Author index
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
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 | Diffusion LMS for Source and Process Estimation in Sensor Networks | |
Abriola, Linda | MA1.5 | A Mixture of Experts Based Discretization Approach for Characterizing Subsurface Contaminant Source Zones | |
Abry, Patrice | MA4.4 | Multifractal Analysis of Self-Similar Processes | |
Achkar, Roger | TB4.3 | Dictionary Adaptation for Online Prediction of Time Series Data with Kernels | |
Adalbjörnsson, Stefan | MB3.1 | Efficient Block and Time-Recursive Estimation of Sparse Volterra Systems | |
Adalsteinsson, Elfar | MB5.1 | Accelerated Parallel Magnetic Resonance Imaging Reconstruction Using Joint Estimation with a Sparse Signal Model | |
Aeron, Shuchin | MA1.4 | Robust Detection of Weak Acoustic Signals in Noise Using Near Optimal Shrinkage in Radon Domain | |
Agarwal, Alekh | TA1.4 | Fast Global Convergence of Gradient Methods for Solving Regularized M-estimation | |
Agarwal, Rajiv | TA5.8 | On the Distribution of Valid Pages with Greedy Garbage Collection for NAND Flash | |
TC6.2 | Probabilistic Graphical Model for Flash Memory Programming | ||
Aghagolzadeh, Mohammad | MB1.5 | Transitivity Matrix of Social Network Graphs | |
Ahmadi, Hamidreza | MC2.6 | Correlated Observations in Distributed Detection Systems | |
Ahmed, Bilal | MA1.5 | A Mixture of Experts Based Discretization Approach for Characterizing Subsurface Contaminant Source Zones | |
Aksoylar, Cem | MC3.4 | Sample Complexity of Salient Feature Identification for Sparse Signal Processing | |
Akyol, Emrah | TA4.4 | Linearity Conditions for Optimal Estimation From Multiple Noisy Measurements | |
Alkishriwo, Osama | TC3.6 | Compressive Asynchronous Decomposition of Heart Sounds | |
Almodovar, Jaime | MB2.6 | A Gossip-based Distributed Processing Algorithm for Multiple Transmitter Localization | |
Amblard, Pierre-Olivier | MA6.1 | Causal Conditioning and Instantaneous Coupling in Causality Graphs | |
Amindavar, Hamidreza | TC5.1 | Maneuvering Target Tracking Based on SDE Driven by GARCH Volatility | |
Antunes, Nelson | TC6.5 | Estimation of Flow Distributions Tails From Sampled Traffic | |
Applebaum, Lorne | TB3.6 | Compressive Demodulation of Mutually Interfering Signals | |
Arce, Gonzalo | TC3.1 | Restricted Isometry Property in Coded Aperture Compressive Spectral Imaging | |
Arguello, Henry | TC3.1 | Restricted Isometry Property in Coded Aperture Compressive Spectral Imaging | |
Arias-Castro, Ery | TA4.6 | A Two-Stage Denoising Filter: The Preprocessed Yaroslavsky Filter | |
Asendorf, Nicholas | TA1.1 | The Performance of Deterministic Matched Subspace Detectors When Using Subspaces Estimated From Noisy, Missing Data | |
Ash, Joshua | MA1.2 | Incorporating Spatial Structure Into Hyperspectral Scene Analysis | |
Asif, Amir | MA5.3 | Uniform Rectangular Time Reversal Arrays: Joint Azimuth and Elevation Estimation | |
MB6.2 | Distributed State Estimation for Large-scale Nonlinear Systems: A Reduced Order Particle Filter Implementation | ||
TA6.7 | Full Order Distributed Particle Filters for Intermittent Connections: Feedback From Fusion Filters to Local Filters Improves Performance | ||
WA4.3 | Time Reversal MIMO Radar for Angle-Doppler Estimation | ||
Aston, John | MB6.1 | Bayesian Model Comparison Via Path-Sampling Sequential Monte Carlo | |
Atia, George | MC3.4 | Sample Complexity of Salient Feature Identification for Sparse Signal Processing | |
Aviyente, Selin | MA6.4 | Dynamic Network Summarization Using Convex Optimization | |
MA4.6 | The Relationship Between Transfer Entropy and Directed Information | ||
MA6.2 | Graph Entropy Rate Minimization and the Compressibility of Undirected Binary Graphs | ||
MB3.3 | Discriminative Sparse Image Representation for Classification Based on a Greedy Algorithm | ||
WA5.5 | Hyperspherical Phase Synchrony for Quantifying Multivariate Phase Synchronization | ||
Azizyan, Martin | TC3.3 | 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 | BaNa: A Hybrid Approach for Noise Resilient Pitch Detection | |
Bae, Hyeon-Deok | MB4.2 | Subband Adaptive Convex Combination of Two NLMS Based Filters for Sparse Impulse Response Systems | |
Baggeroer, Arthur | WA1.3 | Analytical Characterization of the MPDR-based Power Estimators in Snapshot Scarce Regime | |
Balzano, Laura | TB4.6 | k-Subspaces with Missing Data | |
Banerjee, Nilanjana | TC2.5 | Statistical Assessment of Gene Fusion Detection Algorithms Using RNA Sequencing Data | |
Banerjee, Taposh | TB5.4 | Energy-Efficient Quickest Change Detection in Sensor Networks | |
Baraniuk, Richard | TA1.2 | Sequentially Designed Compressed Sensing | |
TC3.4 | Near-Isometric Linear Embeddings of Manifolds | ||
Barjasteh, Iman | MB1.5 | Transitivity Matrix of Social Network Graphs | |
Barnard, Mark | TB6.4 | Reverberant Speech Separation Based on Audio-visual Dictionary Learning and Binaural Cues | |
Baron, Dror | TB3.4 | Optimal Estimation with Arbitrary Error Metrics in Compressed Sensing | |
Barthélemy, Quentin | MA3.2 | Preprocessing for Classification of Sparse Data: Application to Trajectory Recognition | |
Baxley, Robert | TA6.2 | Radio Frequency Tomography in Mobile Networks | |
WA3.3 | Time-Domain Impulse Injection Method for Crest Factor Reduction of OFDM Signals | ||
Bazerque, Juan Andrés | WA5.2 | Nonparametric Low-Rank Tensor Imputation | |
Behmardi, Behrouz | TC4.1 | Regularized Joint Density Estimation for Multi-Instance Learning | |
Berlow, Noah | TB2.1 | Analyzing Pathway Design From Drug Perturbation Experiments | |
Besson, Olivier | MB4.3 | Adaptive Filtering in the Presence of Outliers | |
Bianchi, Pascal | MC2.5 | On-Line Gossip-Based Distributed Expectation Maximization Algorithm | |
Bidigare, Patrick | MC1.2 | Receiver-Coordinated Zero-Forcing Distributed Transmit Nullforming | |
MC1.3 | Initial Over-the-Air Performance Assessment of Ranging and Clock Synchronization Using Radio Frequency Signal Exchange | ||
Bidon, Stéphanie | MB4.3 | Adaptive Filtering in the Presence of Outliers | |
Bisdikian, Chatschik | MB2.3 | An Obfuscation Framework for Controlling Value of Information During Sharing | |
Blasch, Erik | TB1.5 | Compressed Sensing for MIMO RADAR: A Stochastic Perspective | |
Bliss, Daniel | MC1.6 | Loss Characterization of Distributed Space-Time Transmit Beamforming with Embedded Channel Probing | |
Bliss, Nadya | MA6.3 | Toward Matched Filter Optimization for Subgraph Detection in Dynamic Networks | |
Blu, Thierry | TA4.2 | SURE-based Blind Gaussian Deconvolution | |
TB6.1 | A New Non-redundant Complex Hilbert Wavelet Transforms | ||
Bolanos, Marcos | MA6.2 | Graph Entropy Rate Minimization and the Compressibility of Undirected Binary Graphs | |
Bondon, Pascal | WA6.3 | A Selection Criterion for Piecewise Stationary Long-Memory Models | |
Boonstra, Albert Jan | MA5.4 | Oblique Projection Beamforming for RFI Mitigation in Radio Astronomy | |
Bose, Sandip | MA1.4 | Robust Detection of Weak Acoustic Signals in Noise Using Near Optimal Shrinkage in Radon Domain | |
Bouaynaya, Nidhal | TA3.1 | Muscle Activity Detection From Myoelectric Signals Based on the AR-GARCH Model | |
TB2.3 | Inference of Genetic Regulatory Networks Using Regularized Likelihood with Covariance Estimation | ||
Boulanger, Jérémie | MA4.2 | Wiener Filtering of Rotation Processes Using Ordered Exponential | |
Bouman, Charles | TC1.3 | Bayesian Tomographic Reconstruction for High Angle Annular Dark Field (HAADF) Scanning Transmission Electron Microscopy (STEM) | |
Boyer, Remy | TC5.6 | Theoretical Multidimensional Resolution Limit for MIMO Radar Based on the Chernoff Distance | |
Braga-Neto, Ulisses | TC2.4 | Joint State and Parameter Estimation for Boolean Dynamical Systems | |
Brennan, Mike | TB1.1 | Multistatic RADAR Change Detection Using Sparse Imaging Methods | |
Briggs, Forrest | TC4.1 | Regularized Joint Density Estimation for Multi-Instance Learning | |
Brown, Donald | MC1.2 | Receiver-Coordinated Zero-Forcing Distributed Transmit Nullforming | |
Buck, John | WA1.7 | Approximate Eigenvalue Distribution of a Cylindrically Isotropic Noise Sample Covariance Matrix | |
WA1.5 | Experimental Validation of a Random Matrix Theory Model for Dominant Mode Rejection Beamformer Notch Depth | ||
WA1.6 | A Random Matrix Theory Model for the Dominant Mode Rejection Beamformer Notch Depth | ||
Buschelman, Eric | MB5.6 | Nonparametric Methods for Full-Waveform Ladar Images | |
Butala, Mark | MA1.6 | 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 | Compressive Demodulation of Mutually Interfering Signals | |
Can, Azime | TC3.6 | Compressive Asynchronous Decomposition of Heart Sounds | |
Capdessus, Cecile | MA5.4 | Oblique Projection Beamforming for RFI Mitigation in Radio Astronomy | |
Caramanis, Constantine | TA1.5 | Simple Algorithms for Sparse Linear Regression with Uncertain Covariates | |
Cardona-Romero, Suhaily | MB3.3 | Discriminative Sparse Image Representation for Classification Based on a Greedy Algorithm | |
Carin, Lawrence | MB2.4 | Active Learning for Large-Scale Factor Analysis | |
Carmon, Danielle | TB3.4 | Optimal Estimation with Arbitrary Error Metrics in Compressed Sensing | |
Carter, Kevin | MC6.1 | Probabilistic Reasoning for Streaming Anomaly Detection | |
Castañón, David | TB4.7 | A Combined Approach to Multi-label Multi-task Learning | |
TC1.4 | Discrete Image Reconstruction for Material Quantification | ||
WA6.6 | Two Stage Decision System | ||
Castro, Rui | TA1.2 | Sequentially Designed Compressed Sensing | |
Cevher, Volkan | MB3.2 | Equivalence of Synthesis and Atomic Formulations of Sparse Recovery | |
MB3.4 | Matrix ALPS: Accelerated Low Rank and Sparse Matrix Reconstruction | ||
Cha, Miriam | WA4.2 | Test Statistics for Synthetic Aperture Radar Coherent Change Detection | |
Chakraborty, Supriyo | MB2.3 | An Obfuscation Framework for Controlling Value of Information During Sharing | |
Champagne, Benoit | MB2.5 | Diffusion LMS for Source and Process Estimation in Sensor Networks | |
Chan, Shing-Chow | MA5.2 | Steering Vector Estimation and Beamforming Under Uncertainties | |
MC5.2 | A New Regularized TVAR-based Algorithm for Recursive Detection of Nonstationarity and Its Application to Speech Signals | ||
Chang, Chieh-Yao | WA3.4 | Robust Interference Channel Transmission Using Sparsity Enhanced Mismatch Model | |
Chang, Yu-Teng | MA6.6 | Of the Largest Eigenvalue for Modularity-Based Partitioning | |
Chao, Yung Hsuan | MB1.4 | Graph-Wavelet Filterbanks for Edge-Aware Image Processing | |
Chaparro, Luis | TC3.6 | Compressive Asynchronous Decomposition of Heart Sounds | |
Charles, Adam | TB3.2 | The Restricted Isometry Property for Echo State Networks with Applications to Sequence Memory Capacity | |
Chen, Chulong | TA5.1 | Bayesian Sparse Channel Estimation and Tracking | |
Chen, Jianshu | TB5.9 | Distributed Pareto-Optimal Solutions Via Diffusion Adaptation | |
Chen, Yudong | TA1.5 | Simple Algorithms for Sparse Linear Regression with Uncertain Covariates | |
Cheng, Zhiyu | WA4.4 | Waveform Scheduling Via Directed Information in Cognitive Radar | |
Chevalier, Pascal | WA3.5 | Optimal SIMO MLSE Receivers for the Detection of Linear Modulation Corrupted by Noncircular Interference | |
Chi, Yuejie | TB3.6 | Compressive Demodulation of Mutually Interfering Signals | |
Chiang, Mung | MB1.3 | Identifying Online Communities of Interest Using Side Information | |
Cho, Jang Hwan | MB5.2 | Alternating Minimization Approach for Multi-frame Image Reconstruction | |
Choi, Hun | MB4.2 | Subband Adaptive Convex Combination of Two NLMS Based Filters for Sparse Impulse Response Systems | |
Chong, Edwin | TC6.4 | Detection Performance of M-ary Relay Trees with Non-binary Message Alphabets | |
Chu, Yijing | MA5.2 | Steering Vector Estimation and Beamforming Under Uncertainties | |
MC5.2 | A New Regularized TVAR-based Algorithm for Recursive Detection of Nonstationarity and Its Application to Speech Signals | ||
Cioffi, John | TA5.8 | On the Distribution of Valid Pages with Greedy Garbage Collection for NAND Flash | |
TC6.2 | Probabilistic Graphical Model for Flash Memory Programming | ||
Clarkson, Vaughan | MB3.6 | Estimating Period From Sparse, Noisy Timing Data | |
TB5.7 | Collaborative Sensor Scheduling for Space Situational Awareness | ||
Coates, Mark | MB6.4 | Implementation of the Daum-Huang Exact-Flow Particle Filter | |
Cochran, Douglas | MC2.3 | Maximum-entropy Surrogation in Network Signal Detection | |
Cogranne, Rémi | WA6.4 | Statistical Detection of LSB Matching in the Presence of Nuisance Parameters | |
Coleman, Christopher | TB1.4 | Minimum L1 Norm SAR Image Formation | |
Comer, Mary | TC1.5 | Joint Deconvolution/Segmentation of Microscope Images of Materials | |
Connell, Scott | TB1.4 | Minimum L1 Norm SAR Image Formation | |
Cornu, Philippe | WA6.4 | Statistical Detection of LSB Matching in the Presence of Nuisance Parameters | |
Correll, Bill | TA5.6 | The Density of Costas Arrays and Three-Free Permutations | |
Cortes, Camilo | MB4.5 | Adaptive Filtering for Lightning Electric Field (LEF) Signals in Fractional Fourier Domain | |
Coyle, Edward | TA5.3 | Power Allocation for Distributed Detection in a Multiple-Ring Cluster | |
Crovella, Mark | TC4.7 | 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 | Dynamic Network Kriging | |
Dalton, Lori | TB2.4 | Optimal Classifiers Within a Bayesian Framework | |
Dang, Wenbing | WA4.6 | Coordinating Complementary Waveforms Across Time and Frequency | |
Dasgupta, Soura | MC1.5 | A Distributed Consensus Approach to Synchronization of RF Signals | |
MC1.2 | Receiver-Coordinated Zero-Forcing Distributed Transmit Nullforming | ||
Dashmiz, Shayan | MB3.2 | Equivalence of Synthesis and Atomic Formulations of Sparse Recovery | |
Datta, Aniruddha | TB2.5 | Optimal Cancer Therapy Based on a Tumor Growth Inhibition Model | |
Davis, Lara | TB2.1 | Analyzing Pathway Design From Drug Perturbation Experiments | |
De Graef, Marc | TC1.3 | Bayesian Tomographic Reconstruction for High Angle Annular Dark Field (HAADF) Scanning Transmission Electron Microscopy (STEM) | |
Delmas, Jean Pierre | WA3.5 | Optimal SIMO MLSE Receivers for the Detection of Linear Modulation Corrupted by Noncircular Interference | |
Demirkol, Ilker | MC5.4 | BaNa: A Hybrid Approach for Noise Resilient Pitch Detection | |
Deng, Mo | TC2.2 | Causal Compressive Sensing for Gene Network Inference | |
Devroye, Natasha | WA4.4 | Waveform Scheduling Via Directed Information in Cognitive Radar | |
Dimitrova, Nevenka | TC2.5 | Statistical Assessment of Gene Fusion Detection Algorithms Using RNA Sequencing Data | |
Ding, Tao | MB6.4 | Implementation of the Daum-Huang Exact-Flow Particle Filter | |
Djikpesse, Hugues | MA1.3 | A Heuristic Bayesian Design Criterion for Imaging Resolution Enhancement | |
Djurić, Petar | MB6.5 | Estimation of Posterior Distributions with Population Monte Carlo Sampling and Graphical Modeling | |
Doerschuk, Peter | TA3.5 | Describing the Structure of a Macro Molecular Complex as a Random Signal in Noise and a Maximum Likelihood Reconstruction | |
Dougherty, Edward | TB2.5 | Optimal Cancer Therapy Based on a Tumor Growth Inhibition Model | |
TB2.4 | Optimal Classifiers Within a Bayesian Framework | ||
Drepper, Friedhelm | MC5.3 | Phase Difference of Filter-stable Part-tones as Acoustic Feature | |
Drummy, Lawrence | TC1.2 | Bayesian Image Segmentation of Transmission Electron Tomography 3D Reconstructions | |
TC1.3 | Bayesian Tomographic Reconstruction for High Angle Annular Dark Field (HAADF) Scanning Transmission Electron Microscopy (STEM) | ||
Duarte, Marco | MC3.5 | Localization and Bearing Estimation Via Structured Sparsity Models | |
TC3.5 | Grouped Incoherent Measurements for Compressive Sensing | ||
Dzieciuch, Matthew | WA1.5 | 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 | |||
Elghariani, Ali | WA3.6 | Branch and Bound Algorithm for Code Spread OFDM | |
Elton, Stephen | TA5.2 | Parameter Estimation Techniques for Polynomial Phase and Phase Coded Waveforms in Multi-Channel Systems | |
Emad, Amin | TC2.2 | Causal Compressive Sensing for Gene Network Inference | |
Eriksson, Brian | TB4.4 | Hierarchical Clustering Using Randomly Selected Measurements | |
TC4.7 | Estimating Intrinsic Dimension Via Clustering | ||
Ertin, Emre | MC2.1 | Sensor Selection in Adversarial Setting | |
Evans, Brian | TC2.6 | 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 | Joint Bayesian Decomposition of a Spectroscopic Signal Sequence with RJMCMC | |
Fatemi, Mitra | MB3.2 | Equivalence of Synthesis and Atomic Formulations of Sparse Recovery | |
Fathallah-Shaykh, Hassan | TB2.3 | Inference of Genetic Regulatory Networks Using Regularized Likelihood with Covariance Estimation | |
Fern, Xiaoli | TC4.1 | Regularized Joint Density Estimation for Multi-Instance Learning | |
Ferrari, Silvia | MB2.1 | A Comparison of Information Theoretic Functions for Tracking Maneuvering Targets | |
Fessler, Jeff | MB5.2 | Alternating Minimization Approach for Multi-frame Image Reconstruction | |
Fillatre, Lionel | WA6.4 | Statistical Detection of LSB Matching in the Presence of Nuisance Parameters | |
Fisher III, John | MC2.4 | Theoretical Guarantees on Penalized Information Gathering | |
Fitzgerald, William | TA3.3 | Comparison of Gaussian Process Models for Single-Trial Event-Related Potentials | |
Fonseca, Benedito | TA6.5 | Least Favorable Distributions for the Design of Sensor Detection Systems in Non-Circular Regions of Interest | |
Foroozan, Foroohar | WA4.3 | Time Reversal MIMO Radar for Angle-Doppler Estimation | |
Frank, Andrew | TC5.2 | A Graphical Model Representation of the Track-Oriented Multiple Hypothesis Tracker | |
Fu-Mueller, Lisha | MA4.3 | Reducing the Gap Between Linear Biased Classical and Linear Bayesian Estimation | |
Fung, Carrson | WA3.4 | 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 | Minimum L1 Norm SAR Image Formation | |
Garbarino, Joseph | TB1.3 | Compressive Sensing and 3-D Radar Imaging | |
Gaveau, Marc-André | MB6.3 | Joint Bayesian Decomposition of a Spectroscopic Signal Sequence with RJMCMC | |
Gerstoft, Peter | WA1.2 | Passive Acoustic Monitoring Using Random Matrix Theory | |
Ghirmai, Tadesse | TA5.4 | Particle Filtering Based Data Detection in a Flat-Fading Relay-Based Communication System | |
Giannakis, Georgios B. | MA3.5 | Exact Recovery of Low-rank Plus Compressed Sparse Matrices | |
MA6.5 | Dynamic Network Kriging | ||
WA5.2 | Nonparametric Low-Rank Tensor Imputation | ||
Gilbert, Anna | TB1.2 | Reusable Low-Error Compressive Sampling Schemes Through Privacy | |
Glaz, Joseph | TC5.5 | MIMO Radar Detection with Heterogeneous Propagation Losses | |
Glentis, George-Othon | MB3.1 | Efficient Block and Time-Recursive Estimation of Sparse Volterra Systems | |
Goeckel, Dennis | TC3.5 | Grouped Incoherent Measurements for Compressive Sensing | |
Goyal, Vivek | MB5.1 | Accelerated Parallel Magnetic Resonance Imaging Reconstruction Using Joint Estimation with a Sparse Signal Model | |
Grady, Leo | MB5.1 | Accelerated Parallel Magnetic Resonance Imaging Reconstruction Using Joint Estimation with a Sparse Signal Model | |
Grossi, Emanuele | TC5.4 | A Track-Before-Detect Procedure for Sparse Data | |
Gubner, John | TA6.5 | Least Favorable Distributions for the Design of Sensor Detection Systems in Non-Circular Regions of Interest | |
TA6.1 | Resolving a Variable Number of Hypotheses with Multiple Sensors | ||
Gudmundson, Erik | MA4.7 | An ESPRIT-Based Parameter Estimator for Spectroscopic Data | |
Guntupalli, Swaroop | MB5.3 | Regularized Hyperalignment of Multi-set fMRI Data | |
Gustafsson, Fredrik | MB4.1 | 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 | Maneuvering Target Tracking Based on SDE Driven by GARCH Volatility | |
Hamilton, Benjamin | TA6.2 | Radio Frequency Tomography in Mobile Networks | |
Harmany, Zachary | MB5.5 | The Value of Multispectral Observations in Photon-Limited Quantitative Tissue Analysis | |
Harris, Lyndsay | TC2.5 | Statistical Assessment of Gene Fusion Detection Algorithms Using RNA Sequencing Data | |
Haupt, Jarvis | TA1.2 | Sequentially Designed Compressed Sensing | |
Hawes, Chad | TC4.3 | A Bootstrap Interval Estimator for Bayes' Classification Error | |
Haxby, James | MB5.3 | Regularized Hyperalignment of Multi-set fMRI Data | |
Hegde, Chinmay | TC3.4 | Near-Isometric Linear Embeddings of Manifolds | |
Heinzelman, Wendi | MC5.4 | BaNa: A Hybrid Approach for Noise Resilient Pitch Detection | |
Hellbourg, Gregory | MA5.4 | Oblique Projection Beamforming for RFI Mitigation in Radio Astronomy | |
Hemenway, Brett | TB1.2 | Reusable Low-Error Compressive Sampling Schemes Through Privacy | |
Hero III, Alfred | MB2.2 | Multistage Adaptive Estimation of Sparse Signals | |
WA5.4 | Kronecker Graphical Lasso | ||
Herrmann, Felix | MA1.7 | Approximate Message Passing Meets Exploration Seismology | |
Hobson, Tyler | TB5.7 | Collaborative Sensor Scheduling for Space Situational Awareness | |
Hodgkiss, William | WA1.2 | Passive Acoustic Monitoring Using Random Matrix Theory | |
Hoffmann, Lukas | TA3.2 | A Wavelet Clustering Technique for the Identification of Functionally Connected Regions in the Rat Brain Using Resting State fMRI | |
Honeine, Paul | TB4.2 | One-class Machines Based on the Coherence Criterion | |
TB4.3 | Dictionary Adaptation for Online Prediction of Time Series Data with Kernels | ||
Howard, Stephen | MA5.6 | Fast Tests for the Common Causality of Time-Of-Arrival Events From Their Mutual Minkowski Distances | |
Howard, Stephen | MC2.3 | Maximum-entropy Surrogation in Network Signal Detection | |
TA5.2 | Parameter Estimation Techniques for Polynomial Phase and Phase Coded Waveforms in Multi-Channel Systems | ||
Howard, Stephen | TC6.4 | Detection Performance of M-ary Relay Trees with Non-binary Message Alphabets | |
WA4.6 | Coordinating Complementary Waveforms Across Time and Frequency | ||
Hsieh, Sung-Hsien | MB3.5 | Fast OMP: Reformulating OMP Via Iteratively Refining L2-Norm Solutions | |
Huang, Jiaji | TB4.8 | Multiscale Online Tracking of Manifolds | |
Huang, Yufei | TA3.7 | Classification of EEG Recordings Without Perfectly Time-Locked Events | |
TB6.5 | Exploiting Correlated Discriminant Features in Time Frequency and Space for Characterization and Robust Classification of Image RSVP Events with EEG Data | ||
TC2.3 | Basis-Expansion Factor Models for Uncovering Transcription Factor Regulatory Network | ||
Huemer, Mario | MA4.3 | Reducing the Gap Between Linear Biased Classical and Linear Bayesian Estimation | |
Huie, Lauren | MC6.3 | 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 | Extended UFIR Filtering of Nonlinear Models Corrupted by White Gaussian Noise | |
MC4.3 | Studies of Optimal Memory for Discrete-Time FIR Filters in State-Space | ||
Ibrahimi, Morteza | TA3.4 | Accelerated Time-of-Flight Mass Spectrometry | |
Ihler, Alexander | TC5.2 | A Graphical Model Representation of the Track-Oriented Multiple Hypothesis Tracker | |
Iqbal, Kamran | TA3.1 | Muscle Activity Detection From Myoelectric Signals Based on the AR-GARCH Model | |
Ishwar, Prakash | TA1.3 | 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 | Bayesian Tomographic Reconstruction for High Angle Annular Dark Field (HAADF) Scanning Transmission Electron Microscopy (STEM) | |
Jackson, Philip | TB6.4 | Reverberant Speech Separation Based on Audio-visual Dictionary Learning and Binaural Cues | |
Jaffard, Stephane | MA4.4 | Multifractal Analysis of Self-Similar Processes | |
Jain, Anil | TC4.4 | Learning Kernel Combination From Noisy Pairwise Constraints | |
Jakobsson, Andreas | MA4.7 | An ESPRIT-Based Parameter Estimator for Spectroscopic Data | |
MB3.1 | Efficient Block and Time-Recursive Estimation of Sparse Volterra Systems | ||
Jakubowicz, Jérémie | MC2.5 | On-Line Gossip-Based Distributed Expectation Maximization Algorithm | |
Jalali, Ali | TA1.6 | Greedy Dirty Models: A New Algorithm for Multiple Sparse Regression | |
Jaldén, Joakim | MA3.1 | Maximum Likelihood Based Sparse and Distributed Conjoint Analysis | |
Janevski, Angel | TC2.5 | Statistical Assessment of Gene Fusion Detection Algorithms Using RNA Sequencing Data | |
Jansson, Magnus | MA4.7 | An ESPRIT-Based Parameter Estimator for Spectroscopic Data | |
MA5.1 | Robust Prior-based Direction of Arrival Estimation | ||
Jiang, Xin | MB5.5 | The Value of Multispectral Observations in Photon-Limited Quantitative Tissue Analysis | |
Jin, Curtis | MA5.5 | An Iterative, Backscatter-Analysis Based Algorithm for Increasing Transmission Through a Highly-Backscattering Random Medium | |
Jin, Rong | TC4.4 | Learning Kernel Combination From Noisy Pairwise Constraints | |
Johansen, Adam | MB6.1 | 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 | Theoretical Discussion of the Filtered-X LMS Algorithm Based on Statistical Mechanical Analysis | |
Kamalabadi, Farzad | TA4.7 | Analytical Precision Limits in Slitless Spectroscopy | |
Kamalakaran, Sitharthan | TC2.5 | Statistical Assessment of Gene Fusion Detection Algorithms Using RNA Sequencing Data | |
Kang, Jaewook | MA3.4 | Bayesian Hypothesis Test for Sparse Support Recovery Using Belief Propagation | |
Kaplan, Lance | MB2.3 | An Obfuscation Framework for Controlling Value of Information During Sharing | |
Karl, William | TA1.3 | Sensing Aware Dimensionality Reduction for Nearest Neighbor Classification of High Dimensional Signals | |
TC1.4 | Discrete Image Reconstruction for Material Quantification | ||
Kaslovsky, Daniel | WA5.6 | Overcoming Noise, Avoiding Curvature: Optimal Scale Selection for Tangent Plane Recovery | |
Kastella, Keith | MC1.4 | Frequency Estimation in the Presence of Cycle Slips: Filter Banks and Error Bounds for Phase Unwrapping | |
MC1.1 | Reference-Aided Distributed Transmit Beamforming with Mobile Radios | ||
Kawaguchi, Yohei | MC5.1 | Speech Enhancement Combined with Dereverberation and Acoustic Echo Reduction for Time Varying Systems | |
Keilholz, Shella | TA3.2 | A Wavelet Clustering Technique for the Identification of Functionally Connected Regions in the Rat Brain Using Resting State fMRI | |
Keller, Charles | TB2.1 | Analyzing Pathway Design From Drug Perturbation Experiments | |
Khardon, Roni | MA1.5 | A Mixture of Experts Based Discretization Approach for Characterizing Subsurface Contaminant Source Zones | |
Khodja, Mohamed | MA1.3 | A Heuristic Bayesian Design Criterion for Imaging Resolution Enhancement | |
Kim, Dae Woo | TC1.5 | Joint Deconvolution/Segmentation of Microscope Images of Materials | |
Kim, Jongmin | TB3.1 | Compressive Subspace Fitting for Multiple Measurement Vectors | |
Kim, Kiseon | MA3.4 | Bayesian Hypothesis Test for Sparse Support Recovery Using Belief Propagation | |
Kmelnitsky, Vitaly | WA1.4 | Mean Squared Error Performance of Adaptive Matched Field Localization Under Environmental Uncertainty | |
Kong, Bailey | TB4.1 | Efficient Batch-Mode Active Learning of Random Forest | |
Kotula, Paul | TC1.1 | Application of FIB/SEM/EDXS Tomographic Spectral Imaging and Multivariate Statistical Analysis to the Analysis of Localized Corrosion | |
Kreimer, Nadia | MA1.8 | Reconstruction of Seismic Data Via Tensor Completion | |
Kreucher, Chris | TB1.1 | Multistatic RADAR Change Detection Using Sparse Imaging Methods | |
Kwak, Byung-Jae | TA5.7 | Random Jitter Beamforming for Point-and-Link Communications | |
Kyrillidis, Anastasios | MB3.4 | 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 | Quantized Network Coding for Sparse Messages | |
Laitrakun, Seksan | TA5.3 | Power Allocation for Distributed Detection in a Multiple-Ring Cluster | |
Lanterman, Aaron | TC3.2 | Compressive LADAR in Realistic Environments | |
Larue, Anthony | MA3.2 | Preprocessing for Classification of Sparse Data: Application to Trajectory Recognition | |
Larzabal, Pascal | TC5.6 | Theoretical Multidimensional Resolution Limit for MIMO Radar Based on the Chernoff Distance | |
Le Bihan, Nicolas | MA4.2 | Wiener Filtering of Rotation Processes Using Ordered Exponential | |
Leberknight, Christopher | MB1.3 | Identifying Online Communities of Interest Using Side Information | |
Lee, Heung-No | MA3.4 | Bayesian Hypothesis Test for Sparse Support Recovery Using Belief Propagation | |
Lee, Jeongkyu | MB4.2 | Subband Adaptive Convex Combination of Two NLMS Based Filters for Sparse Impulse Response Systems | |
Lee, KyeongPyo | MB4.2 | Subband Adaptive Convex Combination of Two NLMS Based Filters for Sparse Impulse Response Systems | |
Lee, Nigel | WA1.4 | Mean Squared Error Performance of Adaptive Matched Field Localization Under Environmental Uncertainty | |
Lee, Okkyun | TB3.1 | Compressive Subspace Fitting for Multiple Measurement Vectors | |
Lengellé, Regis | TB4.3 | Dictionary Adaptation for Online Prediction of Time Series Data with Kernels | |
Lev-Ari, Hanoch | MC4.6 | Lag-Recursive Estimation of the Average Autocorrelation of an Arbitrarily Time-Variant System Response | |
TB5.1 | Multi-sensor Networked State Estimation with Delayed and Irregularly-spaced Observations | ||
Li, Jiangyuan | MC6.4 | Outage Constrained Secrecy Rate Maximization Using Cooperative Jamming | |
Li, Yili | WA6.1 | Signal Classification by Power Spectral Density: An Approach Via Riemannian Geometry | |
Liao, Bin | MA5.2 | Steering Vector Estimation and Beamforming Under Uncertainties | |
Ling, Qing | MC3.2 | Sparse FIR Estimation of Low-Order Systems | |
Liu, Chih-Hao | TA5.5 | MIMO Broadcast DFE Transceiver Design with Bit Allocation Under QoS Constraints | |
Liu, Qingju | TB6.4 | Reverberant Speech Separation Based on Audio-visual Dictionary Learning and Binaural Cues | |
Liu, Sijia | TA6.3 | Temporally Staggered Sensing for Field Estimation with Quantized Data in Wireless Sensor Networks | |
Liu, Ying | MA4.6 | The Relationship Between Transfer Entropy and Directed Information | |
Liu, Yupeng | MC6.2 | Relay Selection and Scaling Law in Destination Assisted Physical Layer Secrecy Systems | |
López-Valcarce, Roberto | WA6.5 | Detection of Gaussian Signals in Unknown Time-Varying Channels | |
Lops, Marco | TC5.4 | A Track-Before-Detect Procedure for Sparse Data | |
Lorbert, Alexander | MB5.3 | Regularized Hyperalignment of Multi-set fMRI Data | |
Lu, Chun-Shien | MB3.5 | Fast OMP: Reformulating OMP Via Iteratively Refining L2-Norm Solutions | |
Lu, Wenjie | MB2.1 | A Comparison of Information Theoretic Functions for Tracking Maneuvering Targets | |
Luna, Isabel Tienda | TC2.3 | Basis-Expansion Factor Models for Uncovering Transcription Factor Regulatory Network | |
Lunglmayr, Michael | MA4.3 | Reducing the Gap Between Linear Biased Classical and Linear Bayesian Estimation | |
Luo, Shuangyu | MC6.4 | 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 | Radio Frequency Tomography in Mobile Networks | |
Ma, Zhanyu | TA3.6 | EEG Signal Classification with Super-Dirichlet Mixture Model | |
Madhow, Upamanyu | MC1.2 | Receiver-Coordinated Zero-Forcing Distributed Transmit Nullforming | |
MC1.3 | Initial Over-the-Air Performance Assessment of Ranging and Clock Synchronization Using Radio Frequency Signal Exchange | ||
Magnuson, Matthew | TA3.2 | A Wavelet Clustering Technique for the Identification of Functionally Connected Regions in the Rat Brain Using Resting State fMRI | |
Maleki, Nahal | TB5.8 | Channel-aware M-ary Distributed Detection: Optimal and Suboptimal Fusion Rules | |
Malik, Hafiz | MC5.5 | Audio Forensics Using Acoustic Environment Traces | |
Manohar, Shamaiah | TC2.1 | Base Calling Error Rates in Next-Generation DNA Sequencing | |
Mansour, Hassan | MC3.6 | Beyond L1-Norm Minimization for Sparse Signal Recovery | |
Manton, Jonathan | MA4.2 | Wiener Filtering of Rotation Processes Using Ordered Exponential | |
Marcos, Sylvie | TC5.6 | Theoretical Multidimensional Resolution Limit for MIMO Radar Based on the Chernoff Distance | |
Mardani, Morteza | MA3.5 | Exact Recovery of Low-rank Plus Compressed Sparse Matrices | |
Margetts, Adam | MC1.6 | Loss Characterization of Distributed Space-Time Transmit Beamforming with Embedded Channel Probing | |
Martin, Richard | MB5.6 | Nonparametric Methods for Full-Waveform Ladar Images | |
TA6.6 | How Valid is the Regularly-Spaced Grid Assumption in RSS Source Localization Sensor Networks? | ||
Masazade, Engin | TA6.3 | Temporally Staggered Sensing for Field Estimation with Quantized Data in Wireless Sensor Networks | |
Masson, Antoine | MB6.3 | Joint Bayesian Decomposition of a Spectroscopic Signal Sequence with RJMCMC | |
Matechik, Stephen | TA6.2 | Radio Frequency Tomography in Mobile Networks | |
Mateos, Gonzalo | MA3.5 | Exact Recovery of Low-rank Plus Compressed Sparse Matrices | |
WA5.2 | Nonparametric Low-Rank Tensor Imputation | ||
Mayoue, Aurélien | MA3.2 | Preprocessing for Classification of Sparse Data: Application to Trajectory Recognition | |
Mazet, Vincent | MB6.3 | Joint Bayesian Decomposition of a Spectroscopic Signal Sequence with RJMCMC | |
McKilliam, Robby | MB3.6 | Estimating Period From Sparse, Noisy Timing Data | |
McLaughlin, Steve | TB6.3 | Multicomponent Signal Denoising with Synchrosqueezing | |
Medda, Alessio | TA3.2 | A Wavelet Clustering Technique for the Identification of Functionally Connected Regions in the Rat Brain Using Resting State fMRI | |
Meignen, Sylvain | TB6.3 | Multicomponent Signal Denoising with Synchrosqueezing | |
Mendoza-Sanchez, Itza | MA1.5 | A Mixture of Experts Based Discretization Approach for Characterizing Subsurface Contaminant Source Zones | |
Meng, Jia | TA3.7 | Classification of EEG Recordings Without Perfectly Time-Locked Events | |
TB6.5 | Exploiting Correlated Discriminant Features in Time Frequency and Space for Characterization and Robust Classification of Image RSVP Events with EEG Data | ||
TC2.3 | Basis-Expansion Factor Models for Uncovering Transcription Factor Regulatory Network | ||
Menon, Ravi | WA1.2 | Passive Acoustic Monitoring Using Random Matrix Theory | |
Meola, Joseph | MA1.2 | Incorporating Spatial Structure Into Hyperspectral Scene Analysis | |
Meriño, Lenis | TA3.7 | Classification of EEG Recordings Without Perfectly Time-Locked Events | |
TB6.5 | 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 | Joint Bayesian Decomposition of a Spectroscopic Signal Sequence with RJMCMC | |
Mestre, Maria Rosario | TA3.3 | Comparison of Gaussian Process Models for Single-Trial Event-Related Potentials | |
Meyer, Francois | WA5.6 | Overcoming Noise, Avoiding Curvature: Optimal Scale Selection for Tangent Plane Recovery | |
Michel, Olivier | MA6.1 | Causal Conditioning and Instantaneous Coupling in Causality Graphs | |
Michielssen, Eric | MA5.5 | An Iterative, Backscatter-Analysis Based Algorithm for Increasing Transmission Through a Highly-Backscattering Random Medium | |
Milenkovic, Olgica | TC2.2 | Causal Compressive Sensing for Gene Network Inference | |
Miller, Benjamin | MA6.3 | Toward Matched Filter Optimization for Subgraph Detection in Dynamic Networks | |
Miller, Eric | MA1.5 | A Mixture of Experts Based Discretization Approach for Characterizing Subsurface Contaminant Source Zones | |
Miyoshi, Seiji | MC4.1 | Theoretical Discussion of the Filtered-X LMS Algorithm Based on Statistical Mechanical Analysis | |
Mohammadi, Arash | MB6.2 | Distributed State Estimation for Large-scale Nonlinear Systems: A Reduced Order Particle Filter Implementation | |
TA6.7 | Full Order Distributed Particle Filters for Intermittent Connections: Feedback From Fusion Filters to Local Filters Improves Performance | ||
Montanari, Andrea | TA3.4 | Accelerated Time-of-Flight Mass Spectrometry | |
Moore, George | TA3.4 | Accelerated Time-of-Flight Mass Spectrometry | |
Moore, Terrence | MC2.2 | The Value of Information in Constrained Parametric Models | |
Moran, Bill | MC2.3 | Maximum-entropy Surrogation in Network Signal Detection | |
TC6.4 | Detection Performance of M-ary Relay Trees with Non-binary Message Alphabets | ||
WA4.6 | Coordinating Complementary Waveforms Across Time and Frequency | ||
Morral, Gemma | MC2.5 | On-Line Gossip-Based Distributed Expectation Maximization Algorithm | |
Mossberg, Magnus | TA4.3 | A Statistical Inference Method for a Subset of Long-range Dependent FARIMA Processes | |
Motamedvaziri, Delaram | TB4.7 | A Combined Approach to Multi-label Multi-task Learning | |
Moulin, Pierre | TC4.6 | Real Adaboost for Content Identification | |
Mudumbai, Raghuraman | MC1.5 | A Distributed Consensus Approach to Synchronization of RF Signals | |
MC1.4 | Frequency Estimation in the Presence of Cycle Slips: Filter Banks and Error Bounds for Phase Unwrapping | ||
MC1.3 | Initial Over-the-Air Performance Assessment of Ranging and Clock Synchronization Using Radio Frequency Signal Exchange | ||
Mutlu, Ali | MA6.4 | Dynamic Network Summarization Using Convex Optimization | |
WA5.5 | 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 | Quantized Network Coding for Sparse Messages | |
Nadakuditi, Raj Rao | MA5.5 | An Iterative, Backscatter-Analysis Based Algorithm for Increasing Transmission Through a Highly-Backscattering Random Medium | |
MB1.1 | On Hard Limits of Eigen-Analysis Based Planted Clique Detection | ||
TA1.1 | The Performance of Deterministic Matched Subspace Detectors When Using Subspaces Estimated From Noisy, Missing Data | ||
WA1.1 | The Performance of MUSIC-based DOA in White Noise with Missing Data | ||
Naini, Rohit | TC4.6 | Real Adaboost for Content Identification | |
Nájar, Montse | WA5.1 | Optimal Linear Correction in LMMSE Estimation Using Moments of the Complex Inverse Wishart Distribution | |
Nallampatti Ekambaram, Venkatesan | MC3.1 | Non-Line-of-Sight Localization Using Low-rank + Sparse Matrix Decomposition | |
Narang, Sunil | MB1.4 | Graph-Wavelet Filterbanks for Edge-Aware Image Processing | |
Nascimento, Vitor | TA6.8 | Continuous-time Distributed Estimation with Asymmetric Mixing | |
Nassar, Marcel | TC2.6 | Adaptive Experimental Design for Drug Combinations | |
Negahban, Sahand | TA1.4 | Fast Global Convergence of Gradient Methods for Solving Regularized M-estimation | |
Nelson, Jill | MB2.6 | A Gossip-based Distributed Processing Algorithm for Multiple Transmitter Localization | |
Nguyen, Hieu | TB4.1 | Efficient Batch-Mode Active Learning of Random Forest | |
Nikiforov, Igor | WA6.4 | Statistical Detection of LSB Matching in the Presence of Nuisance Parameters | |
Niu, Ruixin | MA4.1 | Sequential Bayesian Estimation with Censored Data | |
MC6.3 | System State Estimation in the Presence of False Information Injection | ||
Noumir, Zineb | TB4.2 | One-class Machines Based on the Coherence Criterion | |
Nowak, Rob | TB4.6 | k-Subspaces with Missing Data | |
Nowak, Robert | TA1.2 | 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 | Multicomponent Signal Denoising with Synchrosqueezing | |
Oktem, Figen | TA4.7 | Analytical Precision Limits in Slitless Spectroscopy | |
Onis, Sébastien | MA3.2 | Preprocessing for Classification of Sparse Data: Application to Trajectory Recognition | |
Ortega, Antonio | MB1.4 | Graph-Wavelet Filterbanks for Edge-Aware Image Processing | |
Ottersten, Björn | MA3.1 | 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 | Improved Variational Inference for Tracking in Clutter | |
Pajovic, Milutin | WA1.3 | Analytical Characterization of the MPDR-based Power Estimators in Snapshot Scarce Regime | |
Pal, Piya | MA3.6 | Correlation-Aware Techniques for Sparse Support Recovery | |
Pal, Ranadip | TB2.1 | Analyzing Pathway Design From Drug Perturbation Experiments | |
Palguna, Deepan | WA5.7 | Non-Parametric Prediction of the Mid-Price Dynamics in a Limit Order Book | |
Pantazis, Dimitrios | MA6.6 | Of the Largest Eigenvalue for Modularity-Based Partitioning | |
Papachristoudis, Georgios | MC2.4 | Theoretical Guarantees on Penalized Information Gathering | |
Park, Mijung | TC2.6 | Adaptive Experimental Design for Drug Combinations | |
Pei, Soo-Chang | MB3.5 | Fast OMP: Reformulating OMP Via Iteratively Refining L2-Norm Solutions | |
Peleato, Borja | TA5.8 | On the Distribution of Valid Pages with Greedy Garbage Collection for NAND Flash | |
TC6.2 | Probabilistic Graphical Model for Flash Memory Programming | ||
Peng, Lang | MC4.6 | Lag-Recursive Estimation of the Average Autocorrelation of an Arbitrarily Time-Variant System Response | |
Petropulu, Athina | MC6.4 | Outage Constrained Secrecy Rate Maximization Using Cooperative Jamming | |
MC6.2 | Relay Selection and Scaling Law in Destination Assisted Physical Layer Secrecy Systems | ||
Pezeshki, Ali | TC6.4 | Detection Performance of M-ary Relay Trees with Non-binary Message Alphabets | |
WA4.6 | Coordinating Complementary Waveforms Across Time and Frequency | ||
Phillips, Rhonda | WA4.2 | Test Statistics for Synthetic Aperture Radar Coherent Change Detection | |
Piotto, Nicola | MB4.6 | Boosting Quantization for Lp Norm Distortion Measure | |
Pipiras, Vladas | TC6.5 | Estimation of Flow Distributions Tails From Sampled Traffic | |
Plattner, Alain | MA1.1 | Analysis of Real Vector Fields on the Sphere Using Slepian Functions | |
Poisson, Lionel | MB6.3 | Joint Bayesian Decomposition of a Spectroscopic Signal Sequence with RJMCMC | |
Polak, Adam | TC3.5 | Grouped Incoherent Measurements for Compressive Sensing | |
Polimeni, Jonathan | MB5.1 | Accelerated Parallel Magnetic Resonance Imaging Reconstruction Using Joint Estimation with a Sparse Signal Model | |
Pollak, Ilya | WA5.7 | Non-Parametric Prediction of the Mid-Price Dynamics in a Limit Order Book | |
Poor, H. Vincent | MB1.3 | Identifying Online Communities of Interest Using Side Information | |
Prange, Michael | MA1.3 | A Heuristic Bayesian Design Criterion for Imaging Resolution Enhancement | |
Prasad, Swati | TA3.6 | EEG Signal Classification with Super-Dirichlet Mixture Model | |
Preisig, James | WA1.3 | Analytical Characterization of the MPDR-based Power Estimators in Snapshot Scarce Regime | |
Priebe, Carey | TC4.3 | A Bootstrap Interval Estimator for Bayes' Classification Error | |
Pruessing, Scott | MC1.3 | 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 | New Statistic in P-value Estimation for Anomaly Detection | |
Quinn, Barry | MB3.6 | 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 | Bounded Confidence Opinion Dynamics with Network Constraints and Localized Distributed Averaging | |
Radha, Hayder | MA6.2 | Graph Entropy Rate Minimization and the Compressibility of Undirected Binary Graphs | |
MB1.5 | Transitivity Matrix of Social Network Graphs | ||
Raeman, David | MC1.3 | Initial Over-the-Air Performance Assessment of Ranging and Clock Synchronization Using Radio Frequency Signal Exchange | |
Raghavan, Kasturi Rangan | MB2.3 | An Obfuscation Framework for Controlling Value of Information During Sharing | |
Rahardja, Susanto | MB4.4 | LMS in Prominent System Subspace for Fast System Identification | |
Rahman, Muhammad Mahboob Ur | MC1.5 | A Distributed Consensus Approach to Synchronization of RF Signals | |
Raich, Raviv | TC4.1 | Regularized Joint Density Estimation for Multi-Instance Learning | |
Raj, Raghu | TC4.2 | An Asymptotically Convex Approach to Discriminative Coding | |
Rajawat, Ketan | MA6.5 | Dynamic Network Kriging | |
Ramadge, Peter | MB5.3 | Regularized Hyperalignment of Multi-set fMRI Data | |
Ramani, Sathish | MB5.2 | Alternating Minimization Approach for Multi-frame Image Reconstruction | |
Ramchandran, Kannan | MC3.1 | Non-Line-of-Sight Localization Using Low-rank + Sparse Matrix Decomposition | |
Ramirez-Echeverria, Felipe | MC4.2 | Extended UFIR Filtering of Nonlinear Models Corrupted by White Gaussian Noise | |
MC4.3 | Studies of Optimal Memory for Discrete-Time FIR Filters in State-Space | ||
Rand, Steve | MA5.5 | An Iterative, Backscatter-Analysis Based Algorithm for Increasing Transmission Through a Highly-Backscattering Random Medium | |
Rangan, Sundeep | MC3.3 | A Generalized Framework for Learning and Recovery of Structured Sparse Signals | |
Rasool, Ghulam | TA3.1 | Muscle Activity Detection From Myoelectric Signals Based on the AR-GARCH Model | |
TB2.3 | Inference of Genetic Regulatory Networks Using Regularized Likelihood with Covariance Estimation | ||
Recht, Benjamin | TB4.6 | k-Subspaces with Missing Data | |
Renaux, Alexandre | TC5.6 | Theoretical Multidimensional Resolution Limit for MIMO Radar Based on the Chernoff Distance | |
Retraint, Florent | WA6.4 | Statistical Detection of LSB Matching in the Presence of Nuisance Parameters | |
Rezaei Yousefi, Mohammadmahdi | TB2.5 | Optimal Cancer Therapy Based on a Tumor Growth Inhibition Model | |
Ricaud, Benjamin | MB1.2 | A Windowed Graph Fourier Transform | |
Richard, Cédric | TB4.3 | Dictionary Adaptation for Online Prediction of Time Series Data with Kernels | |
TB4.2 | One-class Machines Based on the Coherence Criterion | ||
Richard M., Leahy | MA6.6 | Of the Largest Eigenvalue for Modularity-Based Partitioning | |
Richmond, Christ | WA1.4 | Mean Squared Error Performance of Adaptive Matched Field Localization Under Environmental Uncertainty | |
Robbins, Kay A. | TA3.7 | Classification of EEG Recordings Without Perfectly Time-Locked Events | |
TB6.5 | Exploiting Correlated Discriminant Features in Time Frequency and Space for Characterization and Robust Classification of Image RSVP Events with EEG Data | ||
Rojas-Cubides, Herbert | MB4.5 | Adaptive Filtering for Lightning Electric Field (LEF) Signals in Fractional Fourier Domain | |
Romberg, Justin | TC3.2 | Compressive LADAR in Realistic Environments | |
Romero, Daniel | WA6.5 | Detection of Gaussian Signals in Unknown Time-Varying Channels | |
Rongshan, Yu | MB4.4 | LMS in Prominent System Subspace for Fast System Identification | |
Rose, Kenneth | TA4.4 | Linearity Conditions for Optimal Estimation From Multiple Noisy Measurements | |
Rozell, Christopher | TB3.2 | The Restricted Isometry Property for Echo State Networks with Applications to Sequence Memory Capacity | |
TC3.2 | Compressive LADAR in Realistic Environments | ||
Rupp, Markus | TB5.2 | 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 | Reconstruction of Seismic Data Via Tensor Completion | |
Sadler, Brian | MC2.2 | The Value of Information in Constrained Parametric Models | |
Saidé, Chafic | TB4.3 | Dictionary Adaptation for Online Prediction of Time Series Data with Kernels | |
Sajjadieh, Mohammad | MA5.3 | Uniform Rectangular Time Reversal Arrays: Joint Azimuth and Elevation Estimation | |
Sale, Darryl | TC3.2 | Compressive LADAR in Realistic Environments | |
Saligrama, Venkatesh | MC3.4 | Sample Complexity of Salient Feature Identification for Sparse Signal Processing | |
MC6.5 | New Statistic in P-value Estimation for Anomaly Detection | ||
TA1.3 | Sensing Aware Dimensionality Reduction for Nearest Neighbor Classification of High Dimensional Signals | ||
TB4.7 | A Combined Approach to Multi-label Multi-task Learning | ||
WA6.6 | Two Stage Decision System | ||
Sallem, Soumaya | WA3.5 | Optimal SIMO MLSE Receivers for the Detection of Linear Modulation Corrupted by Noncircular Interference | |
Salmon, Joseph | TA4.6 | A Two-Stage Denoising Filter: The Preprocessed Yaroslavsky Filter | |
Sanchez-Castillo, Manuel | TC2.3 | Basis-Expansion Factor Models for Uncovering Transcription Factor Regulatory Network | |
Sanghavi, Sujay | TA1.6 | Greedy Dirty Models: A New Algorithm for Multiple Sparse Regression | |
Sankaranarayanan, Aswin | TC3.4 | Near-Isometric Linear Embeddings of Manifolds | |
Santamaria, Ignacio | WA6.5 | Detection of Gaussian Signals in Unknown Time-Varying Channels | |
Sarr, Amadou | MC4.3 | Studies of Optimal Memory for Discrete-Time FIR Filters in State-Space | |
Sayed, Ali | MB2.5 | Diffusion LMS for Source and Process Estimation in Sensor Networks | |
MC2.7 | Diffusion Networks Outperform Consensus Networks | ||
TA6.8 | Continuous-time Distributed Estimation with Asymmetric Mixing | ||
TB5.9 | Distributed Pareto-Optimal Solutions Via Diffusion Adaptation | ||
Scharf, Louis | TA6.1 | Resolving a Variable Number of Hypotheses with Multiple Sensors | |
Scherber, Dzulkifli | MC1.3 | Initial Over-the-Air Performance Assessment of Ranging and Clock Synchronization Using Radio Frequency Signal Exchange | |
Schizas, Ioannis | MA3.3 | Distributed Informative Sensor Determination Via Sparsity-Cognizant Matrix Decomposition | |
Schlüter, Ralf | MC5.3 | Phase Difference of Filter-stable Part-tones as Acoustic Feature | |
Schmitt, Harry | MC2.3 | Maximum-entropy Surrogation in Network Signal Detection | |
Schniter, Philip | MC3.3 | A Generalized Framework for Learning and Recovery of Structured Sparse Signals | |
Schonfeld, Dan | MB4.6 | Boosting Quantization for Lp Norm Distortion Measure | |
TB2.3 | Inference of Genetic Regulatory Networks Using Regularized Likelihood with Covariance Estimation | ||
TC6.1 | Mapping Equivalence Under Iterative Dynamics for Symbolic Sequences | ||
Sebald, Daniel | WA3.7 | Fast Adaptive Decision-Selection Equalizer Convergence Using a Tree-Structured Algorithm | |
Seghouane, Abd-krim | MB5.4 | fMRI Activation Detection Using a Variant of Akaike Information Criterion | |
Sejdić, Ervin | TC3.6 | Compressive Asynchronous Decomposition of Heart Sounds | |
Serra, Jordi | WA5.1 | Optimal Linear Correction in LMMSE Estimation Using Moments of the Complex Inverse Wishart Distribution | |
Setlur, Pawan | WA4.4 | Waveform Scheduling Via Directed Information in Cognitive Radar | |
Shafinia, Mohammad Hossein | MB3.2 | Equivalence of Synthesis and Atomic Formulations of Sparse Recovery | |
Shapo, Benjamin | TB1.1 | Multistatic RADAR Change Detection Using Sparse Imaging Methods | |
Shi, Wei | MC3.2 | Sparse FIR Estimation of Low-Order Systems | |
Shmaliy, Yuriy | MC4.2 | Extended UFIR Filtering of Nonlinear Models Corrupted by White Gaussian Noise | |
MC4.3 | Studies of Optimal Memory for Discrete-Time FIR Filters in State-Space | ||
Shuman, David | MB1.2 | A Windowed Graph Fourier Transform | |
Sidiropoulos, Nicholas | MA3.1 | Maximum Likelihood Based Sparse and Distributed Conjoint Analysis | |
Silva, Jorge | MB2.4 | Active Learning for Large-Scale Factor Analysis | |
Simmons, Jeff | TC1.3 | Bayesian Tomographic Reconstruction for High Angle Annular Dark Field (HAADF) Scanning Transmission Electron Microscopy (STEM) | |
Simons, Frederik | MA1.1 | Analysis of Real Vector Fields on the Sphere Using Slepian Functions | |
Singh, Aarti | TC3.3 | Subspace Detection of High-Dimensional Vectors Using Compressive Sampling | |
Singh, Moninder | WA6.2 | Decision Trees for Heterogeneous Dose-Response Signal Analysis | |
Sirianunpiboon, Songsri | MA5.6 | Fast Tests for the Common Causality of Time-Of-Arrival Events From Their Mutual Minkowski Distances | |
TA5.2 | Parameter Estimation Techniques for Polynomial Phase and Phase Coded Waveforms in Multi-Channel Systems | ||
Slapak, Alon | TA4.1 | Charrelation-Based Estimation of the Parameters of Non-Gaussian Autoregressive Processes | |
Slučiak, Ondrej | TB5.2 | Almost Sure Convergence of Consensus Algorithms by Relaxed Projection Mappings | |
Šmídl, Václav | MB4.1 | Bayesian Estimation of Forgetting Factor in Adaptive Filtering and Change Detection | |
Smyth, Padhraic | TC5.2 | A Graphical Model Representation of the Track-Oriented Multiple Hypothesis Tracker | |
Sohn, Sang-Wook | MB4.2 | Subband Adaptive Convex Combination of Two NLMS Based Filters for Sparse Impulse Response Systems | |
Song, Li | WA6.3 | A Selection Criterion for Piecewise Stationary Long-Memory Models | |
Song, Xiufeng | TC5.5 | MIMO Radar Detection with Heterogeneous Propagation Losses | |
Song, Ying | MB4.4 | LMS in Prominent System Subspace for Fast System Identification | |
Sorensen, Neil | TC1.1 | Application of FIB/SEM/EDXS Tomographic Spectral Imaging and Multivariate Statistical Analysis to the Analysis of Localized Corrosion | |
Srivastava, Mani | MB2.3 | An Obfuscation Framework for Controlling Value of Information During Sharing | |
Stanković, Aleksandar | TB5.1 | Multi-sensor Networked State Estimation with Delayed and Irregularly-spaced Observations | |
Stevens, Troy | MC1.1 | Reference-Aided Distributed Transmit Beamforming with Mobile Radios | |
MC1.4 | Frequency Estimation in the Presence of Cycle Slips: Filter Banks and Error Bounds for Phase Unwrapping | ||
Strauss, Martin | TB1.2 | Reusable Low-Error Compressive Sampling Schemes Through Privacy | |
Streilein, William | MC6.1 | Probabilistic Reasoning for Streaming Anomaly Detection | |
Stuff, Mark | TB1.3 | Compressive Sensing and 3-D Radar Imaging | |
Subotic, Nikola | TB1.3 | Compressive Sensing and 3-D Radar Imaging | |
Sudderth, Erik | WA4.1 | Improved Variational Inference for Tracking in Clutter | |
Sun, Zachary | TA1.3 | Sensing Aware Dimensionality Reduction for Nearest Neighbor Classification of High Dimensional Signals | |
Suryaprakash, Raj Tejas | TA1.1 | The Performance of Deterministic Matched Subspace Detectors When Using Subspaces Estimated From Noisy, Missing Data | |
WA1.1 | The Performance of MUSIC-based DOA in White Noise with Missing Data | ||
Szlam, Arthur | TB4.6 | 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 | Identifying Online Communities of Interest Using Side Information | |
Tan, Jin | TB3.4 | Optimal Estimation with Arbitrary Error Metrics in Compressed Sensing | |
Tan, Zheng-Hua | TA3.6 | EEG Signal Classification with Super-Dirichlet Mixture Model | |
Taşdemir, Çağla | MB6.5 | Estimation of Posterior Distributions with Population Monte Carlo Sampling and Graphical Modeling | |
Thelen, Brian | TB1.3 | Compressive Sensing and 3-D Radar Imaging | |
Thomson, David | TB6.2 | Some Comments on Multitaper Estimates of Autocorrelation | |
Tian, Zhi | MC3.2 | Sparse FIR Estimation of Low-Order Systems | |
TB1.5 | Compressed Sensing for MIMO RADAR: A Stochastic Perspective | ||
Togami, Masahito | MC5.1 | Speech Enhancement Combined with Dereverberation and Acoustic Echo Reduction for Time Varying Systems | |
Torkildson, Eric | MC1.6 | Loss Characterization of Distributed Space-Time Transmit Beamforming with Embedded Channel Probing | |
Tran, Duy | TC5.6 | Theoretical Multidimensional Resolution Limit for MIMO Radar Based on the Chernoff Distance | |
Trapeznikov, Kirill | WA6.6 | Two Stage Decision System | |
Tsakonas, Efthymios | MA3.1 | Maximum Likelihood Based Sparse and Distributed Conjoint Analysis | |
Tsiligkaridis, Theodoros | WA5.4 | Kronecker Graphical Lasso | |
Tsui, Kai Man | MA5.2 | Steering Vector Estimation and Beamforming Under Uncertainties | |
MC5.2 | A New Regularized TVAR-based Algorithm for Recursive Detection of Nonstationarity and Its Application to Speech Signals | ||
Tu, Sheng-Yuan | MC2.7 | Diffusion Networks Outperform Consensus Networks | |
Tuladhar, Saurav | WA1.7 | Approximate Eigenvalue Distribution of a Cylindrically Isotropic Noise Sample Covariance Matrix | |
Tüske, Zoltán | MC5.3 | Phase Difference of Filter-stable Part-tones as Acoustic Feature | |
Tuysuzoglu, Ahmet | TC1.4 | 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 | 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 | Correlation-Aware Techniques for Sparse Support Recovery | |
TA5.5 | MIMO Broadcast DFE Transceiver Design with Bit Allocation Under QoS Constraints | ||
Valero, Henri Pierre | MA1.4 | Robust Detection of Weak Acoustic Signals in Noise Using Near Optimal Shrinkage in Radon Domain | |
Van Benthem, Mark | TC1.1 | Application of FIB/SEM/EDXS Tomographic Spectral Imaging and Multivariate Statistical Analysis to the Analysis of Localized Corrosion | |
Vandergheynst, Pierre | MB1.2 | A Windowed Graph Fourier Transform | |
Varadan, Vinay | TC2.5 | Statistical Assessment of Gene Fusion Detection Algorithms Using RNA Sequencing Data | |
Varshney, Kush | WA6.2 | Decision Trees for Heterogeneous Dose-Response Signal Analysis | |
Varshney, Pramod | MA4.1 | Sequential Bayesian Estimation with Censored Data | |
TA6.3 | Temporally Staggered Sensing for Field Estimation with Quantized Data in Wireless Sensor Networks | ||
Veeravalli, Venugopal | TB5.4 | Energy-Efficient Quickest Change Detection in Sensor Networks | |
Venkatakrishnan, Singanallur | TC1.3 | Bayesian Tomographic Reconstruction for High Angle Annular Dark Field (HAADF) Scanning Transmission Electron Microscopy (STEM) | |
Venturino, Luca | TC5.4 | A Track-Before-Detect Procedure for Sparse Data | |
Vía, Javier | WA6.5 | Detection of Gaussian Signals in Unknown Time-Varying Channels | |
Vikalo, Haris | TC2.6 | Adaptive Experimental Design for Drug Combinations | |
TC2.1 | Base Calling Error Rates in Next-Generation DNA Sequencing | ||
Viswanatha, Kumar | TA4.4 | Linearity Conditions for Optimal Estimation From Multiple Noisy Measurements | |
Vosoughi, Azadeh | MC2.6 | Correlated Observations in Distributed Detection Systems | |
TB5.8 | 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 | WA1.7 | Approximate Eigenvalue Distribution of a Cylindrically Isotropic Noise Sample Covariance Matrix | |
WA1.5 | Experimental Validation of a Random Matrix Theory Model for Dominant Mode Rejection Beamformer Notch Depth | ||
WA1.6 | A Random Matrix Theory Model for the Dominant Mode Rejection Beamformer Notch Depth | ||
Wainwright, Martin | TA1.4 | Fast Global Convergence of Gradient Methods for Solving Regularized M-estimation | |
Wakin, Michael | TB3.3 | Online Search Orthogonal Matching Pursuit | |
Wald, Lawrence | MB5.1 | Accelerated Parallel Magnetic Resonance Imaging Reconstruction Using Joint Estimation with a Sparse Signal Model | |
Walter, James | TB1.4 | Minimum L1 Norm SAR Image Formation | |
Wang, Jun | WA6.2 | Decision Trees for Heterogeneous Dose-Response Signal Analysis | |
Wang, Liming | MB4.6 | Boosting Quantization for Lp Norm Distortion Measure | |
TB2.2 | A Non-parametric Bayesian Clustering for Gene Expression Data | ||
TB2.7 | Gene Deletion Data Based Genomic Regulatory Network Inference | ||
TC6.1 | Mapping Equivalence Under Iterative Dynamics for Symbolic Sequences | ||
Wang, Qiu | TA3.5 | Describing the Structure of a Macro Molecular Complex as a Random Signal in Noise and a Maximum Likelihood Reconstruction | |
Wang, Wenwu | TB6.4 | Reverberant Speech Separation Based on Audio-visual Dictionary Learning and Binaural Cues | |
Wang, Xiaodong | TB2.2 | A Non-parametric Bayesian Clustering for Gene Expression Data | |
TB2.7 | Gene Deletion Data Based Genomic Regulatory Network Inference | ||
Weber, Rodolphe | MA5.4 | Oblique Projection Beamforming for RFI Mitigation in Radio Astronomy | |
Wei, Dennis | MB2.2 | Multistage Adaptive Estimation of Sparse Signals | |
Wei, Hai | TB4.1 | Efficient Batch-Mode Active Learning of Random Forest | |
Wei, Liying | MA1.1 | Analysis of Real Vector Fields on the Sphere Using Slepian Functions | |
TB6.1 | A New Non-redundant Complex Hilbert Wavelet Transforms | ||
Weinstein, Alejandro | TB3.3 | Online Search Orthogonal Matching Pursuit | |
Weller, Daniel | MB5.1 | Accelerated Parallel Magnetic Resonance Imaging Reconstruction Using Joint Estimation with a Sparse Signal Model | |
Wendt, Herwig | MA4.4 | Multifractal Analysis of Self-Similar Processes | |
Wiesel, Ami | WA5.3 | On the Convexity in Kronecker Structured Covariance Estimation | |
Willett, Peter | TC5.5 | MIMO Radar Detection with Heterogeneous Propagation Losses | |
Willett, Rebecca | MB5.5 | The Value of Multispectral Observations in Photon-Limited Quantitative Tissue Analysis | |
TA4.6 | A Two-Stage Denoising Filter: The Preprocessed Yaroslavsky Filter | ||
TB4.8 | Multiscale Online Tracking of Manifolds | ||
Willis, Martha | TA3.2 | A Wavelet Clustering Technique for the Identification of Functionally Connected Regions in the Rat Brain Using Resting State fMRI | |
Wirfält, Petter | MA4.7 | An ESPRIT-Based Parameter Estimator for Spectroscopic Data | |
MA5.1 | Robust Prior-based Direction of Arrival Estimation | ||
Wolfe, Patrick | WA4.2 | Test Statistics for Synthetic Aperture Radar Coherent Change Detection | |
Wong, Kon Max | WA6.1 | Signal Classification by Power Spectral Density: An Approach Via Riemannian Geometry | |
Woodruff, David | TB1.2 | Reusable Low-Error Compressive Sampling Schemes Through Privacy | |
Wootters, Mary | TB1.2 | Reusable Low-Error Compressive Sampling Schemes Through Privacy | |
Worcester, Peter | WA1.5 | Experimental Validation of a Random Matrix Theory Model for Dominant Mode Rejection Beamformer Notch Depth | |
Wu, Gang | MC3.2 | 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 | Compressive Demodulation of Mutually Interfering Signals | |
TB4.8 | Multiscale Online Tracking of Manifolds | ||
Xu, Hao | MB5.3 | Regularized Hyperalignment of Multi-set fMRI Data | |
Xue, Feng | TA4.2 | 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 | Efficient Batch-Mode Active Learning of Random Forest | |
Yan, Bei | TB5.1 | Multi-sensor Networked State Estimation with Delayed and Irregularly-spaced Observations | |
Yang, Na | MC5.4 | BaNa: A Hybrid Approach for Noise Resilient Pitch Detection | |
Yang, Tianbao | TC4.4 | Learning Kernel Combination From Noisy Pairwise Constraints | |
Yap, Han Lun | TB3.2 | The Restricted Isometry Property for Echo State Networks with Applications to Sequence Memory Capacity | |
Ye, Jong Chul | TB3.1 | Compressive Subspace Fitting for Multiple Measurement Vectors | |
Yeredor, Arie | TA4.1 | Charrelation-Based Estimation of the Parameters of Non-Gaussian Autoregressive Processes | |
Yu, Zhenhua | WA3.3 | 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 | A Comparison of Information Theoretic Functions for Tracking Maneuvering Targets | |
Zhang, Zhenliang | TC6.4 | Detection Performance of M-ary Relay Trees with Non-binary Message Alphabets | |
Zhang, Zhiguo | MC5.2 | A New Regularized TVAR-based Algorithm for Recursive Detection of Nonstationarity and Its Application to Speech Signals | |
Zhao, Hong | MC5.5 | Audio Forensics Using Acoustic Environment Traces | |
Zheng, Yujiao | MA4.1 | Sequential Bayesian Estimation with Censored Data | |
Zhou, G. Tong | WA3.3 | Time-Domain Impulse Injection Method for Crest Factor Reduction of OFDM Signals | |
Zhou, Shengli | TC5.5 | MIMO Radar Detection with Heterogeneous Propagation Losses | |
Zhou, Shuheng | WA5.4 | Kronecker Graphical Lasso | |
Zhou, Yan | MB6.1 | Bayesian Model Comparison Via Path-Sampling Sequential Monte Carlo | |
Ziniel, Justin | MC3.3 | A Generalized Framework for Learning and Recovery of Structured Sparse Signals | |
Zitzmann, Cathel | WA6.4 | Statistical Detection of LSB Matching in the Presence of Nuisance Parameters | |
Zoltowski, Michael | TA5.1 | Bayesian Sparse Channel Estimation and Tracking | |
WA3.6 | Branch and Bound Algorithm for Code Spread OFDM |