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 | |
| Alghoniemy, Masoud | WA3.2 | On the Design of Fractional Frequency Reuse in Cellular Wireless Systems | |
| 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 | |
| Badawi, Ashraf | WA3.2 | On the Design of Fractional Frequency Reuse in Cellular Wireless Systems | |
| 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 | |||
| Elgebaly, Hani | WA3.2 | On the Design of Fractional Frequency Reuse in Cellular Wireless Systems | |
| 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 | |
| He, Zi-Shu | WA4.5 | Performance Comparison of Airborne Phased- Array and MIMO Radar with Subarrays | |
| 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, Jun | WA4.5 | Performance Comparison of Airborne Phased- Array and MIMO Radar with Subarrays | |
| Li, Shidong | TB3.5 | Null Space Tuning Based Algorithms for Sparse Representation and Compressed Sensing | |
| Li, Yili | WA6.1 | Signal Classification by Power Spectral Density: An Approach Via Riemannian Geometry | |
| Li, Yongzhe | WA4.5 | Performance Comparison of Airborne Phased- Array and MIMO Radar with Subarrays | |
| 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, Hongming | WA4.5 | Performance Comparison of Airborne Phased- Array and MIMO Radar with Subarrays | |
| 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, Yulong | TB3.5 | Null Space Tuning Based Algorithms for Sparse Representation and Compressed Sensing | |
| 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 | |
| Mi, Tiebin | TB3.5 | Null Space Tuning Based Algorithms for Sparse Representation and Compressed Sensing | |
| 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 | ||