Alfred O. Hero III

According to our database1, Alfred O. Hero III authored at least 478 papers between 1984 and 2020.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 1998, "For contributions to the theory and practice of statistical signal processing, particularly in estimation, detection, and imaging.".

Timeline

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Bibliography

2020
Learning to Bound the Multi-Class Bayes Error.
IEEE Trans. Signal Process., 2020

A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning: Principals, Recent Advances, and Applications.
IEEE Signal Process. Mag., 2020

Testing that a Local Optimum of the Likelihood is Globally Optimum Using Reparameterized Embeddings.
J. Math. Imaging Vis., 2020

Guest Editorial: Special Issue in Memory of Mila Nikolova.
J. Math. Imaging Vis., 2020

Approximate Weighted CR Coded Matrix Multiplication.
CoRR, 2020

OrthoReg: Robust Network Pruning Using Orthonormality Regularization.
CoRR, 2020

Second-Order Asymptotically Optimal Universal Outlying Sequence Detection with Reject Option.
CoRR, 2020

A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning.
CoRR, 2020

Straggler Robust Distributed Matrix Inverse Approximation.
CoRR, 2020

The Power of Graph Convolutional Networks to Distinguish Random Graph Models: Short Version.
CoRR, 2020

A deep learning architecture for metabolic pathway prediction.
Bioinform., 2020

Pattern-Based Analysis of Time Series: Estimation.
Proceedings of the IEEE International Symposium on Information Theory, 2020

The Power of Graph Convolutional Networks to Distinguish Random Graph Models.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Numerically Stable Binary Gradient Coding.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Resolution Limits of Non-Adaptive Querying for Noisy 20 Questions Estimation.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Weighted Gradient Coding with Leverage Score Sampling.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

The Sylvester Graphical Lasso (SyGlasso).
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Semi-Supervised Learning in Network-Structured Data via Total Variation Minimization.
IEEE Trans. Signal Process., 2019

Anomaly Detection in Partially Observed Traffic Networks.
IEEE Trans. Signal Process., 2019

Identifying Influential Links for Event Propagation on Twitter: A Network of Networks Approach.
IEEE Trans. Signal Inf. Process. over Networks, 2019

Exponential Strong Converse for Successive Refinement with Causal Decoder Side Information.
Entropy, 2019

Convergence Rates for Empirical Estimation of Binary Classification Bounds.
Entropy, 2019

Geometric Estimation of Multivariate Dependency.
Entropy, 2019

Distributed Fixed-Time Economic Dispatch under Time-Varying Topology and Uncertain Information.
CoRR, 2019

Geometric Online Adaptation: Graph-Based OSFS for Streaming Samples.
CoRR, 2019

Resolution Limits of Noisy 20 Questions Estimation.
CoRR, 2019

Learning to Benchmark: Determining Best Achievable Misclassification Error from Training Data.
CoRR, 2019

Distributed Optimization in Fixed-Time.
CoRR, 2019

Enterprise Cyber Resiliency Against Lateral Movement: A Graph Theoretic Approach.
CoRR, 2019

Feature Selection for multi-labeled variables via Dependency Maximization.
CoRR, 2019

Part-Level Convolutional Neural Networks for Pedestrian Detection Using Saliency and Boundary Box Alignment.
IEEE Access, 2019

Feature Selection for Mutlti-labeled Variables via Dependency Maximization.
Proceedings of the IEEE International Conference on Acoustics, 2019

Scalable Mutual Information Estimation Using Dependence Graphs.
Proceedings of the IEEE International Conference on Acoustics, 2019

Latent Heterogeneous Multilayer Community Detection.
Proceedings of the IEEE International Conference on Acoustics, 2019

Time-Varying Interaction Estimation Using Ensemble Methods.
Proceedings of the IEEE Data Science Workshop, 2019

Minimum Volume Topic Modeling.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Multimodal Event Detection in Twitter Hashtag Networks.
J. Signal Process. Syst., 2018

Direct Estimation of Density Functionals Using a Polynomial Basis.
IEEE Trans. Signal Process., 2018

Accelerated Distributed Dual Averaging Over Evolving Networks of Growing Connectivity.
IEEE Trans. Signal Process., 2018

Phase Transitions and a Model Order Selection Criterion for Spectral Graph Clustering.
IEEE Trans. Signal Process., 2018

Quickest Detection for Changes in Maximal kNN Coherence of Random Matrices.
IEEE Trans. Signal Process., 2018

Unequal Error Protection Querying Policies for the Noisy 20 Questions Problem.
IEEE Trans. Inf. Theory, 2018

Latent Laplacian Maximum Entropy Discrimination for Detection of High-Utility Anomalies.
IEEE Trans. Inf. Forensics Secur., 2018

Multi-Functional Sensing for Swarm Robots Using Time Sequence Classification: HoverBot, an Example.
Frontiers Robotics AI, 2018

Ensemble Estimation of Information Divergence <sup>†</sup>.
Entropy, 2018

Parity Crowdsourcing for Cooperative Labeling.
CoRR, 2018

Scalable Mutual Information Estimation using Dependence Graphs.
CoRR, 2018

Multi-Layer Relevance Networks.
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

Scalable Hash-Based Estimation of Divergence Measures.
Proceedings of the 2018 Information Theory and Applications Workshop, 2018

Fundamental Limits on Data Acquisition: Trade-offs Between Sample Complexity and Query Difficulty.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

A Dimension-Independent Discriminant Between Distributions.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Rate-Optimal Meta Learning of Classification Error.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Sequential Maximum Margin Classifiers for Partially Labeled Data.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

First-Order Bifurcation Detection for Dynamic Complex Networks.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Multi-class Bayes error estimation with a global minimal spanning tree.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

Trade-offs Between Query Difficulty and Sample Complexity in Crowdsourced Data Acquisition.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

Zeroth-Order Online Alternating Direction Method of Multipliers: Convergence Analysis and Applications.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Learning to Classify With Possible Sensor Failures.
IEEE Trans. Signal Process., 2017

Measure-Transformed Quasi-Maximum Likelihood Estimation.
IEEE Trans. Signal Process., 2017

Binary Hypothesis Testing via Measure Transformed Quasi-Likelihood Ratio Test.
IEEE Trans. Signal Process., 2017

Similarity Function Tracking Using Pairwise Comparisons.
IEEE Trans. Signal Process., 2017

Corrections to "On Decentralized Estimation With Active Queries".
IEEE Trans. Signal Process., 2017

Introduction to the Issue on Distributed Information Processing in Social Networks.
IEEE Trans. Signal Inf. Process. over Networks, 2017

Multilayer Spectral Graph Clustering via Convex Layer Aggregation: Theory and Algorithms.
IEEE Trans. Signal Inf. Process. over Networks, 2017

The Three-Terminal Interactive Lossy Source Coding Problem.
IEEE Trans. Inf. Theory, 2017

Two-Stage Sampling, Prediction and Adaptive Regression via Correlation Screening.
IEEE Trans. Inf. Theory, 2017

Bounds on Variance for Unimodal Distributions.
IEEE Trans. Inf. Theory, 2017

Robust Spectral Unmixing of Sparse Multispectral Lidar Waveforms Using Gamma Markov Random Fields.
IEEE Trans. Computational Imaging, 2017

Challenges and Open Problems in Signal Processing: Panel Discussion Summary from ICASSP 2017 [Panel and Forum].
IEEE Signal Process. Mag., 2017

HoverBots: Precise Locomotion Using Robots That Are Designed for Manufacturability.
Frontiers Robotics AI, 2017

Model Reduction in Chemical Reaction Networks: A Data-Driven Sparse-Learning Approach.
CoRR, 2017

A Data-Driven Sparse-Learning Approach to Model Reduction in Chemical Reaction Networks.
CoRR, 2017

Fast Meta-Learning for Adaptive Hierarchical Classifier Design.
CoRR, 2017

A data-driven basis for direct estimation of functionals of distributions.
CoRR, 2017

Ensemble Estimation of Distributional Functionals via $k$-Nearest Neighbors.
CoRR, 2017

Direct estimation of information divergence using nearest neighbor ratios.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Ensemble estimation of mutual information.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Part-level fully convolutional networks for pedestrian detection.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Dynamic reconstruction of influence graphs with adaptive directed information.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Information theoretic structure learning with confidence.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Distributed sensor selection for field estimation.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Distributed optimization for evolving networks of growing connectivity.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Learning sparse graphs under smoothness prior.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

AMOS: An automated model order selection algorithm for spectral graph clustering.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Semiblind subgraph reconstruction in Gaussian graphical models.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2016
Empirically Estimable Classification Bounds Based on a Nonparametric Divergence Measure.
IEEE Trans. Signal Process., 2016

Multicriteria Similarity-Based Anomaly Detection Using Pareto Depth Analysis.
IEEE Trans. Neural Networks Learn. Syst., 2016

Robust SAR STAP via Kronecker decomposition.
IEEE Trans. Aerosp. Electron. Syst., 2016

Foundational Principles for Large-Scale Inference: Illustrations Through Correlation Mining.
Proc. IEEE, 2016

A Survey of Stochastic Simulation and Optimization Methods in Signal Processing.
IEEE J. Sel. Top. Signal Process., 2016

Introduction to the Issue on Stochastic Simulation and Optimization in Signal Processing.
IEEE J. Sel. Top. Signal Process., 2016

Robust training on approximated minimal-entropy set.
CoRR, 2016

Scalable Semi-Supervised Learning over Networks using Nonsmooth Convex Optimization.
CoRR, 2016

Distance Metric Tracking.
CoRR, 2016

An individualized predictor of health and disease using paired reference and target samples.
BMC Bioinform., 2016

The Ontology of Biological and Clinical Statistics (OBCS) for standardized and reproducible statistical analysis.
J. Biomed. Semant., 2016

Spectral identification of topological domains.
Bioinform., 2016

Robust spectral unmixing of multispectral Lidar waveforms.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

Measure transformed quasi likelihood ratio test for Bayesian binary hypothesis testing.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Dynamic Directed Influence Networks: A Study of Campaigns on Twitter.
Proceedings of the Social, Cultural, and Behavioral Modeling, 9th International Conference, 2016

Scaling laws and phase transitions for target detection in MIMO radar.
Proceedings of the 2016 IEEE Information Theory Workshop, 2016

Improving convergence of divergence functional ensemble estimators.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Unequal error protection coding approaches to the noisy 20 questions problem.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Measure-transformed quasi likelihood ratio test.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

The intrinsic value of HFO features as a biomarker of epileptic activity.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Particle filtering for slice-to-volume motion correction in EPI based functional MRI.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Multi-centrality graph spectral decompositions and their application to cyber intrusion detection.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Complex input convolutional neural networks for wide angle SAR ATR.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Analysis of a privacy-preserving PCA algorithm using random matrix theory.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Multilayer spectral graph clustering via convex layer aggregation.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Dynamic metric learning from pairwise comparisons.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

Quickest hub discovery in correlation graphs.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

Large-scale correlation mining for biomolecular network discovery.
Proceedings of the Big Data over Networks, 2016

2015
On Decentralized Estimation With Active Queries.
IEEE Trans. Signal Process., 2015

Robust Multiple Signal Classification via Probability Measure Transformation.
IEEE Trans. Signal Process., 2015

Adaptive Search and Tracking of Sparse Dynamic Targets Under Resource Constraints.
IEEE Trans. Signal Process., 2015

Importance-Weighted Adaptive Search for Multi-Class Targets.
IEEE Trans. Signal Process., 2015

l<sub>0</sub> Sparse Inverse Covariance Estimation.
IEEE Trans. Signal Process., 2015

Robust Kronecker Product PCA for Spatio-Temporal Covariance Estimation.
IEEE Trans. Signal Process., 2015

Deep Community Detection.
IEEE Trans. Signal Process., 2015

Phase Transitions in Spectral Community Detection.
IEEE Trans. Signal Process., 2015

Performance Guarantees for Adaptive Estimation of Sparse Signals.
IEEE Trans. Inf. Theory, 2015

Pareto-Depth for Multiple-Query Image Retrieval.
IEEE Trans. Image Process., 2015

Robust Linear Spectral Unmixing Using Anomaly Detection.
IEEE Trans. Computational Imaging, 2015

Signal Processing Challenges in Quantitative 3-D Cell Morphology: More than meets the eye.
IEEE Signal Process. Mag., 2015

Parameter Estimation in Spherical Symmetry Groups.
IEEE Signal Process. Lett., 2015

Empirical Non-Parametric Estimation of the Fisher Information.
IEEE Signal Process. Lett., 2015

A PDE-based Approach to Nondominated Sorting.
SIAM J. Numer. Anal., 2015

Tutorial on Stochastic Simulation and Optimization Methods in Signal Processing.
CoRR, 2015

Information Extraction from Larger Multi-layer Social Networks.
CoRR, 2015

Image patch analysis of sunspots and active regions. I. Intrinsic dimension and correlation analysis.
CoRR, 2015

Image patch analysis of sunspots and active regions. II. Clustering via dictionary learning.
CoRR, 2015

Multi-criteria Similarity-based Anomaly Detection using Pareto Depth Analysis.
CoRR, 2015

Two-stage Sampling, Prediction and Adaptive Regression via Correlation Screening (SPARCS).
CoRR, 2015

Incremental Method for Spectral Clustering of Increasing Orders.
CoRR, 2015

A Dictionary Approach to EBSD Indexing.
CoRR, 2015

Multimodal MRI Neuroimaging with Motion Compensation Based on Particle Filtering.
CoRR, 2015

Socio-Spatial Pareto Frontiers of Twitter Networks.
Proceedings of the Social Computing, Behavioral-Cultural Modeling, and Prediction, 2015

Multimodal factor analysis.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

On the rate-distortion regions for interactive source coding.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Non-parametric quickest change detection for large scale random matrices.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Coercive region-level registration for multi-modal images.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Semi-supervised multi-sensor classification via consensus-based Multi-View Maximum Entropy Discrimination.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Measure-transformed quasi maximum likelihood estimation with application to source localization.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Information extraction from large multi-layer social networks.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

MIST: L0 sparse linear regression with momentum.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Phase transitions in spectral community detection of large noisy networks.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Robust linear spectral unmixing using outlier detection.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Adaptive search for multi-class targets with heterogeneous importance.
Proceedings of the 18th International Conference on Information Fusion, 2015

Statistical estimation and clustering of group-invariant orientation parameters.
Proceedings of the 18th International Conference on Information Fusion, 2015

Meta learning of bounds on the Bayes classifier error.
Proceedings of the IEEE Signal Processing and Signal Processing Education Workshop, 2015

Bounds on variance for symmetric unimodal distributions.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014
Marginal Likelihoods for Distributed Parameter Estimation of Gaussian Graphical Models.
IEEE Trans. Signal Process., 2014

Collaborative 20 Questions for Target Localization.
IEEE Trans. Inf. Theory, 2014

Moving target inference with bayesian models in SAR imagery.
IEEE Trans. Aerosp. Electron. Syst., 2014

Nonlinear Unmixing of Hyperspectral Images: Models and Algorithms.
IEEE Signal Process. Mag., 2014

Variational semi-blind sparse deconvolution with orthogonal kernel bases and its application to MRFM.
Signal Process., 2014

A Hamilton-Jacobi Equation for the Continuum Limit of Nondominated Sorting.
SIAM J. Math. Anal., 2014

Multi-Layer Graph Analysis for Dynamic Social Networks.
IEEE J. Sel. Top. Signal Process., 2014

Social Collaborative Retrieval.
IEEE J. Sel. Top. Signal Process., 2014

Dynamic Stochastic Blockmodels for Time-Evolving Social Networks.
IEEE J. Sel. Top. Signal Process., 2014

Adaptive evolutionary clustering.
Data Min. Knowl. Discov., 2014

Resource-Constrained Adaptive Search and Tracking for Sparse Dynamic Targets.
CoRR, 2014

Resource-Constrained Adaptive Search for Sparse Multi-Class Targets with Varying Importance.
CoRR, 2014

Kronecker PCA Based Spatio-Temporal Modeling of Video for Dismount Classification.
CoRR, 2014

Spectral Correlation Hub Screening of Multivariate Time Series.
CoRR, 2014

EEG Spatial Decoding and Classification with Logit Shrinkage Regularized Directed Information Assessment (L-SODA).
CoRR, 2014

Shrinkage Optimized Directed Information using Pictorial Structures for Action Recognition.
CoRR, 2014

Universal Phase Transition in Community Detectability under a Stochastic Block Model.
CoRR, 2014

Empirically Estimable Classification Bounds Based on a New Divergence Measure.
CoRR, 2014

Assessing and safeguarding network resilience to nodal attacks.
IEEE Commun. Mag., 2014

Robust spectral unmixing for anomaly detection.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Regularized block Toeplitz covariance matrix estimation via Kronecker product expansions.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Multi-objective Optimization for Multi-level Networks.
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2014

Multivariate f-divergence Estimation With Confidence.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Diffusion LMS for multitask problems with overlapping hypothesis subspaces.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

A continuum limit for non-dominated sorting.
Proceedings of the 2014 Information Theory and Applications Workshop, 2014

A proof of the Generalized Markov Lemma with countable infinite sources.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Ensemble estimation of multivariate f-divergence.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Learning Latent Variable Gaussian Graphical Models.
Proceedings of the 31th International Conference on Machine Learning, 2014

Image patch analysis and clustering of sunspots: A dimensionality reduction approach.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

OBCS: The Ontology of Biological and Clinical Statistics.
Proceedings of the 5th International Conference on Biomedical Ontology, 2014

Robust measure transformed music for DOA estimation.
Proceedings of the IEEE International Conference on Acoustics, 2014

On lq estimation of sparse inverse covariance.
Proceedings of the IEEE International Conference on Acoustics, 2014

Nonlinear unmixing of hyperspectral images using a semiparametric model and spatial regularization.
Proceedings of the IEEE International Conference on Acoustics, 2014

Local Fiedler vector centrality for detection of deep and overlapping communities in networks.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
On Convergence of Kronecker Graphical Lasso Algorithms.
IEEE Trans. Signal Process., 2013

Covariance Estimation in High Dimensions Via Kronecker Product Expansions.
IEEE Trans. Signal Process., 2013

Ensemble Estimators for Multivariate Entropy Estimation.
IEEE Trans. Inf. Theory, 2013

Grand Challenges in Interfacing Engineering With Life Sciences and Medicine.
IEEE Trans. Biomed. Eng., 2013

Multistage Adaptive Estimation of Sparse Signals.
IEEE J. Sel. Top. Signal Process., 2013

Introduction to the issue on anomalous pattern discovery for spatial, temporal, networked, and high-dimensional signals.
IEEE J. Sel. Top. Signal Process., 2013

Clustering with a new distance measure based on a dual-rooted tree.
Inf. Sci., 2013

A regularized graph layout framework for dynamic network visualization.
Data Min. Knowl. Discov., 2013

Moving target inference with hierarchical Bayesian models in synthetic aperture radar imagery
CoRR, 2013

Multi-layer graph analytics for dynamic social networks.
CoRR, 2013

Information Theoretic Adaptive Tracking of Epidemics in Complex Networks.
CoRR, 2013

Unsupervised Bayesian linear unmixing of gene expression microarrays.
BMC Bioinform., 2013

Dynamic Stochastic Blockmodels: Statistical Models for Time-Evolving Networks.
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2013

Low separation rank covariance estimation using Kronecker product expansions.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Correcting camera shake by incremental sparse approximation.
Proceedings of the IEEE International Conference on Image Processing, 2013

EBSD image segmentation using a physics-based forward model.
Proceedings of the IEEE International Conference on Image Processing, 2013

Adaptive spectrum sensing and estimation.
Proceedings of the IEEE International Conference on Acoustics, 2013

A collaborative 20 questions model for target search with human-machine interaction.
Proceedings of the IEEE International Conference on Acoustics, 2013

A performance guarantee for adaptive estimation of sparse signals.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Blind collaborative 20 questions for target localization.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

A sparse multi-class classifier for biomarker screening.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Spatio-temporal analysis of Gaussian WSS processes via complex correlation and partial correlation screening.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Information-driven sensor planning: Navigating a statistical manifold.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Node removal vulnerability of the largest component of a network.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Multi-layer graph analytics for social networks.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

Adaptive search for sparse dynamic targets.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

Marginal likelihoods for distributed estimation of graphical model parameters.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

Kronecker sum decompositions of space-time data.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

Two-stage variable selection for molecular prediction of disease.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

Predictive Correlation Screening: Application to Two-stage Predictor Design in High Dimension.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012
Distributed Covariance Estimation in Gaussian Graphical Models.
IEEE Trans. Signal Process., 2012

On Measure Transformed Canonical Correlation Analysis.
IEEE Trans. Signal Process., 2012

Hyperspectral Image Unmixing Using a Multiresolution Sticky HDP.
IEEE Trans. Signal Process., 2012

Recursive ℓ<sub>1, ∞</sub> Group Lasso.
IEEE Trans. Signal Process., 2012

Multimodal Video Indexing and Retrieval Using Directed Information.
IEEE Trans. Multim., 2012

Estimation of Nonlinear Functionals of Densities With Confidence.
IEEE Trans. Inf. Theory, 2012

Hub Discovery in Partial Correlation Graphs.
IEEE Trans. Inf. Theory, 2012

Semi-Blind Sparse Image Reconstruction With Application to MRFM.
IEEE Trans. Image Process., 2012

High Dimensional Longitudinal Genomic Data: An analysis used for monitoring viral infections.
IEEE Signal Process. Mag., 2012

Graph based k-means clustering.
Signal Process., 2012

Cardiac motion estimation by joint alignment of tagged MRI sequences.
Medical Image Anal., 2012

Kronecker graphical lasso.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Ensemble weighted kernel estimators for multivariate entropy estimation.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Multi-criteria Anomaly Detection using Pareto Depth Analysis.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Large scale correlation detection.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Locally-adaptive similarity metric for deformable medical image registration.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Measure transformed canonical correlation analysis with application to financial data.
Proceedings of the IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, 2012

Sparse covariance estimation under Kronecker product structure.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Sensor management and provisioning for multiple target radar tracking systems.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Distributed principal component analysis on networks via directed graphical models.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

EEG spatial decoding with shrinkage optimized directed information assessment.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Bayesian linear unmixing of time-evolving gene expression data using a hidden Markov model.
Proceedings of the 20th European Signal Processing Conference, 2012

Variational semi-blind sparse image reconstruction with application to MRFM.
Proceedings of the Computational Imaging X, 2012

2011
Order-Preserving Factor Analysis - Application to Longitudinal Gene Expression.
IEEE Trans. Signal Process., 2011

Robust Shrinkage Estimation of High-Dimensional Covariance Matrices.
IEEE Trans. Signal Process., 2011

Two-Stage Multiscale Search for Sparse Targets.
IEEE Trans. Signal Process., 2011

Detection of Viruses Via Statistical Gene Expression Analysis.
IEEE Trans. Biomed. Eng., 2011

Information-Geometric Dimensionality Reduction.
IEEE Signal Process. Mag., 2011

Multidimensional Shrinkage-Thresholding Operator and Group LASSO Penalties.
IEEE Signal Process. Lett., 2011

Multi-criteria Anomaly Detection using Pareto Depth Analysis
CoRR, 2011

Sensor Management: Past, Present, and Future
CoRR, 2011

Tracking Communities in Dynamic Social Networks.
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2011

Efficient anomaly detection using bipartite k-NN graphs.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

k-nearest neighbor estimation of entropies with confidence.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

Efficient learning of sparse, distributed, convolutional feature representations for object recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Robust object pose estimation via statistical manifold modeling.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Biological pathway inference using manifold embedding.
Proceedings of the IEEE International Conference on Acoustics, 2011

Performance bounds for sparse parametric covariance estimation in Gaussian models.
Proceedings of the IEEE International Conference on Acoustics, 2011

Entropy estimation using the principle of maximum entropy.
Proceedings of the IEEE International Conference on Acoustics, 2011

A Bernoulli-Gaussian model for gene factor analysis.
Proceedings of the IEEE International Conference on Acoustics, 2011

A local dependence measure and its application to screening for high correlations in large data sets.
Proceedings of the 14th International Conference on Information Fusion, 2011

Myopic sparse image reconstruction with application to MRFM.
Proceedings of the Computational Imaging IX, 2011

Fisher information embedding for video indexing and retrieval.
Proceedings of the Computational Imaging IX, 2011

Misaligned Principal Components Analysis: Application to gene expression time series analysis.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

Adaptive search for dynamic targets under resource constraints.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

Shrinkage fisher information embedding of high dimensional feature distributions.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
Covariance estimation in decomposable Gaussian graphical models.
IEEE Trans. Signal Process., 2010

Shrinkage algorithms for MMSE covariance estimation.
IEEE Trans. Signal Process., 2010

On local intrinsic dimension estimation and its applications.
IEEE Trans. Signal Process., 2010

Algorithmes bayésiens pour le démélange supervisé, semi-supervisé et non-supervisé d'images hyperspectrales.
Traitement du Signal, 2010

Understanding Distal transcriptional Regulation from Sequence, Expression and interactome Perspectives.
J. Bioinform. Comput. Biol., 2010

Construction of Abdominal Probabilistic Atlases and Their Value in Segmentation of Normal Organs in Abdominal CT Scans.
IEICE Trans. Inf. Syst., 2010

Spatio-Temporal Graphical Model Selection
CoRR, 2010

Bayesian Inference of the Number of Factors in Gene-Expression Analysis: Application to Human Virus Challenge Studies.
BMC Bioinform., 2010

Hyperspectral image segmentation and unmixing using hidden Markov trees.
Proceedings of the International Conference on Image Processing, 2010

Evolutionary spectral clustering with adaptive forgetting factor.
Proceedings of the IEEE International Conference on Acoustics, 2010

Optimized intrinsic dimension estimator using nearest neighbor graphs.
Proceedings of the IEEE International Conference on Acoustics, 2010

Adaptive search for sparse targets with informative priors.
Proceedings of the IEEE International Conference on Acoustics, 2010

Modulated wideband converter with non-ideal lowpass filters.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Decomposable principal component analysis.
IEEE Trans. Signal Process., 2009

Joint Bayesian endmember extraction and linear unmixing for hyperspectral imagery.
IEEE Trans. Signal Process., 2009

Sparse Image Reconstruction for Molecular Imaging.
IEEE Trans. Image Process., 2009

Hierarchical Bayesian Sparse Image Reconstruction With Application to MRFM.
IEEE Trans. Image Process., 2009

FINE: Fisher Information Nonparametric Embedding.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Information Preserving Component Analysis: Data Projections for Flow Cytometry Analysis.
IEEE J. Sel. Top. Signal Process., 2009

Partially Observable Markov Decision Process Approximations for Adaptive Sensing.
Discret. Event Dyn. Syst., 2009

Revealing Social Networks of Spammers Through Spectral Clustering.
Proceedings of IEEE International Conference on Communications, 2009

Principal component analysis in decomposable Gaussian graphical models.
Proceedings of the IEEE International Conference on Acoustics, 2009

Bayesian sparse image reconstruction for MRFM.
Proceedings of the IEEE International Conference on Acoustics, 2009

Shrinkage estimation of high dimensional covariance matrices.
Proceedings of the IEEE International Conference on Acoustics, 2009

Sparse LMS for system identification.
Proceedings of the IEEE International Conference on Acoustics, 2009

An information geometric approach to supervised dimensionality reduction.
Proceedings of the IEEE International Conference on Acoustics, 2009

Unsupervised Object Pose Classification from Short Video Sequences.
Proceedings of the British Machine Vision Conference, 2009

2008
Optimal Two-Stage Search for Sparse Targets Using Convex Criteria.
IEEE Trans. Signal Process., 2008

Using Directed Information to Build Biologically Relevant Influence Networks.
J. Bioinform. Comput. Biol., 2008

Practical recipes for the model order reduction, dynamical simulation, and compressive sampling of large-scale open quantum systems
CoRR, 2008

Euclidean matrix completion problems in tracking and geo-localization.
Proceedings of the IEEE International Conference on Acoustics, 2008

Blind deconvolution for sparse molecular imaging.
Proceedings of the IEEE International Conference on Acoustics, 2008

Bayesian linear unmixing of hyperspectral images corrupted by colored Gaussian noise with unknown covariance matrix.
Proceedings of the IEEE International Conference on Acoustics, 2008

Fine: Information embedding for document classification.
Proceedings of the IEEE International Conference on Acoustics, 2008

Variance reduction with neighborhood smoothing for local intrinsic dimension estimation.
Proceedings of the IEEE International Conference on Acoustics, 2008

Blind reconstruction of sparse images with unknown point spread function.
Proceedings of the Computational Imaging VI, 2008

2007
Learning Sensor Location from Signal Strength and Connectivity.
Proceedings of the Secure Localization and Time Synchronization for Wireless Sensor and Ad Hoc Networks, 2007

Training in multiple-antenna Rician fading wireless channels with deterministic specular component.
IEEE Trans. Wirel. Commun., 2007

Hierarchical Inference of Unicast Network Topologies Based on End-to-End Measurements.
IEEE Trans. Signal Process., 2007

Detection of the Number of Signals Using the Benjamini-Hochberg Procedure.
IEEE Trans. Signal Process., 2007

On Tests for Global Maximum of the Log-Likelihood Function.
IEEE Trans. Inf. Theory, 2007

Signal Processing at the Science Fair [President's Message].
IEEE Signal Process. Mag., 2007

Maintaining our agility [President's Message].
IEEE Signal Process. Mag., 2007

A Convergent Incremental Gradient Method with a Constant Step Size.
SIAM J. Optim., 2007

An Information-Based Approach to Sensor Management in Large Dynamic Networks.
Proc. IEEE, 2007

Optimal Sequential Energy Allocation for Inverse Problems.
J. Sel. Topics Signal Processing, 2007

Bayesian Hierarchical Model for Large-Scale Covariance Matrix Estimation.
J. Comput. Biol., 2007

Motif Discovery in Tissue-Specific Regulatory Sequences Using Directed Information.
EURASIP J. Bioinform. Syst. Biol., 2007

Inferring Time-Varying Network Topologies from Gene Expression Data.
EURASIP J. Bioinform. Syst. Biol., 2007

Joint registration of multiple images using entropic graphs.
Proceedings of the Medical Imaging 2007: Image Processing, 2007

Multiview Registration of Cardiac Tagging Mri Images.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Comparing Pairwise and Simultaneous Joint Registrations of Decorrelating Interval Exams Using Entropic Graphs.
Proceedings of the Information Processing in Medical Imaging, 2007

Sequential Energy Allocation Strategies for Channel Estimation.
Proceedings of the IEEE International Conference on Acoustics, 2007

Network sensor management for tracking and localization.
Proceedings of the 10th International Conference on Information Fusion, 2007

Integrated fusion, performance prediction, and sensor management for automatic target exploitation AFOSR MURI.
Proceedings of the 10th International Conference on Information Fusion, 2007

Fiber Tract Clustering on Manifolds With Dual Rooted-Graphs.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Near-optimal signal detection for finite-state Markov signals with application to magnetic resonance force microscopy.
IEEE Trans. Signal Process., 2006

Energy-based sensor network source localization via projection onto convex sets.
IEEE Trans. Signal Process., 2006

Distributed weighted-multidimensional scaling for node localization in sensor networks.
ACM Trans. Sens. Networks, 2006

Convergent incremental optimization transfer algorithms: application to tomography.
IEEE Trans. Medical Imaging, 2006

Estimation of message source and destination from network intercepts.
IEEE Trans. Inf. Forensics Secur., 2006

A Binary Linear Programming Formulation of the Graph Edit Distance.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

Image registration methods in high-dimensional space.
Int. J. Imaging Syst. Technol., 2006

Adaptive multi-modality sensor scheduling for detection and tracking of smart targets.
Digit. Signal Process., 2006

Demonstrating distributed signal strength location estimation.
Proceedings of the 4th International Conference on Embedded Networked Sensor Systems, 2006

Geometric entropy minimization (GEM) for anomaly detection and localization.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Cardiac motion estimation by using high-dimensional features and K-means clustering method.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

A Geometric Characterization of Maximum Rényi Entropy Distributions.
Proceedings of the Proceedings 2006 IEEE International Symposium on Information Theory, 2006

Complex wavelets for registration of tagged MRI sequences.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Sparse Image Reconstruction using Sparse Priors.
Proceedings of the International Conference on Image Processing, 2006

Sparse Image Reconstruction for Partially known Blur Functions.
Proceedings of the International Conference on Image Processing, 2006

Phase Distortion Correction for See-Through-The-Wall Imaging Radar.
Proceedings of the International Conference on Image Processing, 2006

Detection Of a Random Walk Signal in the Regime of Low Signal to Noise Ratio and Long Observation Time.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Inference of Biologically Relevant Gene Influence Networks Using the Directed Information Criterion.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Single-Stage Waveform Selection for Adaptive Resource Constrained State Estimation.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

On Dimensionality Reduction for Classification and its Application.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Dual Rooted-Diffusions for Clustering and Classification on Manifolds.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Probabilistic data integration and visualization for understanding transcriptional regulation.
Proceedings of the 14th European Signal Processing Conference, 2006

Determining Intrinsic Dimension and Entropy of High-Dimensional Shape Spaces.
Proceedings of the Statistics and Analysis of Shapes, 2006

2005
Partial update LMS algorithms.
IEEE Trans. Signal Process., 2005

Image matching using alpha-entropy measures and entropic graphs.
Signal Process., 2005

Sensor management using an active sensing approach.
Signal Process., 2005

High Throughput Screening of Co-Expressed Gene Pairs with Controlled False Discovery Rate (FDR) and Minimum Acceptable Strength (MAS).
J. Comput. Biol., 2005

Tracking of Multiple Moving Sources Using Recursive EM Algorithm.
EURASIP J. Adv. Signal Process., 2005

Network constrained clustering for gene microarray data.
Bioinform., 2005

From Weighted Classification to Policy Search.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Manifold learning visualization of network traffic data.
Proceedings of the 1st Annual ACM Workshop on Mining Network Data, 2005

Assessment of artery dilation by using image registration based on spatial features.
Proceedings of the Medical Imaging 2005: Image Processing, 2005

Least Biased Target Selection in Probabilistic Atlas Construction.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

Myocardial Motion Estimation in Tagged MR Sequences by Using <i>alpha</i>MI-Based Non Rigid Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

Network constrained clustering for gene microarray data.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Gene coexpression network discovery with controlled statistical and biological significance.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Optimal experimental design for an inverse scattering problem.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Non-myopic approaches to scheduling agile sensors for multistage detection, tracking and identification.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Sensor network source localization via projection onto convex sets (POCS).
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Modeling, identification, and control of large-scale dynamical systems.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Achieving high-accuracy distributed localization in sensor networks.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Classification constrained dimensionality reduction.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Tests for global maximum of the likelihood function.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Image registration in high-dimensional feature space.
Proceedings of the Computational Imaging III, San Jose, 2005

2004
Pareto-Optimal Methods for Gene Ranking.
J. VLSI Signal Process., 2004

Guest Editorial: Special Issue on Machine Learning Methods in Signal Processing.
IEEE Trans. Signal Process., 2004

Geodesic entropic graphs for dimension and entropy estimation in manifold learning.
IEEE Trans. Signal Process., 2004

Convergence of differential entropies.
IEEE Trans. Inf. Theory, 2004

A Fast Spectral Method for Active 3D Shape Reconstruction.
J. Math. Imaging Vis., 2004

Gene discovery using Pareto depth sampling distributions.
J. Frankl. Inst., 2004

Multicriteria Gene Screening for Analysis of Differential Expression with DNA Microarrays.
EURASIP J. Adv. Signal Process., 2004

Entropic graphs for intrinsic dimension estimation in manifold learning.
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

Local Feature Matching Using Entropic Graphs.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

Pareto Depth Sampling Distributions for Gene Ranking.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

Network topology discovery using finite mixture models.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Manifold learning algorithms for localization in wireless sensor networks.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Manifold learning using Euclidean k-nearest neighbor graphs [image processing examples].
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Distributed maximum likelihood estimation for sensor networks.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Two state Markov modelling and detection of single electron spin signals.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

Statistical signal processing for gene microarrays.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

Learning intrinsic dimension and intrinsic entropy of high-dimensional datasets.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003
Unicast-based inference of network link delay distributions with finite mixture models.
IEEE Trans. Signal Process., 2003

Relative location estimation in wireless sensor networks.
IEEE Trans. Signal Process., 2003

Guest editorial special issue on signal processing in networking.
IEEE Trans. Signal Process., 2003

Secure space-time communication.
IEEE Trans. Inf. Theory, 2003

High-rate vector quantization for detection.
IEEE Trans. Inf. Theory, 2003

Manifold Learning with Geodesic Minimal Spanning Trees
CoRR, 2003

Using proximity and quantized RSS for sensor localization in wireless networks.
Proceedings of the Second ACM International Conference on Wireless Sensor Networks and Applications, 2003

Gene selection and ranking with microarray data.
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003

Multi-target Sensor Management Using Alpha-Divergence Measures.
Proceedings of the Information Processing in Sensor Networks, 2003

Hierarchical censoring for distributed detection in wireless sensor networks.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

On Solutions to Multivariate Maximum alpha-Entropy Problems.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2003

Asymptotic Characterization of Log-Likelihood Maximization Based Algorithms and Applications.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2003

2002
Environmental issues for MIMO capacity.
IEEE Trans. Signal Process., 2002

A spectral approach to statistical polar shape modeling.
Proceedings of the 2002 International Conference on Image Processing, 2002

Unicast-based inference of network link delay distributions using mixed finite mixture models.
Proceedings of the IEEE International Conference on Acoustics, 2002

Diversity and degrees of freedom in wireless communications.
Proceedings of the IEEE International Conference on Acoustics, 2002

Clustering gene expression signals from retinal microarray data.
Proceedings of the IEEE International Conference on Acoustics, 2002


Theory and application of entropiograph based I-divergence estimation.
Proceedings of the 11th European Signal Processing Conference, 2002

Image resolution-variance tradeoffs using the uniform Cramèr-Rao bound.
Proceedings of the 11th European Signal Processing Conference, 2002

Pareto analysis for gene filtering in microarray experiments.
Proceedings of the 11th European Signal Processing Conference, 2002

2001
Cutoff rate and signal design for the quasi-static Rayleigh-fading space-Time channel.
IEEE Trans. Inf. Theory, 2001

Comparison of GLR and invariant detectors under structured clutter covariance.
IEEE Trans. Image Process., 2001

Feature coincidence trees for registration of ultrasound breast images.
Proceedings of the 2001 International Conference on Image Processing, 2001

A robust Bayesian multisensor fusion algorithm for joint lane and pavement boundary detection.
Proceedings of the 2001 International Conference on Image Processing, 2001

Imaging applications of stochastic minimal graphs.
Proceedings of the 2001 International Conference on Image Processing, 2001

A spectral method for solving elliptic equations for surface reconstruction and 3D active contours.
Proceedings of the 2001 International Conference on Image Processing, 2001

Estimation of network link loss rates via chaining in multicast trees.
Proceedings of the IEEE International Conference on Acoustics, 2001

Unicast inference of network link delay distributions from edge measurements.
Proceedings of the IEEE International Conference on Acoustics, 2001

Comparison of GLR and maximal invariant detectors under structured clutter covariance.
Proceedings of the IEEE International Conference on Acoustics, 2001

Stability analysis of the sequential partial update LMS algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
Power versus performance tradeoffs for reduced resolution LMS adaptive filters.
IEEE Trans. Signal Process., 2000

Simultaneous detection of lane and pavement boundaries using model-based multisensor fusion.
IEEE Trans. Intell. Transp. Syst., 2000

Introduction to the special issue on information-theoretic imaging.
IEEE Trans. Inf. Theory, 2000

Kullback proximal algorithims for maximum-likelihood estimation.
IEEE Trans. Inf. Theory, 2000

Word Spotting in Bitmapped Fax Documents.
Inf. Retr., 2000

Robust QAM modulation classification via moment matrices.
Proceedings of the 11th IEEE International Symposium on Personal, 2000

Image Registration with Minimum Spanning Tree Algorithm.
Proceedings of the 2000 International Conference on Image Processing, 2000

Adaptive Target Detection Across a Clutter Boundary: GLR and Maximally Invariant Detectors.
Proceedings of the 2000 International Conference on Image Processing, 2000

Automatic extraction of time-frequency skeletons with minimal spanning trees.
Proceedings of the IEEE International Conference on Acoustics, 2000

Transient behavior of fixed point LMS adaptation.
Proceedings of the IEEE International Conference on Acoustics, 2000

1999
A maximum likelihood digital receiver using coordinate ascent and the discrete wavelet transform.
IEEE Trans. Signal Process., 1999

Tree-structured nonlinear signal modeling and prediction.
IEEE Trans. Signal Process., 1999

Minimax Emission Computed Tomography using High-Resolution Anatomical Side Information and B-Spline Models.
IEEE Trans. Inf. Theory, 1999

Asymptotic theory of greedy approximations to minimal k-point random graphs.
IEEE Trans. Inf. Theory, 1999

Road and Lane Edge Detection with Multisensor Fusion Methods.
Proceedings of the 1999 International Conference on Image Processing, 1999

On the Problem of Granulometry for a Degraded Boolean Image Model.
Proceedings of the 1999 International Conference on Image Processing, 1999

Theoretical aspects of power reduction for adaptive filters.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

Stability bounds on step-size for the partial update LMS algorithm.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998
Data-recursive algorithms for blind channel identification in oversampled communication systems.
IEEE Trans. Signal Process., 1998

Scale and Translation Invariant Methods for Enhanced Time-Frequency Pattern Recognition.
Multidimens. Syst. Signal Process., 1998

Side Information Averaging Method for PML Emission Tomography.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

Penalized maximum likelihood image reconstruction with min-max incorporation of noisy side information.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Digital modulation classification using power moment matrices.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

1997
Recursive algorithms for computing the Cramer-Rao bound.
IEEE Trans. Signal Process., 1997

Detection of Curved Road Edges in Radar Images Via Deformable Templates.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

Moment Matrices for Recognition of Spatial Pattern in Noisy Images.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

Robust detection of SAR/IR targets via invariance.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

Shift and scale invariant detection.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

Penalized likelihood emission image reconstruction with uncertain boundary information.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

Tomographic feature detection and classification using parallelotope bounded error estimation.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996
Exploring estimator bias-variance tradeoffs using the uniform CR bound.
IEEE Trans. Signal Process., 1996

Improved penalized likelihood reconstruction of anatomically correlated emission data.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

Word spotting via spatial point processes.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

A maximum likelihood CDMA receiver using the EM algorithm and the discrete wavelet transform.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

1995
Optimal simultaneous detection and estimation under a false alarm constraint.
IEEE Trans. Inf. Theory, 1995

Penalized maximum-likelihood image reconstruction using space-alternating generalized EM algorithms.
IEEE Trans. Image Process., 1995

NMR object boundaries: B-spline modeling and estimator performance.
Proceedings of the 1995 International Conference on Acoustics, 1995

Spread spectrum sequence estimation and bit synchronization using an EM-type algorithm.
Proceedings of the 1995 International Conference on Acoustics, 1995

Tree structured non-linear signal modeling and prediction.
Proceedings of the 1995 International Conference on Acoustics, 1995

1994
Space-alternating generalized expectation-maximization algorithm.
IEEE Trans. Signal Process., 1994

Time-delay estimation for filtered Poisson processes using an EM-type algorithm.
IEEE Trans. Signal Process., 1994

Model-based estimation with boundary side information or boundary regularization [cardiac emission CT].
IEEE Trans. Medical Imaging, 1994

Model-based estimation for dynamic cardiac studies using ECT.
IEEE Trans. Medical Imaging, 1994

A recursive algorithm for computing Cramer-Rao- type bounds on estimator covariance.
IEEE Trans. Inf. Theory, 1994

Bias-Variance Tradeoffs Analysis using Uniform CR Bound for Images.
Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994

Simultaneous confidence intervals for image reconstruction problems.
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994

Recursive CR bounds: algebraic and statistical acceleration.
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994

Non-orthogonal Gabor representation of biological signals.
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994

1993
Complete-data spaces and generalized EM algorithms.
Proceedings of the IEEE International Conference on Acoustics, 1993

A new method for adaptive wideband beamforming.
Proceedings of the IEEE International Conference on Acoustics, 1993

1992
On Achievable Accuracy in Edge Localization.
IEEE Trans. Pattern Anal. Mach. Intell., 1992

A new criterion for adaptive beamsumming.
Proceedings of the 1992 IEEE International Conference on Acoustics, 1992

Further results on tradeoffs between detection and estimation.
Proceedings of the 1992 IEEE International Conference on Acoustics, 1992

1991
Timing estimation for a filtered Poisson process in Gaussian noise.
IEEE Trans. Inf. Theory, 1991

On the application of Cramer-Rao type lower bounds for constrained estimation.
Proceedings of the 1991 International Conference on Acoustics, 1991

Tradeoffs between detection and estimation for multiple signals.
Proceedings of the 1991 International Conference on Acoustics, 1991

1990
Lower bounds for parametric estimation with constraints.
IEEE Trans. Inf. Theory, 1990

Simultaneous signal detection and classification under a false alarm constraint.
Proceedings of the 1990 International Conference on Acoustics, 1990

1989
Lower bounds on estimator performance for energy-invariant parameters of multidimensional Poisson processes.
IEEE Trans. Inf. Theory, 1989

Information optimization of projective tomographic imaging systems.
Proceedings of the IEEE International Conference on Acoustics, 1989

Error intensity measures for multi-parameter tracking and passive bearing estimation.
Proceedings of the IEEE International Conference on Acoustics, 1989

1988
Poisson models and mean-squared error for correlator estimators of time delay.
IEEE Trans. Inf. Theory, 1988

Time delay estimation for Poisson derived processes.
Proceedings of the IEEE International Conference on Acoustics, 1988

1987
Applications of error intensity measures to bearing estimation.
Proceedings of the IEEE International Conference on Acoustics, 1987

1986
Radar data processing: Vol. I-Introduction and tracking.
IEEE Trans. Acoust. Speech Signal Process., 1986

1985
A new generalized cross correlator.
IEEE Trans. Acoust. Speech Signal Process., 1985

1984
Alternatives to the generalized cross correlater for time delay estimation.
Proceedings of the IEEE International Conference on Acoustics, 1984


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