clustering Technique for the Identification of Functionally Connected Regions in the Rat Brain Using Resting State fMRI* |

Wirfält, Petter |
MA4.7 |
77 |
*An ESPRIT-Based Parameter Estimator for Spectroscopic Data* |

MA5.1 |
81 |
*Robust Prior-based Direction of Arrival Estimation* |

Wolfe, Patrick |
WA4.2 |
856 |
*Test Statistics for Synthetic Aperture Radar Coherent Change Detection* |

Wong, Kon Max |
WA6.1 |
900 |
*Signal Classification by Power Spectral Density: An Approach Via Riemannian Geometry* |

Woodruff, David |
TB1.2 |
536 |
*Reusable Low-Error Compressive Sampling Schemes Through Privacy* |

Wootters, Mary |
TB1.2 |
536 |
*Reusable Low-Error Compressive Sampling Schemes Through Privacy* |

Worcester, Peter |
WA1.5 |
816 |
*Experimental Validation of a Random Matrix Theory Model for Dominant Mode Rejection Beamformer Notch Depth* |

Wu, Gang |
MC3.2 |
321 |
*Sparse FIR Estimation of Low-Order Systems* |

X A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |

Xie, Yao |
TB3.6 |
592 |
*Compressive Demodulation of Mutually Interfering Signals* |

TB4.8 |
620 |
*Multiscale Online Tracking of Manifolds* |

Xu, Hao |
MB5.3 |
229 |
*Regularized Hyperalignment of Multi-set fMRI Data* |

Xue, Feng |
TA4.2 |
452 |
*SURE-based Blind Gaussian Deconvolution* |

Y A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |

Yadegar, Joseph |
TB4.1 |
596 |
*Efficient Batch-Mode Active Learning of Random Forest* |

Yan, Bei |
TB5.1 |
624 |
*Multi-sensor Networked State Estimation with Delayed and Irregularly-spaced Observations* |

Yang, Na |
MC5.4 |
369 |
*BaNa: A Hybrid Approach for Noise Resilient Pitch Detection* |

Yang, Tianbao |
TC4.4 |
752 |
*Learning Kernel Combination From Noisy Pairwise Constraints* |

Yap, Han Lun |
TB3.2 |
580 |
*The Restricted Isometry Property for Echo State Networks with Applications to Sequence Memory Capacity* |

Ye, Jong Chul |
TB3.1 |
576 |
*Compressive Subspace Fitting for Multiple Measurement Vectors* |

Yeredor, Arie |
TA4.1 |
448 |
*Charrelation-Based Estimation of the Parameters of Non-Gaussian Autoregressive Processes* |

Yu, Zhenhua |
WA3.3 |
832 |
*Time-Domain Impulse Injection Method for Crest Factor Reduction of OFDM Signals* |

Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |

Zhang, Gxuoxian |
MB2.1 |
149 |
*A Comparison of Information Theoretic Functions for Tracking Maneuvering Targets* |

Zhang, Zhenliang |
TC6.4 |
792 |
*Detection Performance of M-ary Relay Trees with Non-binary Message Alphabets* |

Zhang, Zhiguo |
MC5.2 |
361 |
*A New Regularized TVAR-based Algorithm for Recursive Detection of Nonstationarity and Its Application to Speech Signals* |

Zhao, Hong |
MC5.5 |
373 |
*Audio Forensics Using Acoustic Environment Traces* |

Zheng, Yujiao |
MA4.1 |
57 |
*Sequential Bayesian Estimation with Censored Data* |

Zhou, G. Tong |
WA3.3 |
832 |
*Time-Domain Impulse Injection Method for Crest Factor Reduction of OFDM Signals* |

Zhou, Shengli |
TC5.5 |
776 |
*MIMO Radar Detection with Heterogeneous Propagation Losses* |

Zhou, Shuheng |
WA5.4 |
884 |
*Kronecker Graphical Lasso* |

Zhou, Yan |
MB6.1 |
245 |
*Bayesian Model Comparison Via Path-Sampling Sequential Monte Carlo* |

Ziniel, Justin |
MC3.3 |
325 |
*A Generalized Framework for Learning and Recovery of Structured Sparse Signals* |

Zitzmann, Cathel |
WA6.4 |
912 |
*Statistical Detection of LSB Matching in the Presence of Nuisance Parameters* |

Zoltowski, Michael |
TA5.1 |
472 |
*Bayesian Sparse Channel Estimation and Tracking* |

WA3.6 |
844 |
*Branch and Bound Algorithm for Code Spread OFDM* |