Alan S. Willsky

According to our database1, Alan S. Willsky authored at least 251 papers between 1974 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of two.

Awards

IEEE Fellow

IEEE Fellow 1986, "For contributions to the theory of estimation and detection in stochastic systems and their application.".

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Analysis of MHT and GBT Approaches to Disparate-Sensor Fusion.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

2019
Graph-Based Tracking with Uncertain ID Measurement Associations.
Proceedings of the 22th International Conference on Information Fusion, 2019

2017
Multi-Sensor tracking of move-stop-move targets.
Proceedings of the Sensor Data Fusion: Trends, Solutions, Applications, 2017

2016
New graph-based and MCMC approaches to multi-INT surveillance.
Proceedings of the 19th International Conference on Information Fusion, 2016

2015
Sampling From Gaussian Markov Random Fields Using Stationary and Non-Stationary Subgraph Perturbations.
IEEE Trans. Signal Process., 2015

Semidefinite Descriptions of the Convex Hull of Rotation Matrices.
SIAM J. Optim., 2015

MCMC and MHT Approaches to Multi-INT surveillance.
Proceedings of the 18th International Conference on Information Fusion, 2015

2014
Sparsity-Driven Synthetic Aperture Radar Imaging: Reconstruction, autofocusing, moving targets, and compressed sensing.
IEEE Signal Process. Mag., 2014

Stochastic Variational Inference for Bayesian Time Series Models.
Proceedings of the 31th International Conference on Machine Learning, 2014

Semidefinite relaxations for optimization problems over rotation matrices.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Bayesian nonparametric hidden semi-Markov models.
J. Mach. Learn. Res., 2013

Learning Gaussian Graphical Models with Observed or Latent FVSs.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Analyzing Hogwild Parallel Gaussian Gibbs Sampling.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Recursive FMP for distributed inference in Gaussian graphical models.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Sampling from Gaussian graphical models using subgraph perturbations.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Diagonal and low-rank decompositions and fitting ellipsoids to random points.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
Feedback Message Passing for Inference in Gaussian Graphical Models.
IEEE Trans. Signal Process., 2012

Convex Graph Invariants.
SIAM Rev., 2012

Diagonal and Low-Rank Matrix Decompositions, Correlation Matrices, and Ellipsoid Fitting.
SIAM J. Matrix Anal. Appl., 2012

Context models and out-of-context objects.
Pattern Recognit. Lett., 2012

A Tree-Based Context Model for Object Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

High-dimensional Gaussian graphical model selection: walk summability and local separation criterion.
J. Mach. Learn. Res., 2012

The Convex Geometry of Linear Inverse Problems.
Found. Comput. Math., 2012

Rejoinder: Latent variable graphical model selection via convex optimization
CoRR, 2012

2011
Linear Dimensionality Reduction for Margin-Based Classification: High-Dimensional Data and Sensor Networks.
IEEE Trans. Signal Process., 2011

Bayesian Nonparametric Inference of Switching Dynamic Linear Models.
IEEE Trans. Signal Process., 2011

A Large-Deviation Analysis of the Maximum-Likelihood Learning of Markov Tree Structures.
IEEE Trans. Inf. Theory, 2011

Belief Propagation and LP Relaxation for Weighted Matching in General Graphs.
IEEE Trans. Inf. Theory, 2011

Rank-Sparsity Incoherence for Matrix Decomposition.
SIAM J. Optim., 2011

Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates.
J. Mach. Learn. Res., 2011

Learning Latent Tree Graphical Models.
J. Mach. Learn. Res., 2011

High-Dimensional Structure Estimation in Ising Models: Tractable Graph Families
CoRR, 2011

High-Dimensional Gaussian Graphical Model Selection: Tractable Graph Families
CoRR, 2011

High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions.
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

Energy-latency tradeoff for in-network function computation in random networks.
Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

Sample complexity for topology estimation in networks of LTI systems.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Tree-structured statistical modeling via convex optimization.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Learning graphical models for hypothesis testing and classification.
IEEE Trans. Signal Process., 2010

Learning Gaussian tree models: analysis of error exponents and extremal structures.
IEEE Trans. Signal Process., 2010

Gaussian multiresolution models: exploiting sparse Markov and covariance structure.
IEEE Trans. Signal Process., 2010

An Efficient Message-Passing Algorithm for Optimizing Decentralized Detection Networks.
IEEE Trans. Autom. Control., 2010

Paths Ahead in the Science of Information and Decision Systems [In the Spotlight].
IEEE Signal Process. Mag., 2010

Bayesian Nonparametric Methods for Learning Markov Switching Processes.
IEEE Signal Process. Mag., 2010

Sequential Compressed Sensing.
IEEE J. Sel. Top. Signal Process., 2010

Classification Using Geometric Level Sets.
J. Mach. Learn. Res., 2010

Nonparametric belief propagation.
Commun. ACM, 2010

The Hierarchical Dirichlet Process Hidden Semi-Markov Model.
Proceedings of the UAI 2010, 2010

Necessary and sufficient conditions for high-dimensional salient feature subset recovery.
Proceedings of the IEEE International Symposium on Information Theory, 2010

Error exponents for composite hypothesis testing of Markov forest distributions.
Proceedings of the IEEE International Symposium on Information Theory, 2010

Limit laws for random spatial graphical models.
Proceedings of the IEEE International Symposium on Information Theory, 2010

Exploiting hierarchical context on a large database of object categories.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Message passing for maximum weight independent set.
IEEE Trans. Inf. Theory, 2009

Sharing Features among Dynamical Systems with Beta Processes.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

A large-deviation analysis for the maximum likelihood learning of tree structures.
Proceedings of the IEEE International Symposium on Information Theory, 2009

Detection error exponent for spatially dependent samples in random networks.
Proceedings of the IEEE International Symposium on Information Theory, 2009

Exploiting sparse Markov <i>and</i> covariance structure in multiresolution models.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Learning dimensionality-reduced classifiers for information fusion.
Proceedings of the 12th International Conference on Information Fusion, 2009

Lessons learned in the creation of a data set for hard/soft information fusion.
Proceedings of the 12th International Conference on Information Fusion, 2009

An efficient message passing algorithm for multi-target tracking.
Proceedings of the 12th International Conference on Information Fusion, 2009

2008
Sparse Representation in Structured Dictionaries With Application to Synthetic Aperture Radar.
IEEE Trans. Signal Process., 2008

Low-Rank Variance Approximation in GMRF Models: Single and Multiscale Approaches.
IEEE Trans. Signal Process., 2008

Estimation in Gaussian Graphical Models Using Tractable Subgraphs: A Walk-Sum Analysis.
IEEE Trans. Signal Process., 2008

Learning the Dynamics and Time-Recursive Boundary Detection of Deformable Objects.
IEEE Trans. Image Process., 2008

A Recursive Model-Reduction Method for Approximate Inference in Gaussian Markov Random Fields.
IEEE Trans. Image Process., 2008

Describing Visual Scenes Using Transformed Objects and Parts.
Int. J. Comput. Vis., 2008

Nonparametric Bayesian Learning of Switching Linear Dynamical Systems.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Segmentation of the evolving left ventricle by learning the dynamics.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

An HDP-HMM for systems with state persistence.
Proceedings of the Machine Learning, 2008

Learning max-weight discriminative forests.
Proceedings of the IEEE International Conference on Acoustics, 2008

Compressed sensing with sequential observations.
Proceedings of the IEEE International Conference on Acoustics, 2008

Maximum entropy relaxation for multiscale graphical model selection.
Proceedings of the IEEE International Conference on Acoustics, 2008

MCMC curve sampling and geometric conditional simulation.
Proceedings of the Computational Imaging VI, 2008

2007
Detection and Localization of Material Releases With Sparse Sensor Configurations.
IEEE Trans. Signal Process., 2007

Nonparametric shape priors for active contour-based image segmentation.
Signal Process., 2007

Performance Guarantees for Information Theoretic Active Inference.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Learning Markov Structure by Maximum Entropy Relaxation.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Lagrangian Relaxation for MAP Estimation in Graphical Models
CoRR, 2007

Loop Series and Bethe Variational Bounds in Attractive Graphical Models.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Message Passing for Max-weight Independent Set.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Linear programming analysis of loopy belief propagation for weighted matching.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

MCMC Curve Sampling for Image Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Performance Guarantees for Information Theoretic Sensor Resource Management.
Proceedings of the IEEE International Conference on Acoustics, 2007

GMRF Variance Approximation using Splicedwavelet Bases.
Proceedings of the IEEE International Conference on Acoustics, 2007

Hierarchical Dirichlet processes for tracking maneuvering targets.
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
Variational approaches on discontinuity localization and field estimation in sea surface temperature and soil moisture.
IEEE Trans. Geosci. Remote. Sens., 2006

Distributed fusion in sensor networks.
IEEE Signal Process. Mag., 2006

A State-Space Analysis for Reconstruction of Goal-Directed Movements Using Neural Signals.
Neural Comput., 2006

Data association based on optimization in graphical models with application to sensor networks.
Math. Comput. Model., 2006

Walk-Sums and Belief Propagation in Gaussian Graphical Models.
J. Mach. Learn. Res., 2006

Low-Rank Variance Estimation in Large-Scale Gmrf Models.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Detection and Localization of Material Releases with Sparse Sensor Configurations.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Depth from Familiar Objects: A Hierarchical Model for 3D Scenes.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
Nonlinear evolution equations as fast and exact solvers of estimation problems.
IEEE Trans. Signal Process., 2005

A sparse signal reconstruction perspective for source localization with sensor arrays.
IEEE Trans. Signal Process., 2005

MAP estimation via agreement on trees: message-passing and linear programming.
IEEE Trans. Inf. Theory, 2005

A new class of upper bounds on the log partition function.
IEEE Trans. Inf. Theory, 2005

A Nonparametric Statistical Method for Image Segmentation Using Information Theory and Curve Evolution.
IEEE Trans. Image Process., 2005

An EM algorithm for shape classification based on level sets.
Medical Image Anal., 2005

Nonparametric belief propagation for self-localization of sensor networks.
IEEE J. Sel. Areas Commun., 2005

Loopy Belief Propagation: Convergence and Effects of Message Errors.
J. Mach. Learn. Res., 2005

A multiscale approach to pixel-level image fusion.
Integr. Comput. Aided Eng., 2005

MAP estimation via agreement on (hyper)trees: Message-passing and linear programming
CoRR, 2005

Describing Visual Scenes using Transformed Dirichlet Processes.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Inference with Minimal Communication: a Decision-Theoretic Variational Approach.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Walk-Sum Interpretation and Analysis of Gaussian Belief Propagation.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Segmenting and Tracking the Left Ventricle by Learning the Dynamics in Cardiac Images.
Proceedings of the Information Processing in Medical Imaging, 2005

Learning Hierarchical Models of Scenes, Objects, and Parts.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

Optimization approaches to dynamic routing of measurements and models in a sensor network object tracking problem.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Estimating dependency and significance for high-dimensional data.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Homotopy continuation for sparse signal representation.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Embedded trees: estimation of Gaussian Processes on graphs with cycles.
IEEE Trans. Signal Process., 2004

Nonparametric hypothesis tests for statistical dependency.
IEEE Trans. Signal Process., 2004

Tree consistency and bounds on the performance of the max-product algorithm and its generalizations.
Stat. Comput., 2004

Mutual information in coupled multi-shape model for medical image segmentation.
Medical Image Anal., 2004

Distributed Occlusion Reasoning for Tracking with Nonparametric Belief Propagation.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Message Errors in Belief Propagation.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Level Set Methods in an EM Framework for Shape Classification and Estimation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

Nonparametric belief propagation for self-calibration in sensor networks.
Proceedings of the Third International Symposium on Information Processing in Sensor Networks, 2004

Optimal sparse representations in general overcomplete bases.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Nonparametric belief propagation for sensor self-calibration.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Visual Hand Tracking Using Nonparametric Belief Propagation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2004

2003
A Shape-Based Approach to the Segmentation of Medical Imagery Using Level Sets.
IEEE Trans. Medical Imaging, 2003

Tree-based reparameterization framework for analysis of sum-product and related algorithms.
IEEE Trans. Inf. Theory, 2003

A generalized Levinson algorithm for covariance extension with application to multiscale autoregressive modeling.
IEEE Trans. Inf. Theory, 2003

A Krylov Subspace Method for Covariance Approximation and Simulation of Random Processes and Fields.
Multidimens. Syst. Signal Process., 2003

Detection and Analysis of Anisotropic Scattering in SAR Data.
Multidimens. Syst. Signal Process., 2003

Efficient Multiscale Sampling from Products of Gaussian Mixtures.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Hypothesis Testing over Factorizations for Data Association.
Proceedings of the Information Processing in Sensor Networks, 2003

Coupled Multi-shape Model and Mutual Information for Medical Image Segmentation.
Proceedings of the Information Processing in Medical Imaging, 2003

A Unified Variational Approach to Denoising and Bias Correction in MR.
Proceedings of the Information Processing in Medical Imaging, 2003

Incorporating complex statistical information in active contour-based image segmentation.
Proceedings of the 2003 International Conference on Image Processing, 2003

Nonparametric Belief Propagation.
Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

Tree-reweighted belief propagation algorithms and approximate ML estimation by pseudo-moment matching.
Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

2002
A Fully Global Approach to Image Segmentation via Coupled Curve Evolution Equations.
J. Vis. Commun. Image Represent., 2002

Statistical and Information-Theoretic Methods for Self-Organization and Fusion of Multimodal, Networked Sensors.
Int. J. High Perform. Comput. Appl., 2002

Exact MAP Estimates by (Hyper)tree Agreement.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

A curve evolution-based variational approach to simultaneous image restoration and segmentation.
Proceedings of the 2002 International Conference on Image Processing, 2002

Nonparametric methods for image segmentation using information theory and curve evolution.
Proceedings of the 2002 International Conference on Image Processing, 2002

Edge-preserving image reconstruction for coherent imaging applications.
Proceedings of the 2002 International Conference on Image Processing, 2002

A variational technique for source localization based on a sparse signal reconstruction perspective.
Proceedings of the IEEE International Conference on Acoustics, 2002

2001
Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification.
IEEE Trans. Image Process., 2001

A canonical correlations approach to multiscale stochastic realization.
IEEE Trans. Autom. Control., 2001

Krylov Subspace Estimation.
SIAM J. Sci. Comput., 2001

Computationally Efficient Stochastic Realization for Internal Multiscale Autoregressive Models.
Multidimens. Syst. Signal Process., 2001

Computationally efficient steady-state multiscale estimation for 1-D diffusion processes.
Autom., 2001

Tree-based reparameterization for approximate inference on loopy graphs.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Nonparametric estimators for online signature authentication.
Proceedings of the IEEE International Conference on Acoustics, 2001

Estimating surface reflectance properties from images under unknown illumination.
Proceedings of the Human Vision and Electronic Imaging VI, 2001

Model-Based Curve Evolution Technique for Image Segmentation.
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

Statistics of Real-World Illumination.
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

2000
Multiscale methods for the segmentation and reconstruction of signals and images.
IEEE Trans. Image Process., 2000

Image segmentation and edge enhancement with stabilized inverse diffusion equations.
IEEE Trans. Image Process., 2000

Tree-Based Modeling and Estimation of Gaussian Processes on Graphs with Cycles.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

A Curve Evolution Approach to Medical Image Magnification via the Mumford-Shah Functional.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2000

Incorporating Spatial Priors into an Information Theoretic Approach for <i>f</i>MRI Data Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2000

Random Cascades of Gaussian Scale Mixtures and Their Use in Modeling Natural Images With Application to Denoising.
Proceedings of the 2000 International Conference on Image Processing, 2000

Curve Evolution, Boundary-Value Stochastic Processes, the Mumford-Shah Problem, and Missing Data Applications.
Proceedings of the 2000 International Conference on Image Processing, 2000

A Curve Evolution Approach to Smoothing and Segmentation Using the Mumford-Shah Functional.
Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000

1999
Multiscale Autoregressive Models and Wavelets.
IEEE Trans. Inf. Theory, 1999

The Modeling and Estimation of Statistically Self-Similar Processes in a Multiresolution Framework.
IEEE Trans. Inf. Theory, 1999

Silhouette recognition using high-resolution pursuit.
Pattern Recognit., 1999

Analysis of Functional MRI Data Using Mutual Information.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1999

Binary and Ternary Flows for Image Segmentation.
Proceedings of the 1999 International Conference on Image Processing, 1999

Recursive Multiscale Estimation of Space-Time Random Fields.
Proceedings of the 1999 International Conference on Image Processing, 1999

A Statistical Approach to Snakes for Bimodal and Trimodal Imagery.
Proceedings of the International Conference on Computer Vision, 1999

A Krylov subspace method for large estimation problems.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

A nonlinear diffusion equation as a fast and optimal solver of edge detection problems.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998
A multiscale hypothesis testing approach to anomaly detection and localization from noisy tomographic data.
IEEE Trans. Image Process., 1998

Efficient Multiresolution Counterparts to Variational Methods for Surface Reconstruction.
Comput. Vis. Image Underst., 1998

Mobile agents in adaptive hierarchical Bayesian networks for global awareness.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

Stabilized Inverse Diffusion Equations and Segmentation of Vector-Valued Images.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

An Estimation-Theoretic Technique for Motion-Compensated Synthetic-Aperture Array Imaging.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

Computationally Efficient Multiscale Estimation of Large-Scale Dynamic Systems.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

Efficient multiscale stochastic realization.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

1997
Low complexity optimal joint detection for oversaturated multiple access communications.
IEEE Trans. Signal Process., 1997

An overlapping tree approach to multiscale stochastic modeling and estimation.
IEEE Trans. Image Process., 1997

Multiscale segmentation and anomaly enhancement of SAR imagery.
IEEE Trans. Image Process., 1997

Tomographic reconstruction and estimation based on multiscale natural-pixel bases.
IEEE Trans. Image Process., 1997

Multiscale, Statistical Anomaly Detection Analysis and Algorithms for Linearized Inverse Scattering Problems.
Multidimens. Syst. Signal Process., 1997

A Statistical Method for Efficient Segmentation of MR Imagery.
Int. J. Pattern Recognit. Artif. Intell., 1997

Scale Space Analysis by Stabilized Inverse Diffusion Equations.
Proceedings of the Scale-Space Theory in Computer Vision, First International Conference, 1997

Segmentation and Compression of SAR Imagery via Hierarchical Stochastic Modelling.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

A Recursive Estimation Approach to the Segmentation of MR Imagery.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

1996
Fractal estimation using models on multiscale trees.
IEEE Trans. Signal Process., 1996

A wavelet-based method for multiscale tomographic reconstruction.
IEEE Trans. Medical Imaging, 1996

A moment-based variational approach to tomographic reconstruction.
IEEE Trans. Image Process., 1996

A multiscale, statistically based inversion scheme for linearized inverse scattering problems.
IEEE Trans. Geosci. Remote. Sens., 1996

Local tests for consistency of support hyperplane data.
J. Math. Imaging Vis., 1996

Tomographic Reconstruction of Polygons from Knot Location and Chord Length Measurements.
CVGIP Graph. Model. Image Process., 1996

Multiscale hypothesis testing with application to anomaly characterization from tomographic projections.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

Multiscale segmentation and anomaly enhancement of SAR imagery.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

A general multiresolution approach to the estimation of dense fields in remote sensing.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

Multiscale methods for the segmentation of images.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

Low complexity optimal multiple access joint detection for linearly dependent user sets.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

Multiresolution stochastic models for the efficient solution of large-scale space-time estimation problems.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

1995
Reconstructing polygons from moments with connections to array processing.
IEEE Trans. Signal Process., 1995

Estimation of dynamically evolving ellipsoids with applications to medical imaging.
IEEE Trans. Medical Imaging, 1995

Likelihood calculation for a class of multiscale stochastic models, with application to texture discrimination.
IEEE Trans. Image Process., 1995

Multiresolution optimal interpolation and statistical analysis of TOPEX/POSEIDON satellite altimetry.
IEEE Trans. Geosci. Remote. Sens., 1995

A distributed and iterative method for square root filtering in space-time estimation.
Autom., 1995

Multiscale geometrical feature extraction and object recognition with wavelets and morphology.
Proceedings of the Proceedings 1995 International Conference on Image Processing, 1995

Multiresolution model development for overlapping trees via canonical correlation analysis.
Proceedings of the Proceedings 1995 International Conference on Image Processing, 1995

A multi-resolution approach for imaging hydraulic conductivity.
Proceedings of the Proceedings 1995 International Conference on Image Processing, 1995

Best basis algorithm for signal enhancement.
Proceedings of the 1995 International Conference on Acoustics, 1995

Geometric interpretation of multiaccess joint detection and the alternating projection algorithm.
Proceedings of the 1995 International Conference on Acoustics, 1995

Multiresolution statistical analysis and assimilation of large ocean data sets.
Proceedings of the 1995 International Conference on Acoustics, 1995

1994
Efficient multiscale regularization with applications to the computation of optical flow.
IEEE Trans. Image Process., 1994

Probabilistic and sequential computation of optical flow using temporal coherence.
IEEE Trans. Image Process., 1994

Reconstructing Binary Polygonal Objects from Projections: A Statistical View.
CVGIP Graph. Model. Image Process., 1994

Reconstructing Ellipsoids from Projections.
CVGIP Graph. Model. Image Process., 1994

Modeling and Estimation for a Class of Multiresolution Random Fields.
Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994

Moment-Based Geometric Image Reconstruction.
Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994

Multiresolution Stochastic Imaging of Satellite Oceanographic Altimetric Data.
Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994

Wavelet-Based Multiscale Stochastic Models for Efficient Tomographic Discrimination of Fractal Fields.
Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994

1993
Multiscale representations of Markov random fields.
IEEE Trans. Signal Process., 1993

Hierarchical reconstruction using geometry and sinogram restoration.
IEEE Trans. Image Process., 1993

Multiresolution stochastic models, data fusion, and wavelet transforms.
Signal Process., 1993

1992
Multiscale autoregressive processes. II. Lattice structures for whitening and modeling.
IEEE Trans. Signal Process., 1992

Multiscale autoregressive processes. I. Schur-Levinson parametrizations.
IEEE Trans. Signal Process., 1992

Introduction to the special issue on wavelet transforms and multiresolution signal analysis.
IEEE Trans. Inf. Theory, 1992

Modeling and estimation of multiresolution stochastic processes.
IEEE Trans. Inf. Theory, 1992

Sequential filtering for multi-frame visual reconstruction.
Signal Process., 1992

Invertibility of Discrete-Event Dynamic Systems.
Math. Control. Signals Syst., 1992

Aggregation and multi-level control in discrete event dynamic systems.
Autom., 1992

Opportunities and Challenges in Signal Processing and Analysis.
Proceedings of the Future Tendencies in Computer Science, 1992

1991
Internal models and recursive estimation for 2-D isotropic random fields.
IEEE Trans. Inf. Theory, 1991

Stability and Stabilizability of Discrete Event Dynamic Systems.
J. ACM, 1991

Convex set reconstruction using prior shape information.
CVGIP Graph. Model. Image Process., 1991

Modeling and estimation of multiscale stochastic processes.
Proceedings of the 1991 International Conference on Acoustics, 1991

1990
Reconstructing Convex Sets from Support Line Measurements.
IEEE Trans. Pattern Anal. Mach. Intell., 1990

1989
A hierarchical algorithm for limited-angle reconstruction.
Proceedings of the IEEE International Conference on Acoustics, 1989

1988
Eigenstructure approach for array processing with unknown intensity coefficients.
IEEE Trans. Acoust. Speech Signal Process., 1988

An efficient maximum entropy technique for 2-D isotropic random fields.
IEEE Trans. Acoust. Speech Signal Process., 1988

Sampling theorems for two-dimensional isotropic random fields.
IEEE Trans. Inf. Theory, 1988

The reduction of perturbed Markov generators: an algorithm exposing the role of transient states.
J. ACM, 1988

A projection space map method for limited angle reconstruction.
Proceedings of the IEEE International Conference on Acoustics, 1988

1986
Smoothing error dynamics and their use in the solution of smoothing and mapping problems.
IEEE Trans. Inf. Theory, 1986

Optimally robust redundancy relations for failure detection in uncertain systems.
Autom., 1986

1984
Maximum likelihood estimation of object size and orientation from projection data.
Proceedings of the IEEE International Conference on Acoustics, 1984

1983
A scattering framework for decentralized estimation problems.
Autom., 1983

Reconstruction from projections based on detection and estimation of objects.
Proceedings of the IEEE International Conference on Acoustics, 1983

1978
On the Algebraic Structure of Certain Partially Observable Finite-State Markov Processes
Inf. Control., August, 1978

1976
A survey of design methods for failure detection in dynamic systems.
Autom., 1976

1975
Invertibility of Finite Group Homomorphic Sequential Systems
Inf. Control., February, 1975

Estimation and detection of signals in multiplicative noise (Corresp.).
IEEE Trans. Inf. Theory, 1975

1974
Fourier series and estimation on the circle with applications to synchronous communication-II: Implementation.
IEEE Trans. Inf. Theory, 1974

Fourier series and estimation on the circle with applications to synchronous communication-I: Analysis.
IEEE Trans. Inf. Theory, 1974

Some structural properties of automata defined on groups.
Proceedings of the Category Theory Applied to Computation and Control, 1974


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