Alan S. Willsky

Martin J. Wainwright, Tommi Jaakkola, Alan S. Willsky: A New Class of Upper Bounds on the Log Partition Function. CoRR abs/1301.0610 (2013)

Venkat Chandrasekaran, Benjamin Recht, Pablo A. Parrilo, Alan S. Willsky: The Convex Geometry of Linear Inverse Problems. Foundations of Computational Mathematics 12(6): 805-849 (2012)

Myung Jin Choi, Antonio Torralba, Alan S. Willsky: A Tree-Based Context Model for Object Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 34(2): 240-252 (2012)

Myung Jin Choi, Antonio Torralba, Alan S. Willsky: Context models and out-of-context objects. Pattern Recognition Letters 33(7): 853-862 (2012)

James Saunderson, Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky: Diagonal and Low-Rank Matrix Decompositions, Correlation Matrices, and Ellipsoid Fitting. SIAM J. Matrix Analysis Applications 33(4): 1395-1416 (2012)

Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky: Convex Graph Invariants. SIAM Review 54(3): 513-541 (2012)

Ying Liu, Venkat Chandrasekaran, Animashree Anandkumar, Alan S. Willsky: Feedback Message Passing for Inference in Gaussian Graphical Models. IEEE Transactions on Signal Processing 60(8): 4135-4150 (2012)

Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky: Convex graph invariants. CISS 2012: 1-6

Matthew J. Johnson, Alan S. Willsky: The Hierarchical Dirichlet Process Hidden Semi-Markov Model. CoRR abs/1203.3485 (2012)

Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky: Rejoinder: Latent variable graphical model selection via convex optimization. CoRR abs/1211.0835 (2012)

Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky: Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates. Journal of Machine Learning Research 12: 1617-1653 (2011)

Myung Jin Choi, Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky: Learning Latent Tree Graphical Models. Journal of Machine Learning Research 12: 1771-1812 (2011)

Venkat Chandrasekaran, Sujay Sanghavi, Pablo A. Parrilo, Alan S. Willsky: Rank-Sparsity Incoherence for Matrix Decomposition. SIAM Journal on Optimization 21(2): 572-596 (2011)

Vincent Y. F. Tan, Animashree Anandkumar, Lang Tong, Alan S. Willsky: A Large-Deviation Analysis of the Maximum-Likelihood Learning of Markov Tree Structures. IEEE Transactions on Information Theory 57(3): 1714-1735 (2011)

Sujay Sanghavi, Dmitry M. Malioutov, Alan S. Willsky: Belief Propagation and LP Relaxation for Weighted Matching in General Graphs. IEEE Transactions on Information Theory 57(4): 2203-2212 (2011)

Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, Alan S. Willsky: Bayesian Nonparametric Inference of Switching Dynamic Linear Models. IEEE Transactions on Signal Processing 59(4): 1569-1585 (2011)

Kush R. Varshney, Alan S. Willsky: Linear Dimensionality Reduction for Margin-Based Classification: High-Dimensional Data and Sensor Networks. IEEE Transactions on Signal Processing 59(6): 2496-2512 (2011)

Vincent Y. F. Tan, Alan S. Willsky: Sample complexity for topology estimation in networks of LTI systems. CDC-ECE 2011: 187-192

James Saunderson, Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky: Tree-structured statistical modeling via convex optimization. CDC-ECE 2011: 2883-2888

Paul Balister, Béla Bollobás, Animashree Anandkumar, Alan S. Willsky: Energy-latency tradeoff for in-network function computation in random networks. INFOCOM 2011: 1575-1583

Animashree Anandkumar, Vincent Y. F. Tan, Alan S. Willsky: High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions. NIPS 2011: 1863-1871

Paul N. Balister, Béla Bollobás, Animashree Anandkumar, Alan S. Willsky: Energy-Latency Tradeoff for In-Network Function Computation in Random Networks. CoRR abs/1101.0858 (2011)

Ying Liu, Venkat Chandrasekaran, Animashree Anandkumar, Alan S. Willsky: Feedback Message Passing for Inference in Gaussian Graphical Models. CoRR abs/1105.1853 (2011)

Animashree Anandkumar, Vincent Y. F. Tan, Alan S. Willsky: High-Dimensional Gaussian Graphical Model Selection: Tractable Graph Families. CoRR abs/1107.1270 (2011)

Animashree Anandkumar, Vincent Y. F. Tan, Alan S. Willsky: High-Dimensional Structure Estimation in Ising Models: Tractable Graph Families. CoRR abs/1107.1736 (2011)

Erik B. Sudderth, Alexander T. Ihler, Michael Isard, William T. Freeman, Alan S. Willsky: Nonparametric belief propagation. Commun. ACM 53(10): 95-103 (2010)

Kush R. Varshney, Alan S. Willsky: Classification Using Geometric Level Sets. Journal of Machine Learning Research 11: 491-516 (2010)

Dmitry M. Malioutov, Sujay Sanghavi, Alan S. Willsky: Sequential Compressed Sensing. J. Sel. Topics Signal Processing 4(2): 435-444 (2010)

O. Patrick Kreidl, Alan S. Willsky: An Efficient Message-Passing Algorithm for Optimizing Decentralized Detection Networks. IEEE Trans. Automat. Contr. 55(3): 563-578 (2010)

Myung Jin Choi, Venkat Chandrasekaran, Alan S. Willsky: Gaussian multiresolution models: exploiting sparse Markov and covariance structure. IEEE Transactions on Signal Processing 58(3): 1012-1024 (2010)

Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky: Learning Gaussian tree models: analysis of error exponents and extremal structures. IEEE Transactions on Signal Processing 58(5): 2701-2714 (2010)

Vincent Y. F. Tan, Sujay Sanghavi, John W. Fisher III, Alan S. Willsky: Learning graphical models for hypothesis testing and classification. IEEE Transactions on Signal Processing 58(11): 5481-5495 (2010)

Myung Jin Choi, Joseph J. Lim, Antonio Torralba, Alan S. Willsky: Exploiting hierarchical context on a large database of object categories. CVPR 2010: 129-136

Vincent Y. F. Tan, Matthew Johnson, Alan S. Willsky: Necessary and sufficient conditions for high-dimensional salient feature subset recovery. ISIT 2010: 1388-1392

Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky: Error exponents for composite hypothesis testing of Markov forest distributions. ISIT 2010: 1613-1617

Ying Liu, Venkat Chandrasekaran, Animashree Anandkumar, Alan S. Willsky: Feedback message passing for inference in gaussian graphical models. ISIT 2010: 1683-1687

Animashree Anandkumar, Joseph E. Yukich, Alan S. Willsky: Limit laws for random spatial graphical models. ISIT 2010: 1728-1732

Matthew Johnson, Alan S. Willsky: The Hierarchical Dirichlet Process Hidden Semi-Markov Model. UAI 2010: 252-259

Dmitry M. Malioutov, Sujay Sanghavi, Alan S. Willsky: Sequential Compressed Sensing. CoRR abs/1003.0219 (2010)

Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky: Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates. CoRR abs/1005.0766 (2010)

Myung Jin Choi, Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky: Learning Latent Tree Graphical Models. CoRR abs/1009.2722 (2010)

Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky: Convex Graph Invariants. CoRR abs/1012.0623 (2010)

Sujay Sanghavi, Devavrat Shah, Alan S. Willsky: Message passing for maximum weight independent set. IEEE Transactions on Information Theory 55(11): 4822-4834 (2009)

Myung Jin Choi, Venkat Chandrasekaran, Alan S. Willsky: Exploiting sparse Markov and covariance structure in multiresolution models. ICML 2009: 23

Vincent Y. F. Tan, Animashree Anandkumar, Lang Tong, Alan S. Willsky: A large-deviation analysis for the maximum likelihood learning of tree structures. ISIT 2009: 1140-1144

Animashree Anandkumar, Alan S. Willsky, Lang Tong: Detection error exponent for spatially dependent samples in random networks. ISIT 2009: 2882-2886

Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, Alan S. Willsky: Sharing Features among Dynamical Systems with Beta Processes. NIPS 2009: 549-557

Vincent Y. F. Tan, Animashree Anandkumar, Lang Tong, Alan S. Willsky: A Large-Deviation Analysis of the Maximum-Likelihood Learning of Markov Tree Structures. CoRR abs/0905.0940 (2009)

Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky: Learning Gaussian Tree Models: Analysis of Error Exponents and Extremal Structures. CoRR abs/0909.5216 (2009)

Erik B. Sudderth, Antonio Torralba, William T. Freeman, Alan S. Willsky: Describing Visual Scenes Using Transformed Objects and Parts. International Journal of Computer Vision 77(1-3): 291-330 (2008)

Jason K. Johnson, Alan S. Willsky: A Recursive Model-Reduction Method for Approximate Inference in Gaussian Markov Random Fields. IEEE Transactions on Image Processing 17(1): 70-83 (2008)

Walter Sun, Müjdat Çetin, Raymond C. Chan, Alan S. Willsky: Learning the Dynamics and Time-Recursive Boundary Detection of Deformable Objects. IEEE Transactions on Image Processing 17(11): 2186-2200 (2008)

Venkat Chandrasekaran, Jason K. Johnson, Alan S. Willsky: Estimation in Gaussian Graphical Models Using Tractable Subgraphs: A Walk-Sum Analysis. IEEE Transactions on Signal Processing 56(5): 1916-1930 (2008)

Kush R. Varshney, Müjdat Çetin, John W. Fisher III, Alan S. Willsky: Sparse Representation in Structured Dictionaries With Application to Synthetic Aperture Radar. IEEE Transactions on Signal Processing 56(8-1): 3548-3561 (2008)

Dmitry M. Malioutov, Jason K. Johnson, Myung Jin Choi, Alan S. Willsky: Low-Rank Variance Approximation in GMRF Models: Single and Multiscale Approaches. IEEE Transactions on Signal Processing 56(10-1): 4621-4634 (2008)

Ayres C. Fan, John W. Fisher III, Jonathan Kane, Alan S. Willsky: MCMC curve sampling and geometric conditional simulation. Computational Imaging 2008: 681407

Vincent Y. F. Tan, John W. Fisher III, Alan S. Willsky: Learning max-weight discriminative forests. ICASSP 2008: 1877-1880

Myung Jin Choi, Venkat Chandrasekaran, Alan S. Willsky: Maximum entropy relaxation for multiscale graphical model selection. ICASSP 2008: 1889-1892

Dmitry M. Malioutov, Sujay Sanghavi, Alan S. Willsky: Compressed sensing with sequential observations. ICASSP 2008: 3357-3360

Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, Alan S. Willsky: An HDP-HMM for systems with state persistence. ICML 2008: 312-319

Walter Sun, Müjdat Çetin, Raymond C. Chan, Alan S. Willsky: Segmentation of the evolving left ventricle by learning the dynamics. ISBI 2008: 229-232

Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, Alan S. Willsky: Nonparametric Bayesian Learning of Switching Linear Dynamical Systems. NIPS 2008: 457-464

Sujay Sanghavi, Devavrat Shah, Alan S. Willsky: Message-passing for Maximum Weight Independent Set. CoRR abs/0807.5091 (2008)

Jason K. Johnson, Venkat Chandrasekaran, Alan S. Willsky: Learning Markov Structure by Maximum Entropy Relaxation. Journal of Machine Learning Research - Proceedings Track 2: 203-210 (2007)

Jason L. Williams, John W. Fisher III, Alan S. Willsky: Performance Guarantees for Information Theoretic Active Inference. Journal of Machine Learning Research - Proceedings Track 2: 620-627 (2007)

Junmo Kim, Müjdat Çetin, Alan S. Willsky: Nonparametric shape priors for active contour-based image segmentation. Signal Processing 87(12): 3021-3044 (2007)

Emily B. Fox, John W. Fisher III, Alan S. Willsky: Detection and Localization of Material Releases With Sparse Sensor Configurations. IEEE Transactions on Signal Processing 55(5-1): 1886-1898 (2007)

Andy Tsai, Carl-Fredrik Westin, Alfred O. Hero, Alan S. Willsky: Fiber Tract Clustering on Manifolds With Dual Rooted-Graphs. CVPR 2007

Ayres C. Fan, John W. Fisher III, William M. Wells III, James J. Levitt, Alan S. Willsky: MCMC Curve Sampling for Image Segmentation. MICCAI (2) 2007: 477-485

Venkat Chandrasekaran, Jason K. Johnson, Alan S. Willsky: Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis. NIPS 2007

Sujay Sanghavi, Dmitry M. Malioutov, Alan S. Willsky: Linear programming analysis of loopy belief propagation for weighted matching. NIPS 2007

Sujay Sanghavi, Devavrat Shah, Alan S. Willsky: Message Passing for Max-weight Independent Set. NIPS 2007

Erik B. Sudderth, Martin J. Wainwright, Alan S. Willsky: Loop Series and Bethe Variational Bounds in Attractive Graphical Models. NIPS 2007

Jason K. Johnson, Dmitry M. Malioutov, Alan S. Willsky: Lagrangian Relaxation for MAP Estimation in Graphical Models. CoRR abs/0710.0013 (2007)

Dmitry M. Malioutov, Jason K. Johnson, Alan S. Willsky: Walk-Sums and Belief Propagation in Gaussian Graphical Models. Journal of Machine Learning Research 7: 2031-2064 (2006)

Lei Chen, Martin J. Wainwright, Müjdat Çetin, Alan S. Willsky: Data association based on optimization in graphical models with application to sensor networks. Mathematical and Computer Modelling 43(9-10): 1114-1135 (2006)

Lakshminarayan Srinivasan, Uri T. Eden, Alan S. Willsky, Emery N. Brown: A State-Space Analysis for Reconstruction of Goal-Directed Movements Using Neural Signals. Neural Computation 18(10): 2465-2494 (2006)

Walter Sun, Müjdat Çetin, W. Carlisle Thacker, Toshio Mike Chin, Alan S. Willsky: Variational approaches on discontinuity localization and field estimation in sea surface temperature and soil moisture. IEEE T. Geoscience and Remote Sensing 44(2): 336-350 (2006)

Erik B. Sudderth, Antonio Torralba, William T. Freeman, Alan S. Willsky: Depth from Familiar Objects: A Hierarchical Model for 3D Scenes. CVPR (2) 2006: 2410-2417

Alexander T. Ihler, John W. Fisher III, Alan S. Willsky: Loopy Belief Propagation: Convergence and Effects of Message Errors. Journal of Machine Learning Research 6: 905-936 (2005)

Alexander T. Ihler, John W. Fisher III, Randolph L. Moses, Alan S. Willsky: Nonparametric belief propagation for self-localization of sensor networks. IEEE Journal on Selected Areas in Communications 23(4): 809-819 (2005)

Andy Tsai, William M. Wells III, Simon K. Warfield, Alan S. Willsky: An EM algorithm for shape classification based on level sets. Medical Image Analysis 9(5): 491-502 (2005)

Junmo Kim, John W. Fisher III, Anthony J. Yezzi, Müjdat Çetin, Alan S. Willsky: A Nonparametric Statistical Method for Image Segmentation Using Information Theory and Curve Evolution. IEEE Transactions on Image Processing 14(10): 1486-1502 (2005)

Martin J. Wainwright, Tommi Jaakkola, Alan S. Willsky: A new class of upper bounds on the log partition function. IEEE Transactions on Information Theory 51(7): 2313-2335 (2005)

Martin J. Wainwright, Tommi Jaakkola, Alan S. Willsky: MAP estimation via agreement on trees: message-passing and linear programming. IEEE Transactions on Information Theory 51(11): 3697-3717 (2005)

Ilya Pollak, Alan S. Willsky, Yan Huang: Nonlinear evolution equations as fast and exact solvers of estimation problems. IEEE Transactions on Signal Processing 53(2-1): 484-498 (2005)

Dmitry M. Malioutov, Müjdat Çetin, Alan S. Willsky: A sparse signal reconstruction perspective for source localization with sensor arrays. IEEE Transactions on Signal Processing 53(8-2): 3010-3022 (2005)

Erik B. Sudderth, Antonio Torralba, William T. Freeman, Alan S. Willsky: Learning Hierarchical Models of Scenes, Objects, and Parts. ICCV 2005: 1331-1338

Walter Sun, Müjdat Çetin, Raymond C. Chan, Vivek Y. Reddy, Godtfred Holmvang, Venkat Chandar, Alan S. Willsky: Segmenting and Tracking the Left Ventricle by Learning the Dynamics in Cardiac Images. IPMI 2005: 553-565

Jason K. Johnson, Dmitry M. Malioutov, Alan S. Willsky: Walk-Sum Interpretation and Analysis of Gaussian Belief Propagation. NIPS 2005

O. Patrick Kreidl, Alan S. Willsky: Inference with Minimal Communication: a Decision-Theoretic Variational Approach. NIPS 2005

Erik B. Sudderth, Antonio Torralba, William T. Freeman, Alan S. Willsky: Describing Visual Scenes using Transformed Dirichlet Processes. NIPS 2005

Martin J. Wainwright, Tommi Jaakkola, Alan S. Willsky: MAP estimation via agreement on (hyper)trees: Message-passing and linear programming. CoRR abs/cs/0508070 (2005)

Andy Tsai, William M. Wells III, Clare M. Tempany, Eric Grimson, Alan S. Willsky: Mutual information in coupled multi-shape model for medical image segmentation. Medical Image Analysis 8(4): 429-445 (2004)

Martin J. Wainwright, Tommi Jaakkola, Alan S. Willsky: Tree consistency and bounds on the performance of the max-product algorithm and its generalizations. Statistics and Computing 14(2): 143-166 (2004)

Alexander T. Ihler, John W. Fisher III, Alan S. Willsky: Nonparametric hypothesis tests for statistical dependency. IEEE Transactions on Signal Processing 52(8): 2234-2249 (2004)

Erik B. Sudderth, Martin J. Wainwright, Alan S. Willsky: Embedded trees: estimation of Gaussian Processes on graphs with cycles. IEEE Transactions on Signal Processing 52(11): 3136-3150 (2004)

Alexander T. Ihler, John W. Fisher III, Randolph L. Moses, Alan S. Willsky: Nonparametric belief propagation for self-calibration in sensor networks. IPSN 2004: 225-233

Andy Tsai, William M. Wells III, Simon K. Warfield, Alan S. Willsky: Level Set Methods in an EM Framework for Shape Classification and Estimation. MICCAI (1) 2004: 1-9

Alexander T. Ihler, John W. Fisher III, Alan S. Willsky: Message Errors in Belief Propagation. NIPS 2004

Erik B. Sudderth, Michael I. Mandel, William T. Freeman, Alan S. Willsky: Distributed Occlusion Reasoning for Tracking with Nonparametric Belief Propagation. NIPS 2004

Austin B. Frakt, Hanoch Lev-Ari, Alan S. Willsky: A generalized Levinson algorithm for covariance extension with application to multiscale autoregressive modeling. IEEE Transactions on Information Theory 49(2): 411-424 (2003)

Martin J. Wainwright, Tommi Jaakkola, Alan S. Willsky: Tree-based reparameterization framework for analysis of sum-product and related algorithms. IEEE Transactions on Information Theory 49(5): 1120-1146 (2003)

Andy Tsai, Anthony J. Yezzi, William M. Wells III, Clare M. Tempany, Dewey Tucker, Ayres C. Fan, W. Eric L. Grimson, Alan S. Willsky: A Shape-Based Approach to the Segmentation of Medical Imagery Using Level Sets. IEEE Trans. Med. Imaging 22(2): 137-154 (2003)

Erik B. Sudderth, Alexander T. Ihler, William T. Freeman, Alan S. Willsky: Nonparametric Belief Propagation. CVPR (1) 2003: 605-612

Junmo Kim, John W. Fisher III, Müjdat Çetin, Anthony J. Yezzi, Alan S. Willsky: Incorporating complex statistical information in active contour-based image segmentation. ICIP (2) 2003: 655-658

Ayres C. Fan, William M. Wells III, John W. Fisher III, Müjdat Çetin, Steven Haker, Robert V. Mulkern, Clare M. Tempany, Alan S. Willsky: A Unified Variational Approach to Denoising and Bias Correction in MR. IPMI 2003: 148-159

Andy Tsai, William M. Wells III, Clare M. Tempany, W. Eric L. Grimson, Alan S. Willsky: Coupled Multi-shape Model and Mutual Information for Medical Image Segmentation. IPMI 2003: 185-197

Alexander T. Ihler, John W. Fisher III, Alan S. Willsky: Hypothesis Testing over Factorizations for Data Association. IPSN 2003: 239-253

Alexander T. Ihler, Erik B. Sudderth, William T. Freeman, Alan S. Willsky: Efficient Multiscale Sampling from Products of Gaussian Mixtures. NIPS 2003

John W. Fisher III, Martin J. Wainwright, Erik B. Sudderth, Alan S. Willsky: Statistical and Information-Theoretic Methods for Self-Organization and Fusion of Multimodal, Networked Sensors. IJHPCA 16(3): 337-353 (2002)

Müjdat Çetin, Dmitry M. Malioutov, Alan S. Willsky: A variational technique for source localization based on a sparse signal reconstruction perspective. ICASSP 2002: 2965-2968

Junmo Kim, Andy Tsai, Müjdat Çetin, Alan S. Willsky: A curve evolution-based variational approach to simultaneous image restoration and segmentation. ICIP (1) 2002: 109-112

Müjdat Çetin, William Clement Karl, Alan S. Willsky: Edge-preserving image reconstruction for coherent imaging applications. ICIP (2) 2002: 481-484

Junmo Kim, John W. Fisher III, Anthony J. Yezzi Jr., Müjdat Çetin, Alan S. Willsky: Nonparametric methods for image segmentation using information theory and curve evolution. ICIP (3) 2002: 797-800

Martin J. Wainwright, Tommi Jaakkola, Alan S. Willsky: Exact MAP Estimates by (Hyper)tree Agreement. NIPS 2002: 809-816

Martin J. Wainwright, Tommi Jaakkola, Alan S. Willsky: A New Class of upper Bounds on the Log Partition Function. UAI 2002: 536-543

Terrence T. Ho, Paul W. Fieguth, Alan S. Willsky: Computationally efficient steady-state multiscale estimation for 1-D diffusion processes. Automatica 37(3): 325-340 (2001)

Andy Tsai, Anthony J. Yezzi Jr., Alan S. Willsky: Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification. IEEE Transactions on Image Processing 10(8): 1169-1186 (2001)

Ron O. Dror, Thomas K. Leung, Edward H. Adelson, Alan S. Willsky: Statistics of Real-World Illumination. CVPR (2) 2001: 164-171

Andy Tsai, Anthony J. Yezzi, William M. Wells III, Clare M. Tempany, Dewey Tucker, Ayres C. Fan, W. Eric L. Grimson, Alan S. Willsky: Model-Based Curve Evolution Technique for Image Segmentation. CVPR (1) 2001: 463-468

Martin J. Wainwright, Tommi Jaakkola, Alan S. Willsky: Tree-based reparameterization for approximate inference on loopy graphs. NIPS 2001: 1001-1008

Ilya Pollak, Alan S. Willsky, Hamid Krim: Image segmentation and edge enhancement with stabilized inverse diffusion equations. IEEE Transactions on Image Processing 9(2): 256-266 (2000)

Michael K. Schneider, Paul W. Fieguth, William Clement Karl, Alan S. Willsky: Multiscale methods for the segmentation and reconstruction of signals and images. IEEE Transactions on Image Processing 9(3): 456-468 (2000)

Andy Tsai, Anthony J. Yezzi, Alan S. Willsky: A Curve Evolution Approach to Smoothing and Segmentation Using the Mumford-Shah Functional. CVPR 2000: 1119-1124

Martin J. Wainwright, Eero P. Simoncelli, Alan S. Willsky: Random Cascades of Gaussian Scale Mixtures and Their Use in Modeling Natural Images With Application to Denoising. ICIP 2000: 260-263

Andy Tsai, Anthony J. Yezzi, Alan S. Willsky: Curve Evolution, Boundary-Value Stochastic Processes, the Mumford-Shah Problem, and Missing Data Applications. ICIP 2000: 588-591

Junmo Kim, John W. Fisher III, Andy Tsai, Cindy Wible, Alan S. Willsky, William M. Wells III: Incorporating Spatial Priors into an Information Theoretic Approach for fMRI Data Analysis. MICCAI 2000: 62-71

Andy Tsai, Anthony J. Yezzi, Alan S. Willsky: A Curve Evolution Approach to Medical Image Magnification via the Mumford-Shah Functional. MICCAI 2000: 246-255

Martin J. Wainwright, Erik B. Sudderth, Alan S. Willsky: Tree-Based Modeling and Estimation of Gaussian Processes on Graphs with Cycles. NIPS 2000: 661-667

Seema Jaggi, William Clement Karl, Stéphane Mallat, Alan S. Willsky: Silhouette recognition using high-resolution pursuit. Pattern Recognition 32(5): 753-771 (1999)

Khalid Daoudi, Austin B. Frakt, Alan S. Willsky: Multiscale Autoregressive Models and Wavelets. IEEE Transactions on Information Theory 45(3): 828-845 (1999)

Michael M. Daniel, Alan S. Willsky: The Modeling and Estimation of Statistically Self-Similar Processes in a Multiresolution Framework. IEEE Transactions on Information Theory 45(3): 955-970 (1999)

Anthony J. Yezzi, Andy Tsai, Alan S. Willsky: A Statistical Approach to Snakes for Bimodal and Trimodal Imagery. ICCV 1999: 898-903

Anthony J. Yezzi, Andy Tsai, Alan S. Willsky: Binary and Ternary Flows for Image Segmentation. ICIP (2) 1999: 1-5

Terrence T. Ho, Paul W. Fieguth, Alan S. Willsky: Recursive Multiscale Estimation of Space-Time Random Fields. ICIP (2) 1999: 867-870

Andy Tsai, John W. Fisher III, Cindy Wible, William M. Wells III, Junmo Kim, Alan S. Willsky: Analysis of Functional MRI Data Using Mutual Information. MICCAI 1999: 473-480

Paul W. Fieguth, William Clement Karl, Alan S. Willsky: Efficient Multiresolution Counterparts to Variational Methods for Surface Reconstruction. Computer Vision and Image Understanding 70(2): 157-176 (1998)

Austin B. Frakt, William Clement Karl, Alan S. Willsky: A multiscale hypothesis testing approach to anomaly detection and localization from noisy tomographic data. IEEE Transactions on Image Processing 7(6): 825-837 (1998)

Cedric L. Logan, Hamid Krim, Alan S. Willsky: An Estimation-Theoretic Technique for Motion-Compensated Synthetic-Aperture Array Imaging. ICIP (1) 1998: 9-13

Ilya Pollak, Hamid Krim, Alan S. Willsky: Stabilized Inverse Diffusion Equations and Segmentation of Vector-Valued Images. ICIP (3) 1998: 246-248

Terrence T. Ho, Paul W. Fieguth, Alan S. Willsky: Computationally Efficient Multiscale Estimation of Large-Scale Dynamic Systems. ICIP (3) 1998: 274-278

John P. Kaufhold, Michael K. Schneider, Alan S. Willsky, William Clement Karl: A Statistical Method for Efficient Segmentation of MR Imagery. IJPRAI 11(8): 1213-1231 (1997)

Charles H. Fosgate, Hamid Krim, William W. Irving, William Clement Karl, Alan S. Willsky: Multiscale segmentation and anomaly enhancement of SAR imagery. IEEE Transactions on Image Processing 6(1): 7-20 (1997)

Mickey Bhatia, William Clement Karl, Alan S. Willsky: Tomographic reconstruction and estimation based on multiscale natural-pixel bases. IEEE Transactions on Image Processing 6(3): 463-478 (1997)

William W. Irving, Paul W. Fieguth, Alan S. Willsky: An overlapping tree approach to multiscale stochastic modeling and estimation. IEEE Transactions on Image Processing 6(11): 1517-1529 (1997)

Rachel E. Learned, Alan S. Willsky, Don M. Boroson: Low complexity optimal joint detection for oversaturated multiple access communications. IEEE Transactions on Signal Processing 45(1): 113-123 (1997)

Andrew J. Kim, Hamid Krim, Alan S. Willsky: Segmentation and Compression of SAR Imagery via Hierarchical Stochastic Modelling. ICIP (3) 1997: 488-491

John P. Kaufhold, Michael K. Schneider, William Clement Karl, Alan S. Willsky: A Recursive Estimation Approach to the Segmentation of MR Imagery. ICIP (2) 1997: 506-509

Ilya Pollak, Alan S. Willsky, Hamid Krim: Scale Space Analysis by Stabilized Inverse Diffusion Equations. Scale-Space 1997: 200-211

Lori Belcastro, William Clement Karl, Alan S. Willsky: Tomographic Reconstruction of Polygons from Knot Location and Chord Length Measurements. CVGIP: Graphical Model and Image Processing 58(3): 233-245 (1996)

William Clement Karl, Sanjeev R. Kulkarni, George C. Verghese, Alan S. Willsky: Local tests for consistency of support hyperplane data. Journal of Mathematical Imaging and Vision 6(2-3): 249-267 (1996)

Peyman Milanfar, William Clement Karl, Alan S. Willsky: A moment-based variational approach to tomographic reconstruction. IEEE Transactions on Image Processing 5(3): 459-470 (1996)

Paul W. Fieguth, Alan S. Willsky: Fractal estimation using models on multiscale trees. IEEE Transactions on Signal Processing 44(5): 1297-1300 (1996)

Paul W. Fieguth, Alan S. Willsky, Dimitris Menemenlis, Carl Wunsch: A general multiresolution approach to the estimation of dense fields in remote sensing. ICIP (2) 1996: 609-612

Austin B. Frakt, Alan S. Willsky, W. Clem Karl: Multiscale hypothesis testing with application to anomaly characterization from tomographic projections. ICIP (2) 1996: 705-708

Charles H. Fosgate, Hamid Krim, Alan S. Willsky, William Clement Karl: Multiscale segmentation and anomaly enhancement of SAR imagery. ICIP (3) 1996: 903-906

Toshio Mike Chin, William Clement Karl, Alan S. Willsky: A distributed and iterative method for square root filtering in space-time estimation. Automatica 31(1): 67-82 (1995)

Mark R. Luettgen, Alan S. Willsky: Likelihood calculation for a class of multiscale stochastic models, with application to texture discrimination. IEEE Transactions on Image Processing 4(2): 194-207 (1995)

Peyman Milanfar, George C. Verghese, William Clement Karl, Alan S. Willsky: Reconstructing polygons from moments with connections to array processing. IEEE Transactions on Signal Processing 43(2): 432-443 (1995)

Paul W. Fieguth, William W. Irving, Alan S. Willsky: Multiresolution model development for overlapping trees via canonical correlation analysis. ICIP 1995: 45-48

Seema Jaggi, Alan S. Willsky, William Clement Karl, Stéphane Mallat: Multiscale geometrical feature extraction and object recognition with wavelets and morphology. ICIP (3) 1995: 372-375

Michael M. Daniel, Alan S. Willsky, Dennis McLaughlin, Dave Rossi: A multi-resolution approach for imaging hydraulic conductivity. ICIP 1995: 637-640

William Clement Karl, George C. Verghese, Alan S. Willsky: Reconstructing Ellipsoids from Projections. CVGIP: Graphical Model and Image Processing 56(2): 124-139 (1994)

Peyman Milanfar, William Clement Karl, Alan S. Willsky: Reconstructing Binary Polygonal Objects from Projections: A Statistical View. CVGIP: Graphical Model and Image Processing 56(5): 371-391 (1994)

Mark R. Luettgen, William Clement Karl, Alan S. Willsky: Efficient multiscale regularization with applications to the computation of optical flow. IEEE Transactions on Image Processing 3(1): 41-64 (1994)

Toshio Mike Chin, William Clement Karl, Alan S. Willsky: Probabilistic and sequential computation of optical flow using temporal coherence. IEEE Transactions on Image Processing 3(6): 773-788 (1994)

Paul W. Fieguth, Alan S. Willsky, William Clement Karl: Multiresolution Stochastic Imaging of Satellite Oceanographic Altimetric Data. ICIP (2) 1994: 1-5

Mickey Bhatia, William Clement Karl, Alan S. Willsky: Wavelet-Based Multiscale Stochastic Models for Efficient Tomographic Discrimination of Fractal Fields. ICIP (2) 1994: 135-139

Peyman Milanfar, Robert R. Tenney, Robert B. Washburn, Alan S. Willsky: Modeling and Estimation for a Class of Multiresolution Random Fields. ICIP (3) 1994: 397-401

Peyman Milanfar, William Clement Karl, Alan S. Willsky: Moment-Based Geometric Image Reconstruction. ICIP (2) 1994: 825-829

Jerry L. Prince, Alan S. Willsky: Hierarchical reconstruction using geometry and sinogram restoration. IEEE Transactions on Image Processing 2(3): 401-416 (1993)

Mark R. Luettgen, William Clement Karl, Alan S. Willsky, Robert R. Tenney: Multiscale representations of Markov random fields. IEEE Transactions on Signal Processing 41(12): 3377-3396 (1993)

Cüneyt M. Özveren, Alan S. Willsky: Aggregation and multi-level control in discrete event dynamic systems. Automatica 28(3): 565-577 (1992)

Ingrid Daubechies, Stéphane Mallat, Alan S. Willsky: Introduction to the special issue on wavelet transforms and multiresolution signal analysis. IEEE Transactions on Information Theory 38(2): 529-532 (1992)

Michèle Basseville, Albert Benveniste, Kenneth C. Chou, Stuart A. Golden, Ramine Nikoukhah, Alan S. Willsky: Modeling and estimation of multiresolution stochastic processes. IEEE Transactions on Information Theory 38(2): 766-784 (1992)

Michèle Basseville, Albert Benveniste, Alan S. Willsky: Multiscale autoregressive processes. I. Schur-Levinson parametrizations. IEEE Transactions on Signal Processing 40(8): 1915-1934 (1992)

Michèle Basseville, Albert Benveniste, Alan S. Willsky: Multiscale autoregressive processes. II. Lattice structures for whitening and modeling. IEEE Transactions on Signal Processing 40(8): 1935-1954 (1992)

Alan S. Willsky: Opportunities and Challenges in Signal Processing and Analysis. 25th Anniversary of INRIA 1992: 331-338

Jerry L. Prince, Alan S. Willsky: Convex set reconstruction using prior shape information. CVGIP: Graphical Model and Image Processing 53(5): 413-427 (1991)

Cüneyt M. Özveren, Alan S. Willsky, Panos J. Antsaklis: Stability and Stabilizability of Discrete Event Dynamic Systems. J. ACM 38(3): 730-752 (1991)

Ahmed H. Tewfik, Bernard C. Levy, Alan S. Willsky: Internal models and recursive estimation for 2-D isotropic random fields. IEEE Transactions on Information Theory 37(4): 1055-1066 (1991)

Jerry L. Prince, Alan S. Willsky: Reconstructing Convex Sets from Support Line Measurements. IEEE Trans. Pattern Anal. Mach. Intell. 12(4): 377-389 (1990)

Jan Robin Rohlicek, Alan S. Willsky: The reduction of perturbed Markov generators: an algorithm exposing the role of transient states. J. ACM 35(3): 675-696 (1988)

Ahmed H. Tewfik, Bernard C. Levy, Alan S. Willsky: Sampling theorems for two-dimensional isotropic random fields. IEEE Transactions on Information Theory 34(5): 1092-1096 (1988)

Martin G. Bello, Alan S. Willsky, Bernard C. Levy, David A. Castañon: Smoothing error dynamics and their use in the solution of smoothing and mapping problems. IEEE Transactions on Information Theory 32(4): 483-495 (1986)

Alan S. Willsky: On the Algebraic Structure of Certain Partially Observable Finite-State Markov Processes. Information and Control 38(2): 179-212 (1978)

Alan S. Willsky: Invertibility of Finite Group Homomorphic Sequential Systems. Information and Control 27(2): 126-147 (1975)

Roger W. Brockett, Alan S. Willsky: Some structural properties of automata defined on groups. Category Theory Applied to Computation and Control 1974: 112-118