Alan S. Willsky

286 papers A* 9A 8B 13C 10Misc 21Journal 144Unranked 81
YearRankTypeTitle / Venue / Authors
2020 C conf
Analysis of MHT and GBT Approaches to Disparate-Sensor Fusion.
FUSION
Craig Carthel, Jordan LeNoach, Stefano Coraluppi, Alan S. Willsky, Brandon Bale
2019 C conf
Graph-Based Tracking with Uncertain ID Measurement Associations.
FUSION
Stefano P. Coraluppi, Craig A. Carthel, Alan S. Willsky
2017 — conf
Multi-Sensor tracking of move-stop-move targets.
SDF
Stefano P. Coraluppi, Craig A. Carthel, Alan S. Willsky
2016 C conf
New graph-based and MCMC approaches to multi-INT surveillance.
FUSION
Stefano Coraluppi, Craig Carthel, William Kreamer, Alan S. Willsky
2015 C conf
MCMC and MHT Approaches to Multi-INT surveillance.
FUSION
Stefano Coraluppi, Craig Carthel, William Kreamer, Alan S. Willsky
2015 J jnl
Sampling From Gaussian Markov Random Fields Using Stationary and Non-Stationary Subgraph Perturbations.
IEEE Trans. Signal Process.
Ying Liu, Oliver Kosut, Alan S. Willsky
2015 J jnl
Semidefinite Descriptions of the Convex Hull of Rotation Matrices.
SIAM J. Optim.
James Saunderson, Pablo A. Parrilo, Alan S. Willsky
2014 — conf
Semidefinite relaxations for optimization problems over rotation matrices.
CDC
James Saunderson, Pablo A. Parrilo, Alan S. Willsky
2014 J jnl
Sparsity-Driven Synthetic Aperture Radar Imaging: Reconstruction, autofocusing, moving targets, and compressed sensing.
IEEE Signal Process. Mag.
Müjdat Çetin, Ivana Stojanovic, N. Özben Önhon, Kush R. Varshney, Sadegh Samadi, William Clement Karl, Alan S. Willsky
2014 A* conf
Stochastic Variational Inference for Bayesian Time Series Models.
ICML
Matthew James Johnson, Alan S. Willsky
2013 J jnl
A New Class of Upper Bounds on the Log Partition Function
CoRR
Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky
2013 — conf
Analyzing Hogwild Parallel Gaussian Gibbs Sampling.
NIPS
Matthew J. Johnson, James Saunderson, Alan S. Willsky
2013 J jnl
Bayesian nonparametric hidden semi-Markov models.
J. Mach. Learn. Res.
Matthew J. Johnson, Alan S. Willsky
2013 — conf
Diagonal and low-rank decompositions and fitting ellipsoids to random points.
CDC
James Saunderson, Pablo A. Parrilo, Alan S. Willsky
2013 — conf
Learning Gaussian Graphical Models with Observed or Latent FVSs.
NIPS
Ying Liu, Alan S. Willsky
2013 J jnl
Learning Gaussian Graphical Models with Observed or Latent FVSs.
CoRR
Ying Liu, Alan S. Willsky
2013 B conf
Recursive FMP for distributed inference in Gaussian graphical models.
ISIT
Ying Liu, Alan S. Willsky
2013 B conf
Sampling from Gaussian graphical models using subgraph perturbations.
ISIT
Ying Liu, Oliver Kosut, Alan S. Willsky
2012 J jnl
A Tree-Based Context Model for Object Recognition.
IEEE Trans. Pattern Anal. Mach. Intell.
Myung Jin Choi, Antonio Torralba, Alan S. Willsky
2012 J jnl
Context models and out-of-context objects.
Pattern Recognit. Lett.
Myung Jin Choi, Antonio Torralba, Alan S. Willsky
2012 J jnl
Convex Graph Invariants.
SIAM Rev.
Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky
2012 Misc conf
Convex graph invariants.
CISS
Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky
2012 J jnl
Diagonal and Low-Rank Matrix Decompositions, Correlation Matrices, and Ellipsoid Fitting.
SIAM J. Matrix Anal. Appl.
James Saunderson, Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky
2012 J jnl
Feedback Message Passing for Inference in Gaussian Graphical Models.
IEEE Trans. Signal Process.
Ying Liu, Venkat Chandrasekaran, Animashree Anandkumar, Alan S. Willsky
2012 J jnl
High-dimensional Gaussian graphical model selection: walk summability and local separation criterion.
J. Mach. Learn. Res.
Animashree Anandkumar, Vincent Y. F. Tan, Furong Huang, Alan S. Willsky
2012 J jnl
Rejoinder: Latent variable graphical model selection via convex optimization
CoRR
Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky
2012 J jnl
The Convex Geometry of Linear Inverse Problems.
Found. Comput. Math.
Venkat Chandrasekaran, Benjamin Recht, Pablo A. Parrilo, Alan S. Willsky
2012 J jnl
The Hierarchical Dirichlet Process Hidden Semi-Markov Model
CoRR
Matthew J. Johnson, Alan S. Willsky
2011 J jnl
A Large-Deviation Analysis of the Maximum-Likelihood Learning of Markov Tree Structures.
IEEE Trans. Inf. Theory
Vincent Y. F. Tan, Animashree Anandkumar, Lang Tong, Alan S. Willsky
2011 J jnl
Bayesian Nonparametric Inference of Switching Dynamic Linear Models.
IEEE Trans. Signal Process.
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, Alan S. Willsky
2011 J jnl
Belief Propagation and LP Relaxation for Weighted Matching in General Graphs.
IEEE Trans. Inf. Theory
Sujay Sanghavi, Dmitry M. Malioutov, Alan S. Willsky
2011 J jnl
Energy-Latency Tradeoff for In-Network Function Computation in Random Networks
CoRR
Paul N. Balister, Béla Bollobás, Animashree Anandkumar, Alan S. Willsky
2011 A* conf
Energy-latency tradeoff for in-network function computation in random networks.
INFOCOM
Paul Balister, Béla Bollobás, Animashree Anandkumar, Alan S. Willsky
2011 J jnl
Feedback Message Passing for Inference in Gaussian Graphical Models
CoRR
Ying Liu, Venkat Chandrasekaran, Animashree Anandkumar, Alan S. Willsky
2011 J jnl
High-Dimensional Gaussian Graphical Model Selection: Tractable Graph Families
CoRR
Animashree Anandkumar, Vincent Y. F. Tan, Alan S. Willsky
2011 — conf
High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions.
NIPS
Animashree Anandkumar, Vincent Y. F. Tan, Alan S. Willsky
2011 J jnl
High-Dimensional Structure Estimation in Ising Models: Tractable Graph Families
CoRR
Animashree Anandkumar, Vincent Y. F. Tan, Furong Huang, Alan S. Willsky
2011 J jnl
Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates.
J. Mach. Learn. Res.
Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky
2011 J jnl
Learning Latent Tree Graphical Models.
J. Mach. Learn. Res.
Myung Jin Choi, Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky
2011 J jnl
Linear Dimensionality Reduction for Margin-Based Classification: High-Dimensional Data and Sensor Networks.
IEEE Trans. Signal Process.
Kush R. Varshney, Alan S. Willsky
2011 J jnl
Rank-Sparsity Incoherence for Matrix Decomposition.
SIAM J. Optim.
Venkat Chandrasekaran, Sujay Sanghavi, Pablo A. Parrilo, Alan S. Willsky
2011 — conf
Sample complexity for topology estimation in networks of LTI systems.
CDC/ECC
Vincent Y. F. Tan, Alan S. Willsky
2011 — conf
Tree-structured statistical modeling via convex optimization.
CDC/ECC
James Saunderson, Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky
2010 J jnl
An Efficient Message-Passing Algorithm for Optimizing Decentralized Detection Networks.
IEEE Trans. Autom. Control.
O. Patrick Kreidl, Alan S. Willsky
2010 J jnl
Bayesian Nonparametric Methods for Learning Markov Switching Processes.
IEEE Signal Process. Mag.
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, Alan S. Willsky
2010 J jnl
Classification Using Geometric Level Sets.
J. Mach. Learn. Res.
Kush R. Varshney, Alan S. Willsky
2010 — conf
Consistent and efficient reconstruction of latent tree models.
Allerton
Myung Jin Choi, Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky
2010 J jnl
Convex Graph Invariants
CoRR
Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky
2010 B conf
Error exponents for composite hypothesis testing of Markov forest distributions.
ISIT
Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky
2010 A* conf
Exploiting hierarchical context on a large database of object categories.
CVPR
Myung Jin Choi, Joseph J. Lim, Antonio Torralba, Alan S. Willsky
2010 B conf
Feedback message passing for inference in gaussian graphical models.
ISIT
Ying Liu, Venkat Chandrasekaran, Animashree Anandkumar, Alan S. Willsky
2010 J jnl
Gaussian multiresolution models: exploiting sparse Markov and covariance structure.
IEEE Trans. Signal Process.
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Willsky
2010 — conf
Latent variable graphical model selection via convex optimization.
Allerton
Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky
2010 J jnl
Learning Gaussian tree models: analysis of error exponents and extremal structures.
IEEE Trans. Signal Process.
Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky
2010 J jnl
Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates
CoRR
Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky
2010 J jnl
Learning Latent Tree Graphical Models
CoRR
Myung Jin Choi, Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky
2010 J jnl
Learning graphical models for hypothesis testing and classification.
IEEE Trans. Signal Process.
Vincent Y. F. Tan, Sujay Sanghavi, John W. Fisher III, Alan S. Willsky
2010 B conf
Limit laws for random spatial graphical models.
ISIT
Animashree Anandkumar, Joseph E. Yukich, Alan S. Willsky
2010 B conf
Necessary and sufficient conditions for high-dimensional salient feature subset recovery.
ISIT
Vincent Y. F. Tan, Matthew J. Johnson, Alan S. Willsky
2010 J jnl
Nonparametric belief propagation.
Commun. ACM
Erik B. Sudderth, Alexander T. Ihler, Michael Isard, William T. Freeman, Alan S. Willsky
2010 J jnl
Paths Ahead in the Science of Information and Decision Systems [In the Spotlight].
IEEE Signal Process. Mag.
Alan S. Willsky
2010 — conf
Scaling laws for learning high-dimensional Markov forest distributions.
Allerton
Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky
2010 J jnl
Sequential Compressed Sensing
CoRR
Dmitry M. Malioutov, Sujay Sanghavi, Alan S. Willsky
2010 J jnl
Sequential Compressed Sensing.
IEEE J. Sel. Top. Signal Process.
Dmitry M. Malioutov, Sujay Sanghavi, Alan S. Willsky
2010 — conf
The Convex algebraic geometry of linear inverse problems.
Allerton
Venkat Chandrasekaran, Benjamin Recht, Pablo A. Parrilo, Alan S. Willsky
2010 A conf
The Hierarchical Dirichlet Process Hidden Semi-Markov Model.
UAI
Matthew J. Johnson, Alan S. Willsky
2009 J jnl
A Large-Deviation Analysis of the Maximum-Likelihood Learning of Markov Tree Structures
CoRR
Vincent Y. F. Tan, Animashree Anandkumar, Lang Tong, Alan S. Willsky
2009 B conf
A large-deviation analysis for the maximum likelihood learning of tree structures.
ISIT
Vincent Y. F. Tan, Animashree Anandkumar, Lang Tong, Alan S. Willsky
2009 C conf
An efficient message passing algorithm for multi-target tracking.
FUSION
Zhexu Chen, Lei Chen, Müjdat Çetin, Alan S. Willsky
2009 B conf
Detection error exponent for spatially dependent samples in random networks.
ISIT
Animashree Anandkumar, Alan S. Willsky, Lang Tong
2009 A* conf
Exploiting sparse Markov
ICML
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Willsky
2009 — conf
How do the structure and the parameters of Gaussian tree models affect structure learning?
Allerton
Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky
2009 J jnl
Learning Gaussian Tree Models: Analysis of Error Exponents and Extremal Structures
CoRR
Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky
2009 C conf
Learning dimensionality-reduced classifiers for information fusion.
FUSION
Kush R. Varshney, Alan S. Willsky
2009 C conf
Lessons learned in the creation of a data set for hard/soft information fusion.
FUSION
Marco A. Pravia, Olga Babko-Malaya, Michael K. Schneider, James V. White, Chee-Yee Chong, Alan S. Willsky
2009 J jnl
Message passing for maximum weight independent set.
IEEE Trans. Inf. Theory
Sujay Sanghavi, Devavrat Shah, Alan S. Willsky
2009 — conf
Message quantization in belief propagation: Structural results in the low-rate regime.
Allerton
O. Patrick Kreidl, Alan S. Willsky
2009 — conf
Sharing Features among Dynamical Systems with Beta Processes.
NIPS
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, Alan S. Willsky
2009 — conf
Sparse and low-rank matrix decompositions.
Allerton
Venkat Chandrasekaran, Sujay Sanghavi, Pablo A. Parrilo, Alan S. Willsky
2008 J jnl
A Recursive Model-Reduction Method for Approximate Inference in Gaussian Markov Random Fields.
IEEE Trans. Image Process.
Jason K. Johnson, Alan S. Willsky
2008 A* conf
An HDP-HMM for systems with state persistence.
ICML
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, Alan S. Willsky
2008 Misc conf
Compressed sensing with sequential observations.
ICASSP
Dmitry M. Malioutov, Sujay Sanghavi, Alan S. Willsky
2008 — conf
Decentralized detection with long-distance communication.
ACSCC
O. Patrick Kreidl, Alan S. Willsky
2008 J jnl
Describing Visual Scenes Using Transformed Objects and Parts.
Int. J. Comput. Vis.
Erik B. Sudderth, Antonio Torralba, William T. Freeman, Alan S. Willsky
2008 J jnl
Estimation in Gaussian Graphical Models Using Tractable Subgraphs: A Walk-Sum Analysis.
IEEE Trans. Signal Process.
Venkat Chandrasekaran, Jason K. Johnson, Alan S. Willsky
2008 Misc conf
Learning max-weight discriminative forests.
ICASSP
Vincent Y. F. Tan, John W. Fisher III, Alan S. Willsky
2008 J jnl
Learning the Dynamics and Time-Recursive Boundary Detection of Deformable Objects.
IEEE Trans. Image Process.
Walter Sun, Müjdat Çetin, Raymond C. Chan, Alan S. Willsky
2008 J jnl
Low-Rank Variance Approximation in GMRF Models: Single and Multiscale Approaches.
IEEE Trans. Signal Process.
Dmitry M. Malioutov, Jason K. Johnson, Myung Jin Choi, Alan S. Willsky
2008 — conf
MCMC curve sampling and geometric conditional simulation.
Computational Imaging
Ayres C. Fan, John W. Fisher III, Jonathan Kane, Alan S. Willsky
2008 Misc conf
Maximum entropy relaxation for multiscale graphical model selection.
ICASSP
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Willsky
2008 J jnl
Message-passing for Maximum Weight Independent Set
CoRR
Sujay Sanghavi, Devavrat Shah, Alan S. Willsky
2008 — conf
Networking sensors using belief propagation.
Allerton
Sujay Sanghavi, Dmitry Malioutov, Alan S. Willsky
2008 — conf
Nonparametric Bayesian Learning of Switching Linear Dynamical Systems.
NIPS
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, Alan S. Willsky
2008 — conf
Segmentation of the evolving left ventricle by learning the dynamics.
ISBI
Walter Sun, Müjdat Çetin, Raymond C. Chan, Alan S. Willsky
2008 J jnl
Sparse Representation in Structured Dictionaries With Application to Synthetic Aperture Radar.
IEEE Trans. Signal Process.
Kush R. Varshney, Müjdat Çetin, John W. Fisher III, Alan S. Willsky
2007 — conf
Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis.
NIPS
Venkat Chandrasekaran, Jason K. Johnson, Alan S. Willsky
2007 J jnl
Detection and Localization of Material Releases With Sparse Sensor Configurations.
IEEE Trans. Signal Process.
Emily B. Fox, John W. Fisher III, Alan S. Willsky
2007 A* conf
Fiber Tract Clustering on Manifolds With Dual Rooted-Graphs.
CVPR
Andy Tsai, Carl-Fredrik Westin, Alfred O. Hero III, Alan S. Willsky
2007 — conf
GMRF Variance Approximation using Splicedwavelet Bases.
ICASSP (3)
Dmitry M. Malioutov, Jason K. Johnson, Alan S. Willsky
2007 C conf
Hierarchical Dirichlet processes for tracking maneuvering targets.
FUSION
Emily B. Fox, Erik B. Sudderth, Alan S. Willsky
2007 C conf
Integrated fusion, performance prediction, and sensor management for automatic target exploitation AFOSR MURI.
FUSION
Erik Blasch, Randolph L. Moses, David A. Castañón, Alan S. Willsky, Alfred O. Hero III
2007 J jnl
Lagrangian Relaxation for MAP Estimation in Graphical Models
CoRR
Jason K. Johnson, Dmitry M. Malioutov, Alan S. Willsky
2007 A conf
Learning Markov Structure by Maximum Entropy Relaxation.
AISTATS
Jason K. Johnson, Venkat Chandrasekaran, Alan S. Willsky
2007 — conf
Linear programming analysis of loopy belief propagation for weighted matching.
NIPS
Sujay Sanghavi, Dmitry M. Malioutov, Alan S. Willsky
2007 — conf
Loop Series and Bethe Variational Bounds in Attractive Graphical Models.
NIPS
Erik B. Sudderth, Martin J. Wainwright, Alan S. Willsky
2007 — conf
MCMC Curve Sampling for Image Segmentation.
MICCAI (2)
Ayres C. Fan, John W. Fisher III, William M. Wells III, James J. Levitt, Alan S. Willsky
2007 — conf
Message Passing for Max-weight Independent Set.
NIPS
Sujay Sanghavi, Devavrat Shah, Alan S. Willsky
2007 J jnl
Nonparametric shape priors for active contour-based image segmentation.
Signal Process.
Junmo Kim, Müjdat Çetin, Alan S. Willsky
2007 A conf
Performance Guarantees for Information Theoretic Active Inference.
AISTATS
Jason L. Williams, John W. Fisher III, Alan S. Willsky
2007 — conf
Performance Guarantees for Information Theoretic Sensor Resource Management.
ICASSP (3)
Jason L. Williams, John W. Fisher III, Alan S. Willsky
2006 J jnl
A State-Space Analysis for Reconstruction of Goal-Directed Movements Using Neural Signals.
Neural Comput.
Lakshminarayan Srinivasan, Uri T. Eden, Alan S. Willsky, Emery N. Brown
2006 — conf
An Efficient Message-Passing Algorithm for Optimizing Decentralized Detection Networks.
CDC
O. Patrick Kreidl, Alan S. Willsky
2006 J jnl
Data association based on optimization in graphical models with application to sensor networks.
Math. Comput. Model.
Lei Chen, Martin J. Wainwright, Müjdat Çetin, Alan S. Willsky
2006 — conf
Depth from Familiar Objects: A Hierarchical Model for 3D Scenes.
CVPR (2)
Erik B. Sudderth, Antonio Torralba, William T. Freeman, Alan S. Willsky
2006 — conf
Detection and Localization of Material Releases with Sparse Sensor Configurations.
ICASSP (4)
Emily B. Fox, Jason L. Williams, John W. Fisher III, Alan S. Willsky
2006 J jnl
Distributed fusion in sensor networks.
IEEE Signal Process. Mag.
Müjdat Çetin, Lei Chen, John W. Fisher III, Alexander T. Ihler, Randolph L. Moses, Martin J. Wainwright, Alan S. Willsky
2006 C conf
Importance sampling actor-critic algorithms.
ACC
Jason L. Williams, John W. Fisher III, Alan S. Willsky
2006 — conf
Low-Rank Variance Estimation in Large-Scale Gmrf Models.
ICASSP (3)
Dmitry M. Malioutov, Jason K. Johnson, Alan S. Willsky
2006 J jnl
Variational approaches on discontinuity localization and field estimation in sea surface temperature and soil moisture.
IEEE Trans. Geosci. Remote. Sens.
Walter Sun, Müjdat Çetin, W. Carlisle Thacker, Toshio Mike Chin, Alan S. Willsky
2006 J jnl
Walk-Sums and Belief Propagation in Gaussian Graphical Models.
J. Mach. Learn. Res.
Dmitry M. Malioutov, Jason K. Johnson, Alan S. Willsky
2005 J jnl
A Nonparametric Statistical Method for Image Segmentation Using Information Theory and Curve Evolution.
IEEE Trans. Image Process.
Junmo Kim, John W. Fisher III, Anthony J. Yezzi, Müjdat Çetin, Alan S. Willsky
2005 J jnl
A multiscale approach to pixel-level image fusion.
Integr. Comput. Aided Eng.
A. Ben Hamza, Yun He, Hamid Krim, Alan S. Willsky
2005 J jnl
A new class of upper bounds on the log partition function.
IEEE Trans. Inf. Theory
Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky
2005 J jnl
A sparse signal reconstruction perspective for source localization with sensor arrays.
IEEE Trans. Signal Process.
Dmitry M. Malioutov, Müjdat Çetin, Alan S. Willsky
2005 J jnl
An EM algorithm for shape classification based on level sets.
Medical Image Anal.
Andy Tsai, William M. Wells III, Simon K. Warfield, Alan S. Willsky
2005 — conf
Describing Visual Scenes using Transformed Dirichlet Processes.
NIPS
Erik B. Sudderth, Antonio Torralba, William T. Freeman, Alan S. Willsky
2005 — conf
Estimating dependency and significance for high-dimensional data.
ICASSP (5)
Michael Siracusa, Kinh Tieu, Alexander T. Ihler, John W. Fisher III, Alan S. Willsky
2005 — conf
Homotopy continuation for sparse signal representation.
ICASSP (5)
Dmitry M. Malioutov, Müjdat Çetin, Alan S. Willsky
2005 — conf
Inference with Minimal Communication: a Decision-Theoretic Variational Approach.
NIPS
O. Patrick Kreidl, Alan S. Willsky
2005 A* conf
Learning Hierarchical Models of Scenes, Objects, and Parts.
ICCV
Erik B. Sudderth, Antonio Torralba, William T. Freeman, Alan S. Willsky
2005 J jnl
Loopy Belief Propagation: Convergence and Effects of Message Errors.
J. Mach. Learn. Res.
Alexander T. Ihler, John W. Fisher III, Alan S. Willsky
2005 J jnl
MAP estimation via agreement on (hyper)trees: Message-passing and linear programming
CoRR
Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky
2005 J jnl
MAP estimation via agreement on trees: message-passing and linear programming.
IEEE Trans. Inf. Theory
Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky
2005 J jnl
Nonlinear evolution equations as fast and exact solvers of estimation problems.
IEEE Trans. Signal Process.
Ilya Pollak, Alan S. Willsky, Yan Huang
2005 J jnl
Nonparametric belief propagation for self-localization of sensor networks.
IEEE J. Sel. Areas Commun.
Alexander T. Ihler, John W. Fisher III, Randolph L. Moses, Alan S. Willsky
2005 — conf
Nonparametric shape priors for active contour-based image segmentation.
EUSIPCO
Junmo Kim, Müjdat Çetin, Alan S. Willsky
2005 — conf
Optimization approaches to dynamic routing of measurements and models in a sensor network object tracking problem.
ICASSP (5)
Jason L. Williams, John W. Fisher III, Alan S. Willsky
2005 — conf
Segmenting and Tracking the Left Ventricle by Learning the Dynamics in Cardiac Images.
IPMI
Walter Sun, Müjdat Çetin, Raymond C. Chan, Vivek Y. Reddy, Godtfred Holmvang, Venkat Chandar, Alan S. Willsky
2005 — conf
Walk-Sum Interpretation and Analysis of Gaussian Belief Propagation.
NIPS
Jason K. Johnson, Dmitry M. Malioutov, Alan S. Willsky
2004 — conf
Distributed Occlusion Reasoning for Tracking with Nonparametric Belief Propagation.
NIPS
Erik B. Sudderth, Michael I. Mandel, William T. Freeman, Alan S. Willsky
2004 J jnl
Embedded trees: estimation of Gaussian Processes on graphs with cycles.
IEEE Trans. Signal Process.
Erik B. Sudderth, Martin J. Wainwright, Alan S. Willsky
2004 — conf
Level Set Methods in an EM Framework for Shape Classification and Estimation.
MICCAI (1)
Andy Tsai, William M. Wells III, Simon K. Warfield, Alan S. Willsky
2004 — conf
Message Errors in Belief Propagation.
NIPS
Alexander T. Ihler, John W. Fisher III, Alan S. Willsky
2004 J jnl
Mutual information in coupled multi-shape model for medical image segmentation.
Medical Image Anal.
Andy Tsai, William M. Wells III, Clare M. Tempany, Eric Grimson, Alan S. Willsky
2004 — conf
Nonparametric belief propagation for self-calibration in sensor networks.
IPSN
Alexander T. Ihler, John W. Fisher III, Randolph L. Moses, Alan S. Willsky
2004 — conf
Nonparametric belief propagation for sensor self-calibration.
ICASSP (3)
Alexander T. Ihler, John W. Fisher III, Randolph L. Moses, Alan S. Willsky
2004 J jnl
Nonparametric hypothesis tests for statistical dependency.
IEEE Trans. Signal Process.
Alexander T. Ihler, John W. Fisher III, Alan S. Willsky
2004 — conf
Optimal sparse representations in general overcomplete bases.
ICASSP (2)
Dmitry M. Malioutov, Müjdat Çetin, Alan S. Willsky
2004 J jnl
Tree consistency and bounds on the performance of the max-product algorithm and its generalizations.
Stat. Comput.
Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky
2004 — conf
Visual Hand Tracking Using Nonparametric Belief Propagation.
CVPR Workshops
Erik B. Sudderth, Michael I. Mandel, William T. Freeman, Alan S. Willsky
2003 J jnl
A Krylov Subspace Method for Covariance Approximation and Simulation of Random Processes and Fields.
Multidimens. Syst. Signal Process.
Michael K. Schneider, Alan S. Willsky
2003 J jnl
A Shape-Based Approach to the Segmentation of Medical Imagery Using Level Sets.
IEEE Trans. Medical Imaging
Andy Tsai, Anthony J. Yezzi, William M. Wells III, Clare M. Tempany, Dewey Tucker, Ayres C. Fan, W. Eric L. Grimson, Alan S. Willsky
2003 — conf
A Unified Variational Approach to Denoising and Bias Correction in MR.
IPMI
Ayres C. Fan, William M. Wells III, John W. Fisher III, Müjdat Çetin, Steven Haker, Robert V. Mulkern, Clare M. Tempany, Alan S. Willsky
2003 J jnl
A generalized Levinson algorithm for covariance extension with application to multiscale autoregressive modeling.
IEEE Trans. Inf. Theory
Austin B. Frakt, Hanoch Lev-Ari, Alan S. Willsky
2003 — conf
Coupled Multi-shape Model and Mutual Information for Medical Image Segmentation.
IPMI
Andy Tsai, William M. Wells III, Clare M. Tempany, W. Eric L. Grimson, Alan S. Willsky
2003 J jnl
Detection and Analysis of Anisotropic Scattering in SAR Data.
Multidimens. Syst. Signal Process.
Andrew J. Kim, John W. Fisher III, Alan S. Willsky
2003 — conf
Efficient Multiscale Sampling from Products of Gaussian Mixtures.
NIPS
Alexander T. Ihler, Erik B. Sudderth, William T. Freeman, Alan S. Willsky
2003 — conf
Hypothesis Testing over Factorizations for Data Association.
IPSN
Alexander T. Ihler, John W. Fisher III, Alan S. Willsky
2003 — conf
Incorporating complex statistical information in active contour-based image segmentation.
ICIP (2)
Junmo Kim, John W. Fisher III, Müjdat Çetin, Anthony J. Yezzi, Alan S. Willsky
2003 — conf
Nonparametric Belief Propagation.
CVPR (1)
Erik B. Sudderth, Alexander T. Ihler, William T. Freeman, Alan S. Willsky
2003 J jnl
Tree-based reparameterization framework for analysis of sum-product and related algorithms.
IEEE Trans. Inf. Theory
Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky
2003 A conf
Tree-reweighted belief propagation algorithms and approximate ML estimation by pseudo-moment matching.
AISTATS
Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky
2002 J jnl
A Fully Global Approach to Image Segmentation via Coupled Curve Evolution Equations.
J. Vis. Commun. Image Represent.
Anthony J. Yezzi Jr., Andy Tsai, Alan S. Willsky
2002 A conf
A New Class of upper Bounds on the Log Partition Function.
UAI
Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky
2002 — conf
A curve evolution-based variational approach to simultaneous image restoration and segmentation.
ICIP (1)
Junmo Kim, Andy Tsai, Müjdat Çetin, Alan S. Willsky
2002 Misc conf
A variational technique for source localization based on a sparse signal reconstruction perspective.
ICASSP
Müjdat Çetin, Dmitry M. Malioutov, Alan S. Willsky
2002 — conf
Edge-preserving image reconstruction for coherent imaging applications.
ICIP (2)
Müjdat Çetin, William Clement Karl, Alan S. Willsky
2002 — conf
Exact MAP Estimates by (Hyper)tree Agreement.
NIPS
Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky
2002 J jnl
Multiresolution Markov models for signal and image processing.
Proc. IEEE
Alan S. Willsky
2002 — conf
Nonparametric methods for image segmentation using information theory and curve evolution.
ICIP (3)
Junmo Kim, John W. Fisher III, Anthony J. Yezzi Jr., Müjdat Çetin, Alan S. Willsky
2002 J jnl
Statistical and Information-Theoretic Methods for Self-Organization and Fusion of Multimodal, Networked Sensors.
Int. J. High Perform. Comput. Appl.
John W. Fisher III, Martin J. Wainwright, Erik B. Sudderth, Alan S. Willsky
2001 J jnl
A canonical correlations approach to multiscale stochastic realization.
IEEE Trans. Autom. Control.
William W. Irving, Alan S. Willsky
2001 J jnl
Computationally Efficient Stochastic Realization for Internal Multiscale Autoregressive Models.
Multidimens. Syst. Signal Process.
Austin B. Frakt, Alan S. Willsky
2001 J jnl
Computationally efficient steady-state multiscale estimation for 1-D diffusion processes.
Autom.
Terrence T. Ho, Paul W. Fieguth, Alan S. Willsky
2001 J jnl
Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification.
IEEE Trans. Image Process.
Andy Tsai, Anthony J. Yezzi Jr., Alan S. Willsky
2001 — conf
Estimating surface reflectance properties from images under unknown illumination.
Human Vision and Electronic Imaging
Ron O. Dror, Edward H. Adelson, Alan S. Willsky
2001 J jnl
Krylov Subspace Estimation.
SIAM J. Sci. Comput.
Michael K. Schneider, Alan S. Willsky
2001 — conf
Model-Based Curve Evolution Technique for Image Segmentation.
CVPR (1)
Andy Tsai, Anthony J. Yezzi, William M. Wells III, Clare M. Tempany, Dewey Tucker, Ayres C. Fan, W. Eric L. Grimson, Alan S. Willsky
2001 Misc conf
Nonparametric estimators for online signature authentication.
ICASSP
Alexander T. Ihler, John W. Fisher III, Alan S. Willsky
2001 — conf
Statistics of Real-World Illumination.
CVPR (2)
Ron O. Dror, Thomas K. Leung, Edward H. Adelson, Alan S. Willsky
2001 — conf
Tree-based reparameterization for approximate inference on loopy graphs.
NIPS
Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky
2000 A conf
A Curve Evolution Approach to Medical Image Magnification via the Mumford-Shah Functional.
MICCAI
Andy Tsai, Anthony J. Yezzi, Alan S. Willsky
2000 A* conf
A Curve Evolution Approach to Smoothing and Segmentation Using the Mumford-Shah Functional.
CVPR
Andy Tsai, Anthony J. Yezzi, Alan S. Willsky
2000 B conf
Curve Evolution, Boundary-Value Stochastic Processes, the Mumford-Shah Problem, and Missing Data Applications.
ICIP
Andy Tsai, Anthony J. Yezzi, Alan S. Willsky
2000 J jnl
Image segmentation and edge enhancement with stabilized inverse diffusion equations.
IEEE Trans. Image Process.
Ilya Pollak, Alan S. Willsky, Hamid Krim
2000 A conf
Incorporating Spatial Priors into an Information Theoretic Approach for
MICCAI
Junmo Kim, John W. Fisher III, Andy Tsai, Cindy Wible, Alan S. Willsky, William M. Wells III
2000 J jnl
Multiscale methods for the segmentation and reconstruction of signals and images.
IEEE Trans. Image Process.
Michael K. Schneider, Paul W. Fieguth, William Clement Karl, Alan S. Willsky
2000 B conf
Random Cascades of Gaussian Scale Mixtures and Their Use in Modeling Natural Images With Application to Denoising.
ICIP
Martin J. Wainwright, Eero P. Simoncelli, Alan S. Willsky
2000 — conf
Tree-Based Modeling and Estimation of Gaussian Processes on Graphs with Cycles.
NIPS
Martin J. Wainwright, Erik B. Sudderth, Alan S. Willsky
1999 Misc conf
A Krylov subspace method for large estimation problems.
ICASSP
Michael K. Schneider, Alan S. Willsky
1999 A* conf
A Statistical Approach to Snakes for Bimodal and Trimodal Imagery.
ICCV
Anthony J. Yezzi, Andy Tsai, Alan S. Willsky
1999 Misc conf
A nonlinear diffusion equation as a fast and optimal solver of edge detection problems.
ICASSP
Ilya Pollak, Alan S. Willsky, Hamid Krim
1999 A conf
Analysis of Functional MRI Data Using Mutual Information.
MICCAI
Andy Tsai, John W. Fisher III, Cindy Wible, William M. Wells III, Junmo Kim, Alan S. Willsky
1999 — conf
Binary and Ternary Flows for Image Segmentation.
ICIP (2)
Anthony J. Yezzi, Andy Tsai, Alan S. Willsky
1999 J jnl
Multiscale Autoregressive Models and Wavelets.
IEEE Trans. Inf. Theory
Khalid Daoudi, Austin B. Frakt, Alan S. Willsky
1999 — conf
Recursive Multiscale Estimation of Space-Time Random Fields.
ICIP (2)
Terrence T. Ho, Paul W. Fieguth, Alan S. Willsky
1999 J jnl
Silhouette recognition using high-resolution pursuit.
Pattern Recognit.
Seema Jaggi, William Clement Karl, Stéphane Mallat, Alan S. Willsky
1999 J jnl
The Modeling and Estimation of Statistically Self-Similar Processes in a Multiresolution Framework.
IEEE Trans. Inf. Theory
Michael M. Daniel, Alan S. Willsky
1998 J jnl
A multiscale hypothesis testing approach to anomaly detection and localization from noisy tomographic data.
IEEE Trans. Image Process.
Austin B. Frakt, William Clement Karl, Alan S. Willsky
1998 — conf
An Estimation-Theoretic Technique for Motion-Compensated Synthetic-Aperture Array Imaging.
ICIP (1)
Cedric L. Logan, Hamid Krim, Alan S. Willsky
1998 — conf
Computationally Efficient Multiscale Estimation of Large-Scale Dynamic Systems.
ICIP (3)
Terrence T. Ho, Paul W. Fieguth, Alan S. Willsky
1998 J jnl
Efficient Multiresolution Counterparts to Variational Methods for Surface Reconstruction.
Comput. Vis. Image Underst.
Paul W. Fieguth, William Clement Karl, Alan S. Willsky
1998 Misc conf
Efficient multiscale stochastic realization.
ICASSP
Austin B. Frakt, Alan S. Willsky
1998 B conf
Mobile agents in adaptive hierarchical Bayesian networks for global awareness.
SMC
Kenneth N. Ross, Ronald D. Chaney, George V. Cybenko, Daniel J. Burroughs, Alan S. Willsky
1998 — conf
Stabilized Inverse Diffusion Equations and Segmentation of Vector-Valued Images.
ICIP (3)
Ilya Pollak, Hamid Krim, Alan S. Willsky
1997 — conf
A Recursive Estimation Approach to the Segmentation of MR Imagery.
ICIP (2)
John P. Kaufhold, Michael K. Schneider, William Clement Karl, Alan S. Willsky
1997 J jnl
A Statistical Method for Efficient Segmentation of MR Imagery.
Int. J. Pattern Recognit. Artif. Intell.
John P. Kaufhold, Michael K. Schneider, Alan S. Willsky, William Clement Karl
1997 J jnl
A multiresolution methodology for signal-level fusion and data assimilation with applications to remote sensing.
Proc. IEEE
Michael M. Daniel, Alan S. Willsky
1997 J jnl
An overlapping tree approach to multiscale stochastic modeling and estimation.
IEEE Trans. Image Process.
William W. Irving, Paul W. Fieguth, Alan S. Willsky
1997 J jnl
Low complexity optimal joint detection for oversaturated multiple access communications.
IEEE Trans. Signal Process.
Rachel E. Learned, Alan S. Willsky, Don M. Boroson
1997 J jnl
Multiscale segmentation and anomaly enhancement of SAR imagery.
IEEE Trans. Image Process.
Charles H. Fosgate, Hamid Krim, William W. Irving, William Clement Karl, Alan S. Willsky
1997 J jnl
Multiscale, Statistical Anomaly Detection Analysis and Algorithms for Linearized Inverse Scattering Problems.
Multidimens. Syst. Signal Process.
Eric L. Miller, Alan S. Willsky
1997 — conf
Scale Space Analysis by Stabilized Inverse Diffusion Equations.
Scale-Space
Ilya Pollak, Alan S. Willsky, Hamid Krim
1997 — conf
Segmentation and Compression of SAR Imagery via Hierarchical Stochastic Modelling.
ICIP (3)
Andrew J. Kim, Hamid Krim, Alan S. Willsky
1997 J jnl
Tomographic reconstruction and estimation based on multiscale natural-pixel bases.
IEEE Trans. Image Process.
Mickey Bhatia, William Clement Karl, Alan S. Willsky
1996 — conf
A general multiresolution approach to the estimation of dense fields in remote sensing.
ICIP (2)
Paul W. Fieguth, Alan S. Willsky, Dimitris Menemenlis, Carl Wunsch
1996 J jnl
A moment-based variational approach to tomographic reconstruction.
IEEE Trans. Image Process.
Peyman Milanfar, William Clement Karl, Alan S. Willsky
1996 J jnl
A multiscale, statistically based inversion scheme for linearized inverse scattering problems.
IEEE Trans. Geosci. Remote. Sens.
Eric Lawrence Miller, Alan S. Willsky
1996 J jnl
A wavelet-based method for multiscale tomographic reconstruction.
IEEE Trans. Medical Imaging
Mickey Bhatia, William Clement Karl, Alan S. Willsky
1996 J jnl
Fractal estimation using models on multiscale trees.
IEEE Trans. Signal Process.
Paul W. Fieguth, Alan S. Willsky
1996 J jnl
Local tests for consistency of support hyperplane data.
J. Math. Imaging Vis.
William Clement Karl, Sanjeev R. Kulkarni, George C. Verghese, Alan S. Willsky
1996 Misc conf
Low complexity optimal multiple access joint detection for linearly dependent user sets.
ICASSP
Rachel E. Learned, Alan S. Willsky
1996 Misc conf
Multiresolution stochastic models for the efficient solution of large-scale space-time estimation problems.
ICASSP
Terrence T. Ho, Paul W. Fieguth, Alan S. Willsky
1996 — conf
Multiscale hypothesis testing with application to anomaly characterization from tomographic projections.
ICIP (2)
Austin B. Frakt, Alan S. Willsky, W. Clem Karl
1996 Misc conf
Multiscale methods for the segmentation of images.
ICASSP
Michael K. Schneider, Paul W. Fieguth, William Clement Karl, Alan S. Willsky
1996 — conf
Multiscale segmentation and anomaly enhancement of SAR imagery.
ICIP (3)
Charles H. Fosgate, Hamid Krim, Alan S. Willsky, William Clement Karl
1996 J jnl
Tomographic Reconstruction of Polygons from Knot Location and Chord Length Measurements.
CVGIP Graph. Model. Image Process.
Lori Belcastro, William Clement Karl, Alan S. Willsky
1995 J jnl
A distributed and iterative method for square root filtering in space-time estimation.
Autom.
Toshio Mike Chin, William Clement Karl, Alan S. Willsky
1995 B conf
A multi-resolution approach for imaging hydraulic conductivity.
ICIP
Michael M. Daniel, Alan S. Willsky, Dennis McLaughlin, David J. Rossi
1995 Misc conf
Best basis algorithm for signal enhancement.
ICASSP
Hamid Krim, Stéphane Mallat, David L. Donoho, Alan S. Willsky
1995 J jnl
Estimation of dynamically evolving ellipsoids with applications to medical imaging.
IEEE Trans. Medical Imaging
Seema Jaggi, William Clement Karl, Alan S. Willsky
1995 Misc conf
Geometric interpretation of multiaccess joint detection and the alternating projection algorithm.
ICASSP
Rachel E. Learned, Stéphane Mallat, Bernhard Claus, Alan S. Willsky
1995 J jnl
Likelihood calculation for a class of multiscale stochastic models, with application to texture discrimination.
IEEE Trans. Image Process.
Mark R. Luettgen, Alan S. Willsky
1995 B conf
Multiresolution model development for overlapping trees via canonical correlation analysis.
ICIP
Paul W. Fieguth, William W. Irving, Alan S. Willsky
1995 J jnl
Multiresolution optimal interpolation and statistical analysis of TOPEX/POSEIDON satellite altimetry.
IEEE Trans. Geosci. Remote. Sens.
Paul W. Fieguth, William Clement Karl, Alan S. Willsky, Carl Wunsch
1995 Misc conf
Multiresolution statistical analysis and assimilation of large ocean data sets.
ICASSP
Paul W. Fieguth, William Clement Karl, Alan S. Willsky
1995 — conf
Multiscale geometrical feature extraction and object recognition with wavelets and morphology.
ICIP (3)
Seema Jaggi, Alan S. Willsky, William Clement Karl, Stéphane Mallat
1995 J jnl
Multiscale smoothing error models.
IEEE Trans. Autom. Control.
Mark R. Luettgen, Alan S. Willsky
1995 J jnl
Reconstructing polygons from moments with connections to array processing.
IEEE Trans. Signal Process.
Peyman Milanfar, George C. Verghese, William Clement Karl, Alan S. Willsky
1994 J jnl
Efficient multiscale regularization with applications to the computation of optical flow.
IEEE Trans. Image Process.
Mark R. Luettgen, William Clement Karl, Alan S. Willsky
1994 — conf
Modeling and Estimation for a Class of Multiresolution Random Fields.
ICIP (3)
Peyman Milanfar, Robert R. Tenney, Robert B. Washburn, Alan S. Willsky
1994 — conf
Moment-Based Geometric Image Reconstruction.
ICIP (2)
Peyman Milanfar, William Clement Karl, Alan S. Willsky
1994 — conf
Multiresolution Stochastic Imaging of Satellite Oceanographic Altimetric Data.
ICIP (2)
Paul W. Fieguth, Alan S. Willsky, William Clement Karl
1994 J jnl
Multiscale recursive estimation, data fusion, and regularization.
IEEE Trans. Autom. Control.
Kenneth C. Chou, Alan S. Willsky, Albert Benveniste
1994 J jnl
Multiscale systems, Kalman filters, and Riccati equations.
IEEE Trans. Autom. Control.
Kenneth C. Chou, Alan S. Willsky, Ramine Nikoukhah
1994 J jnl
Probabilistic and sequential computation of optical flow using temporal coherence.
IEEE Trans. Image Process.
Toshio Mike Chin, William Clement Karl, Alan S. Willsky
1994 J jnl
Reconstructing Binary Polygonal Objects from Projections: A Statistical View.
CVGIP Graph. Model. Image Process.
Peyman Milanfar, William Clement Karl, Alan S. Willsky
1994 J jnl
Reconstructing Ellipsoids from Projections.
CVGIP Graph. Model. Image Process.
William Clement Karl, George C. Verghese, Alan S. Willsky
1994 — conf
Wavelet-Based Multiscale Stochastic Models for Efficient Tomographic Discrimination of Fractal Fields.
ICIP (2)
Mickey Bhatia, William Clement Karl, Alan S. Willsky
1993 J jnl
Hierarchical reconstruction using geometry and sinogram restoration.
IEEE Trans. Image Process.
Jerry L. Prince, Alan S. Willsky
1993 J jnl
Multiresolution stochastic models, data fusion, and wavelet transforms.
Signal Process.
Kenneth C. Chou, Stuart A. Golden, Alan S. Willsky
1993 — conf
Multiscale representations of Markov random fields.
ICASSP (5)
Mark R. Luettgen, W. Clem Karl, Alan S. Willsky, Robert R. Tenney
1993 J jnl
Multiscale representations of Markov random fields.
IEEE Trans. Signal Process.
Mark R. Luettgen, William Clement Karl, Alan S. Willsky, Robert R. Tenney
1992 J jnl
Aggregation and multi-level control in discrete event dynamic systems.
Autom.
Cüneyt M. Özveren, Alan S. Willsky
1992 J jnl
Introduction to the special issue on wavelet transforms and multiresolution signal analysis.
IEEE Trans. Inf. Theory
Ingrid Daubechies, Stéphane Mallat, Alan S. Willsky
1992 J jnl
Invertibility of Discrete-Event Dynamic Systems.
Math. Control. Signals Syst.
Cüneyt M. Özveren, Alan S. Willsky
1992 J jnl
Modeling and estimation of multiresolution stochastic processes.
IEEE Trans. Inf. Theory
Michèle Basseville, Albert Benveniste, Kenneth C. Chou, Stuart A. Golden, Ramine Nikoukhah, Alan S. Willsky
1992 J jnl
Multiscale autoregressive processes. I. Schur-Levinson parametrizations.
IEEE Trans. Signal Process.
Michèle Basseville, Albert Benveniste, Alan S. Willsky
1992 J jnl
Multiscale autoregressive processes. II. Lattice structures for whitening and modeling.
IEEE Trans. Signal Process.
Michèle Basseville, Albert Benveniste, Alan S. Willsky
1992 — conf
Opportunities and Challenges in Signal Processing and Analysis.
25th Anniversary of INRIA
Alan S. Willsky
1992 J jnl
Sequential filtering for multi-frame visual reconstruction.
Signal Process.
Toshio Mike Chin, William Clement Karl, Alan S. Willsky
1991 J jnl
Convex set reconstruction using prior shape information.
CVGIP Graph. Model. Image Process.
Jerry L. Prince, Alan S. Willsky
1991 J jnl
Internal models and recursive estimation for 2-D isotropic random fields.
IEEE Trans. Inf. Theory
Ahmed H. Tewfik, Bernard C. Levy, Alan S. Willsky
1991 Misc conf
Modeling and estimation of multiscale stochastic processes.
ICASSP
Kenneth C. Chou, Stuart A. Golden, Alan S. Willsky
1991 J jnl
Stability and Stabilizability of Discrete Event Dynamic Systems.
J. ACM
Cüneyt M. Özveren, Alan S. Willsky, Panos J. Antsaklis
1990 J jnl
Reconstructing Convex Sets from Support Line Measurements.
IEEE Trans. Pattern Anal. Mach. Intell.
Jerry L. Prince, Alan S. Willsky
1989 Misc conf
A hierarchical algorithm for limited-angle reconstruction.
ICASSP
Jerry L. Prince, Alan S. Willsky
1988 Misc conf
A projection space map method for limited angle reconstruction.
ICASSP
Jerry L. Prince, Alan S. Willsky
1988 Misc conf
An efficient maximum entropy technique for 2-D isotropic random fields.
ICASSP
Ahmed H. Tewfik, Bernard C. Levy, Alan S. Willsky
1988 J jnl
An efficient maximum entropy technique for 2-D isotropic random fields.
IEEE Trans. Acoust. Speech Signal Process.
Ahmed H. Tewfik, Bernard C. Levy, Alan S. Willsky
1988 J jnl
Eigenstructure approach for array processing with unknown intensity coefficients.
IEEE Trans. Acoust. Speech Signal Process.
Anthony J. Weiss, Alan S. Willsky, Bernard C. Levy
1988 J jnl
Maximum likelihood array processing for the estimation of superimposed signals.
Proc. IEEE
Antony J. Weiss, Alan S. Willsky, Bernard C. Levy
1988 J jnl
Sampling theorems for two-dimensional isotropic random fields.
IEEE Trans. Inf. Theory
Ahmed H. Tewfik, Bernard C. Levy, Alan S. Willsky
1988 J jnl
The reduction of perturbed Markov generators: an algorithm exposing the role of transient states.
J. ACM
Jan Robin Rohlicek, Alan S. Willsky
1986 J jnl
Optimally robust redundancy relations for failure detection in uncertain systems.
Autom.
Xi-Cheng Lou, Alan S. Willsky, George C. Verghese
1986 J jnl
Smoothing error dynamics and their use in the solution of smoothing and mapping problems.
IEEE Trans. Inf. Theory
Martin G. Bello, Alan S. Willsky, Bernard C. Levy, David A. Castañón
1984 Misc conf
Maximum likelihood estimation of object size and orientation from projection data.
ICASSP
David J. Rossi, Alan S. Willsky
1983 J jnl
A scattering framework for decentralized estimation problems.
Autom.
Bernard C. Levy, David A. Castañón, George C. Verghese, Alan S. Willsky
1983 Misc conf
Reconstruction from projections based on detection and estimation of objects.
ICASSP
David J. Rossi, Alan S. Willsky
1978 J jnl
On the Algebraic Structure of Certain Partially Observable Finite-State Markov Processes
Inf. Control.
Alan S. Willsky
1976 J jnl
A survey of design methods for failure detection in dynamic systems.
Autom.
Alan S. Willsky
1975 J jnl
Estimation and detection of signals in multiplicative noise (Corresp.).
IEEE Trans. Inf. Theory
Alan S. Willsky
1975 J jnl
Invertibility of Finite Group Homomorphic Sequential Systems
Inf. Control.
Alan S. Willsky
1974 J jnl
Fourier series and estimation on the circle with applications to synchronous communication-I: Analysis.
IEEE Trans. Inf. Theory
Alan S. Willsky
1974 J jnl
Fourier series and estimation on the circle with applications to synchronous communication-II: Implementation.
IEEE Trans. Inf. Theory
Alan S. Willsky
1974 — conf
Some structural properties of automata defined on groups.
Category Theory Applied to Computation and Control
Roger W. Brockett, Alan S. Willsky