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2020 – today
- 2020
[c142]Craig Carthel, Jordan LeNoach, Stefano Coraluppi, Alan S. Willsky, Brandon Bale:
Analysis of MHT and GBT Approaches to Disparate-Sensor Fusion. FUSION 2020: 1-7
2010 – 2019
- 2019
- [c141]Stefano P. Coraluppi, Craig A. Carthel, Alan S. Willsky:
Graph-Based Tracking with Uncertain ID Measurement Associations. FUSION 2019: 1-8 - 2017
- [c140]Stefano P. Coraluppi, Craig A. Carthel, Alan S. Willsky:
Multi-Sensor tracking of move-stop-move targets. SDF 2017: 1-6 - 2016
- [c139]Stefano Coraluppi, Craig Carthel, William Kreamer, Alan S. Willsky:
New graph-based and MCMC approaches to multi-INT surveillance. FUSION 2016: 394-401 - 2015
- [j127]James Saunderson
, Pablo A. Parrilo, Alan S. Willsky:
Semidefinite Descriptions of the Convex Hull of Rotation Matrices. SIAM J. Optim. 25(3): 1314-1343 (2015) - [j126]Ying Liu, Oliver Kosut, Alan S. Willsky:
Sampling From Gaussian Markov Random Fields Using Stationary and Non-Stationary Subgraph Perturbations. IEEE Trans. Signal Process. 63(3): 576-589 (2015) - [c138]Stefano Coraluppi, Craig Carthel, William Kreamer, Alan S. Willsky:
MCMC and MHT Approaches to Multi-INT surveillance. FUSION 2015: 2057-2064 - 2014
- [j125]Müjdat Çetin, Ivana Stojanovic, N. Özben Önhon, Kush R. Varshney, Sadegh Samadi, William Clement Karl, Alan S. Willsky:
Sparsity-Driven Synthetic Aperture Radar Imaging: Reconstruction, autofocusing, moving targets, and compressed sensing. IEEE Signal Process. Mag. 31(4): 27-40 (2014) - [c137]James Saunderson, Pablo A. Parrilo, Alan S. Willsky:
Semidefinite relaxations for optimization problems over rotation matrices. CDC 2014: 160-166 - [c136]Matthew James Johnson, Alan S. Willsky:
Stochastic Variational Inference for Bayesian Time Series Models. ICML 2014: 1854-1862 - 2013
- [j124]Matthew J. Johnson, Alan S. Willsky:
Bayesian nonparametric hidden semi-Markov models. J. Mach. Learn. Res. 14(1): 673-701 (2013) - [c135]James Saunderson, Pablo A. Parrilo, Alan S. Willsky:
Diagonal and low-rank decompositions and fitting ellipsoids to random points. CDC 2013: 6031-6036 - [c134]Ying Liu, Alan S. Willsky:
Recursive FMP for distributed inference in Gaussian graphical models. ISIT 2013: 2483-2487 - [c133]Ying Liu, Oliver Kosut, Alan S. Willsky:
Sampling from Gaussian graphical models using subgraph perturbations. ISIT 2013: 2498-2502 - [c132]Ying Liu, Alan S. Willsky:
Learning Gaussian Graphical Models with Observed or Latent FVSs. NIPS 2013: 1833-1841 - [c131]Matthew J. Johnson, James Saunderson, Alan S. Willsky:
Analyzing Hogwild Parallel Gaussian Gibbs Sampling. NIPS 2013: 2715-2723 - [i17]Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky:
A New Class of Upper Bounds on the Log Partition Function. CoRR abs/1301.0610 (2013) - [i16]Ying Liu, Alan S. Willsky:
Learning Gaussian Graphical Models with Observed or Latent FVSs. CoRR abs/1311.2241 (2013) - 2012
- [j123]Venkat Chandrasekaran, Benjamin Recht, Pablo A. Parrilo, Alan S. Willsky:
The Convex Geometry of Linear Inverse Problems. Found. Comput. Math. 12(6): 805-849 (2012) - [j122]Animashree Anandkumar, Vincent Y. F. Tan, Furong Huang, Alan S. Willsky:
High-dimensional Gaussian graphical model selection: walk summability and local separation criterion. J. Mach. Learn. Res. 13: 2293-2337 (2012) - [j121]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) - [j120]Myung Jin Choi, Antonio Torralba, Alan S. Willsky:
Context models and out-of-context objects. Pattern Recognit. Lett. 33(7): 853-862 (2012) - [j119]James Saunderson, Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky:
Diagonal and Low-Rank Matrix Decompositions, Correlation Matrices, and Ellipsoid Fitting. SIAM J. Matrix Anal. Appl. 33(4): 1395-1416 (2012) - [j118]Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky:
Convex Graph Invariants. SIAM Rev. 54(3): 513-541 (2012) - [j117]Ying Liu, Venkat Chandrasekaran, Animashree Anandkumar, Alan S. Willsky:
Feedback Message Passing for Inference in Gaussian Graphical Models. IEEE Trans. Signal Process. 60(8): 4135-4150 (2012) - [c130]Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky:
Convex graph invariants. CISS 2012: 1-6 - [i15]Matthew J. Johnson, Alan S. Willsky:
The Hierarchical Dirichlet Process Hidden Semi-Markov Model. CoRR abs/1203.3485 (2012) - [i14]Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky:
Rejoinder: Latent variable graphical model selection via convex optimization. CoRR abs/1211.0835 (2012) - 2011
- [j116]Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky:
Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates. J. Mach. Learn. Res. 12: 1617-1653 (2011) - [j115]Myung Jin Choi, Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky:
Learning Latent Tree Graphical Models. J. Mach. Learn. Res. 12: 1771-1812 (2011) - [j114]Venkat Chandrasekaran, Sujay Sanghavi, Pablo A. Parrilo, Alan S. Willsky:
Rank-Sparsity Incoherence for Matrix Decomposition. SIAM J. Optim. 21(2): 572-596 (2011) - [j113]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 Trans. Inf. Theory 57(3): 1714-1735 (2011) - [j112]Sujay Sanghavi, Dmitry M. Malioutov, Alan S. Willsky:
Belief Propagation and LP Relaxation for Weighted Matching in General Graphs. IEEE Trans. Inf. Theory 57(4): 2203-2212 (2011) - [j111]Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, Alan S. Willsky:
Bayesian Nonparametric Inference of Switching Dynamic Linear Models. IEEE Trans. Signal Process. 59(4): 1569-1585 (2011) - [j110]Kush R. Varshney, Alan S. Willsky:
Linear Dimensionality Reduction for Margin-Based Classification: High-Dimensional Data and Sensor Networks. IEEE Trans. Signal Process. 59(6): 2496-2512 (2011) - [c129]Vincent Y. F. Tan, Alan S. Willsky:
Sample complexity for topology estimation in networks of LTI systems. CDC/ECC 2011: 187-192 - [c128]James Saunderson, Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky:
Tree-structured statistical modeling via convex optimization. CDC/ECC 2011: 2883-2888 - [c127]Paul Balister, Béla Bollobás, Animashree Anandkumar, Alan S. Willsky:
Energy-latency tradeoff for in-network function computation in random networks. INFOCOM 2011: 1575-1583 - [c126]Animashree Anandkumar, Vincent Y. F. Tan, Alan S. Willsky:
High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions. NIPS 2011: 1863-1871 - [i13]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) - [i12]Ying Liu, Venkat Chandrasekaran, Animashree Anandkumar, Alan S. Willsky:
Feedback Message Passing for Inference in Gaussian Graphical Models. CoRR abs/1105.1853 (2011) - [i11]Animashree Anandkumar, Vincent Y. F. Tan, Alan S. Willsky:
High-Dimensional Gaussian Graphical Model Selection: Tractable Graph Families. CoRR abs/1107.1270 (2011) - [i10]Animashree Anandkumar, Vincent Y. F. Tan, Furong Huang, Alan S. Willsky:
High-Dimensional Structure Estimation in Ising Models: Tractable Graph Families. CoRR abs/1107.1736 (2011) - 2010
- [j109]Erik B. Sudderth, Alexander T. Ihler, Michael Isard, William T. Freeman, Alan S. Willsky:
Nonparametric belief propagation. Commun. ACM 53(10): 95-103 (2010) - [j108]Kush R. Varshney, Alan S. Willsky:
Classification Using Geometric Level Sets. J. Mach. Learn. Res. 11: 491-516 (2010) - [j107]Dmitry M. Malioutov, Sujay Sanghavi, Alan S. Willsky:
Sequential Compressed Sensing. IEEE J. Sel. Top. Signal Process. 4(2): 435-444 (2010) - [j106]Alan S. Willsky:
Paths Ahead in the Science of Information and Decision Systems [In the Spotlight]. IEEE Signal Process. Mag. 27(2): 160-158 (2010) - [j105]Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, Alan S. Willsky:
Bayesian Nonparametric Methods for Learning Markov Switching Processes. IEEE Signal Process. Mag. 27(6): 43-54 (2010) - [j104]O. Patrick Kreidl, Alan S. Willsky:
An Efficient Message-Passing Algorithm for Optimizing Decentralized Detection Networks. IEEE Trans. Autom. Control. 55(3): 563-578 (2010) - [j103]Myung Jin Choi, Venkat Chandrasekaran, Alan S. Willsky:
Gaussian multiresolution models: exploiting sparse Markov and covariance structure. IEEE Trans. Signal Process. 58(3): 1012-1024 (2010) - [j102]Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky:
Learning Gaussian tree models: analysis of error exponents and extremal structures. IEEE Trans. Signal Process. 58(5): 2701-2714 (2010) - [j101]Vincent Y. F. Tan, Sujay Sanghavi, John W. Fisher III, Alan S. Willsky:
Learning graphical models for hypothesis testing and classification. IEEE Trans. Signal Process. 58(11): 5481-5495 (2010) - [c125]Venkat Chandrasekaran, Benjamin Recht, Pablo A. Parrilo, Alan S. Willsky:
The Convex algebraic geometry of linear inverse problems. Allerton 2010: 699-703 - [c124]Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky:
Scaling laws for learning high-dimensional Markov forest distributions. Allerton 2010: 712-718 - [c123]Myung Jin Choi, Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky:
Consistent and efficient reconstruction of latent tree models. Allerton 2010: 719-725 - [c122]Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky:
Latent variable graphical model selection via convex optimization. Allerton 2010: 1610-1613 - [c121]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 - [c120]Vincent Y. F. Tan, Matthew J. Johnson, Alan S. Willsky:
Necessary and sufficient conditions for high-dimensional salient feature subset recovery. ISIT 2010: 1388-1392 - [c119]Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky:
Error exponents for composite hypothesis testing of Markov forest distributions. ISIT 2010: 1613-1617 - [c118]Ying Liu, Venkat Chandrasekaran, Animashree Anandkumar, Alan S. Willsky:
Feedback message passing for inference in gaussian graphical models. ISIT 2010: 1683-1687 - [c117]Animashree Anandkumar, Joseph E. Yukich, Alan S. Willsky:
Limit laws for random spatial graphical models. ISIT 2010: 1728-1732 - [c116]Matthew J. Johnson, Alan S. Willsky:
The Hierarchical Dirichlet Process Hidden Semi-Markov Model. UAI 2010: 252-259 - [i9]Dmitry M. Malioutov, Sujay Sanghavi, Alan S. Willsky:
Sequential Compressed Sensing. CoRR abs/1003.0219 (2010) - [i8]Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky:
Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates. CoRR abs/1005.0766 (2010) - [i7]Myung Jin Choi, Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky:
Learning Latent Tree Graphical Models. CoRR abs/1009.2722 (2010) - [i6]Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky:
Convex Graph Invariants. CoRR abs/1012.0623 (2010)
2000 – 2009
- 2009
- [j100]Sujay Sanghavi, Devavrat Shah, Alan S. Willsky:
Message passing for maximum weight independent set. IEEE Trans. Inf. Theory 55(11): 4822-4834 (2009) - [c115]O. Patrick Kreidl, Alan S. Willsky:
Message quantization in belief propagation: Structural results in the low-rate regime. Allerton 2009: 431-438 - [c114]Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky:
How do the structure and the parameters of Gaussian tree models affect structure learning? Allerton 2009: 684-691 - [c113]Venkat Chandrasekaran, Sujay Sanghavi, Pablo A. Parrilo, Alan S. Willsky:
Sparse and low-rank matrix decompositions. Allerton 2009: 962-967 - [c112]Zhexu Chen, Lei Chen, Müjdat Çetin, Alan S. Willsky:
An efficient message passing algorithm for multi-target tracking. FUSION 2009: 826-833 - [c111]Kush R. Varshney, Alan S. Willsky:
Learning dimensionality-reduced classifiers for information fusion. FUSION 2009: 1881-1888 - [c110]Marco A. Pravia, Olga Babko-Malaya, Michael K. Schneider, James V. White, Chee-Yee Chong, Alan S. Willsky:
Lessons learned in the creation of a data set for hard/soft information fusion. FUSION 2009: 2114-2121 - [c109]Myung Jin Choi, Venkat Chandrasekaran, Alan S. Willsky:
Exploiting sparse Markov and covariance structure in multiresolution models. ICML 2009: 177-184 - [c108]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 - [c107]Animashree Anandkumar, Alan S. Willsky, Lang Tong:
Detection error exponent for spatially dependent samples in random networks. ISIT 2009: 2882-2886 - [c106]Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, Alan S. Willsky:
Sharing Features among Dynamical Systems with Beta Processes. NIPS 2009: 549-557 - [i5]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) - [i4]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) - 2008
- [j99]Erik B. Sudderth, Antonio Torralba, William T. Freeman, Alan S. Willsky:
Describing Visual Scenes Using Transformed Objects and Parts. Int. J. Comput. Vis. 77(1-3): 291-330 (2008) - [j98]Jason K. Johnson, Alan S. Willsky:
A Recursive Model-Reduction Method for Approximate Inference in Gaussian Markov Random Fields. IEEE Trans. Image Process. 17(1): 70-83 (2008) - [j97]Walter Sun, Müjdat Çetin, Raymond C. Chan, Alan S. Willsky:
Learning the Dynamics and Time-Recursive Boundary Detection of Deformable Objects. IEEE Trans. Image Process. 17(11): 2186-2200 (2008) - [j96]Venkat Chandrasekaran, Jason K. Johnson, Alan S. Willsky:
Estimation in Gaussian Graphical Models Using Tractable Subgraphs: A Walk-Sum Analysis. IEEE Trans. Signal Process. 56(5): 1916-1930 (2008) - [j95]Kush R. Varshney, Müjdat Çetin, John W. Fisher III, Alan S. Willsky:
Sparse Representation in Structured Dictionaries With Application to Synthetic Aperture Radar. IEEE Trans. Signal Process. 56(8-1): 3548-3561 (2008) - [j94]Dmitry M. Malioutov, Jason K. Johnson, Myung Jin Choi, Alan S. Willsky:
Low-Rank Variance Approximation in GMRF Models: Single and Multiscale Approaches. IEEE Trans. Signal Process. 56(10-1): 4621-4634 (2008) - [c105]O. Patrick Kreidl, Alan S. Willsky:
Decentralized detection with long-distance communication. ACSCC 2008: 1352-1356 - [c104]Sujay Sanghavi, Dmitry Malioutov, Alan S. Willsky:
Networking sensors using belief propagation. Allerton 2008: 384-391 - [c103]Ayres C. Fan, John W. Fisher III, Jonathan Kane, Alan S. Willsky:
MCMC curve sampling and geometric conditional simulation. Computational Imaging 2008: 681407 - [c102]Vincent Y. F. Tan, John W. Fisher III, Alan S. Willsky:
Learning max-weight discriminative forests. ICASSP 2008: 1877-1880 - [c101]Myung Jin Choi, Venkat Chandrasekaran, Alan S. Willsky:
Maximum entropy relaxation for multiscale graphical model selection. ICASSP 2008: 1889-1892 - [c100]Dmitry M. Malioutov, Sujay Sanghavi, Alan S. Willsky:
Compressed sensing with sequential observations. ICASSP 2008: 3357-3360 - [c99]Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, Alan S. Willsky:
An HDP-HMM for systems with state persistence. ICML 2008: 312-319 - [c98]Walter Sun, Müjdat Çetin, Raymond C. Chan, Alan S. Willsky:
Segmentation of the evolving left ventricle by learning the dynamics. ISBI 2008: 229-232 - [c97]Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, Alan S. Willsky:
Nonparametric Bayesian Learning of Switching Linear Dynamical Systems. NIPS 2008: 457-464 - [i3]Sujay Sanghavi, Devavrat Shah, Alan S. Willsky:
Message-passing for Maximum Weight Independent Set. CoRR abs/0807.5091 (2008) - 2007
- [j93]Junmo Kim, Müjdat Çetin, Alan S. Willsky:
Nonparametric shape priors for active contour-based image segmentation. Signal Process. 87(12): 3021-3044 (2007) - [j92]Emily B. Fox, John W. Fisher III, Alan S. Willsky:
Detection and Localization of Material Releases With Sparse Sensor Configurations. IEEE Trans. Signal Process. 55(5-1): 1886-1898 (2007) - [c96]Andy Tsai, Carl-Fredrik Westin, Alfred O. Hero III, Alan S. Willsky:
Fiber Tract Clustering on Manifolds With Dual Rooted-Graphs. CVPR 2007 - [c95]Erik Blasch, Randolph L. Moses, David A. Castañón, Alan S. Willsky, Alfred O. Hero III:
Integrated fusion, performance prediction, and sensor management for automatic target exploitation AFOSR MURI. FUSION 2007: 1 - [c94]Emily B. Fox, Erik B. Sudderth, Alan S. Willsky:
Hierarchical Dirichlet processes for tracking maneuvering targets. FUSION 2007: 1-8 - [c93]Jason L. Williams, John W. Fisher III, Alan S. Willsky:
Performance Guarantees for Information Theoretic Sensor Resource Management. ICASSP (3) 2007: 933-936 - [c92]Dmitry M. Malioutov, Jason K. Johnson, Alan S. Willsky:
GMRF Variance Approximation using Splicedwavelet Bases. ICASSP (3) 2007: 1101-1104 - [c91]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 - [c90]Venkat Chandrasekaran, Jason K. Johnson, Alan S. Willsky:
Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis. NIPS 2007: 249-256 - [c89]Sujay Sanghavi, Dmitry M. Malioutov, Alan S. Willsky:
Linear programming analysis of loopy belief propagation for weighted matching. NIPS 2007: 1273-1280 - [c88]Sujay Sanghavi, Devavrat Shah, Alan S. Willsky:
Message Passing for Max-weight Independent Set. NIPS 2007: 1281-1288 - [c87]Erik B. Sudderth, Martin J. Wainwright, Alan S. Willsky:
Loop Series and Bethe Variational Bounds in Attractive Graphical Models. NIPS 2007: 1425-1432 - [c86]Jason K. Johnson, Venkat Chandrasekaran, Alan S. Willsky:
Learning Markov Structure by Maximum Entropy Relaxation. AISTATS 2007: 203-210 - [c85]Jason L. Williams, John W. Fisher III, Alan S. Willsky:
Performance Guarantees for Information Theoretic Active Inference. AISTATS 2007: 620-627 - [i2]Jason K. Johnson, Dmitry M. Malioutov, Alan S. Willsky:
Lagrangian Relaxation for MAP Estimation in Graphical Models. CoRR abs/0710.0013 (2007) - 2006
- [j91]Dmitry M. Malioutov, Jason K. Johnson, Alan S. Willsky:
Walk-Sums and Belief Propagation in Gaussian Graphical Models. J. Mach. Learn. Res. 7: 2031-2064 (2006) - [j90]Lei Chen, Martin J. Wainwright, Müjdat Çetin, Alan S. Willsky:
Data association based on optimization in graphical models with application to sensor networks. Math. Comput. Model. 43(9-10): 1114-1135 (2006) - [j89]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 Comput. 18(10): 2465-2494 (2006) - [j88]Müjdat Çetin, Lei Chen, John W. Fisher III, Alexander T. Ihler, Randolph L. Moses, Martin J. Wainwright, Alan S. Willsky:
Distributed fusion in sensor networks. IEEE Signal Process. Mag. 23(4): 42-55 (2006) - [j87]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 Trans. Geosci. Remote. Sens. 44(2): 336-350 (2006) - [c84]Jason L. Williams, John W. Fisher III, Alan S. Willsky:
Importance sampling actor-critic algorithms. ACC 2006: 1-6 - [c83]O. Patrick Kreidl, Alan S. Willsky:
An Efficient Message-Passing Algorithm for Optimizing Decentralized Detection Networks. CDC 2006: 6776-6783 - [c82]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 - [c81]Dmitry M. Malioutov, Jason K. Johnson, Alan S. Willsky:
Low-Rank Variance Estimation in Large-Scale Gmrf Models. ICASSP (3) 2006: 676-679 - [c80]Emily B. Fox, Jason L. Williams, John W. Fisher III, Alan S. Willsky:
Detection and Localization of Material Releases with Sparse Sensor Configurations. ICASSP (4) 2006: 945-948 - 2005
- [j86]A. Ben Hamza, Yun He, Hamid Krim, Alan S. Willsky:
A multiscale approach to pixel-level image fusion. Integr. Comput. Aided Eng. 12(2): 135-146 (2005) - [j85]Alexander T. Ihler, John W. Fisher III, Alan S. Willsky:
Loopy Belief Propagation: Convergence and Effects of Message Errors. J. Mach. Learn. Res. 6: 905-936 (2005) - [j84]Alexander T. Ihler, John W. Fisher III, Randolph L. Moses, Alan S. Willsky:
Nonparametric belief propagation for self-localization of sensor networks. IEEE J. Sel. Areas Commun. 23(4): 809-819 (2005) - [j83]Andy Tsai, William M. Wells III, Simon K. Warfield, Alan S. Willsky:
An EM algorithm for shape classification based on level sets. Medical Image Anal. 9(5): 491-502 (2005) - [j82]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 Trans. Image Process. 14(10): 1486-1502 (2005) - [j81]Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky:
A new class of upper bounds on the log partition function. IEEE Trans. Inf. Theory 51(7): 2313-2335 (2005) - [j80]Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky:
MAP estimation via agreement on trees: message-passing and linear programming. IEEE Trans. Inf. Theory 51(11): 3697-3717 (2005) - [j79]Ilya Pollak, Alan S. Willsky, Yan Huang:
Nonlinear evolution equations as fast and exact solvers of estimation problems. IEEE Trans. Signal Process. 53(2-1): 484-498 (2005) - [j78]Dmitry M. Malioutov, Müjdat Çetin, Alan S. Willsky:
A sparse signal reconstruction perspective for source localization with sensor arrays. IEEE Trans. Signal Process. 53(8-2): 3010-3022 (2005) - [c79]Junmo Kim, Müjdat Çetin, Alan S. Willsky:
Nonparametric shape priors for active contour-based image segmentation. EUSIPCO 2005: 1-4 - [c78]Dmitry M. Malioutov, Müjdat Çetin, Alan S. Willsky:
Homotopy continuation for sparse signal representation. ICASSP (5) 2005: 733-736 - [c77]Jason L. Williams, John W. Fisher III, Alan S. Willsky:
Optimization approaches to dynamic routing of measurements and models in a sensor network object tracking problem. ICASSP (5) 2005: 1061-1064 - [c76]Michael Siracusa, Kinh Tieu, Alexander T. Ihler, John W. Fisher III, Alan S. Willsky:
Estimating dependency and significance for high-dimensional data. ICASSP (5) 2005: 1085-1088 - [c75]Erik B. Sudderth, Antonio Torralba, William T. Freeman, Alan S. Willsky:
Learning Hierarchical Models of Scenes, Objects, and Parts. ICCV 2005: 1331-1338 - [c74]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 - [c73]Jason K. Johnson, Dmitry M. Malioutov, Alan S. Willsky:
Walk-Sum Interpretation and Analysis of Gaussian Belief Propagation. NIPS 2005: 579-586 - [c72]O. Patrick Kreidl, Alan S. Willsky:
Inference with Minimal Communication: a Decision-Theoretic Variational Approach. NIPS 2005: 675-682 - [c71]Erik B. Sudderth, Antonio Torralba, William T. Freeman, Alan S. Willsky:
Describing Visual Scenes using Transformed Dirichlet Processes. NIPS 2005: 1297-1304 - [i1]Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky:
MAP estimation via agreement on (hyper)trees: Message-passing and linear programming. CoRR abs/cs/0508070 (2005) - 2004
- [j77]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 Anal. 8(4): 429-445 (2004) - [j76]Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky:
Tree consistency and bounds on the performance of the max-product algorithm and its generalizations. Stat. Comput. 14(2): 143-166 (2004) - [j75]Alexander T. Ihler, John W. Fisher III, Alan S. Willsky:
Nonparametric hypothesis tests for statistical dependency. IEEE Trans. Signal Process. 52(8): 2234-2249 (2004) - [j74]Erik B. Sudderth, Martin J. Wainwright, Alan S. Willsky:
Embedded trees: estimation of Gaussian Processes on graphs with cycles. IEEE Trans. Signal Process. 52(11): 3136-3150 (2004) - [c70]Erik B. Sudderth, Michael I. Mandel, William T. Freeman, Alan S. Willsky:
Visual Hand Tracking Using Nonparametric Belief Propagation. CVPR Workshops 2004: 189 - [c69]Dmitry M. Malioutov, Müjdat Çetin, Alan S. Willsky:
Optimal sparse representations in general overcomplete bases. ICASSP (2) 2004: 793-796 - [c68]Alexander T. Ihler, John W. Fisher III, Randolph L. Moses, Alan S. Willsky:
Nonparametric belief propagation for sensor self-calibration. ICASSP (3) 2004: 861-864 - [c67]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 - [c66]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 - [c65]Alexander T. Ihler, John W. Fisher III, Alan S. Willsky:
Message Errors in Belief Propagation. NIPS 2004: 609-616 - [c64]Erik B. Sudderth, Michael I. Mandel, William T. Freeman, Alan S. Willsky:
Distributed Occlusion Reasoning for Tracking with Nonparametric Belief Propagation. NIPS 2004: 1369-1376 - 2003
- [j73]Andrew J. Kim, John W. Fisher III, Alan S. Willsky:
Detection and Analysis of Anisotropic Scattering in SAR Data. Multidimens. Syst. Signal Process. 14(1-3): 49-82 (2003) - [j72]Michael K. Schneider, Alan S. Willsky:
A Krylov Subspace Method for Covariance Approximation and Simulation of Random Processes and Fields. Multidimens. Syst. Signal Process. 14(4): 295-318 (2003) - [j71]Austin B. Frakt, Hanoch Lev-Ari, Alan S. Willsky:
A generalized Levinson algorithm for covariance extension with application to multiscale autoregressive modeling. IEEE Trans. Inf. Theory 49(2): 411-424 (2003) - [j70]Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky:
Tree-based reparameterization framework for analysis of sum-product and related algorithms. IEEE Trans. Inf. Theory 49(5): 1120-1146 (2003) - [j69]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. Medical Imaging 22(2): 137-154 (2003) - [c63]Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky:
Tree-reweighted belief propagation algorithms and approximate ML estimation by pseudo-moment matching. AISTATS 2003: 308-315 - [c62]Erik B. Sudderth, Alexander T. Ihler, William T. Freeman, Alan S. Willsky:
Nonparametric Belief Propagation. CVPR (1) 2003: 605-612 - [c61]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 - [c60]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 - [c59]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 - [c58]Alexander T. Ihler, John W. Fisher III, Alan S. Willsky:
Hypothesis Testing over Factorizations for Data Association. IPSN 2003: 239-253 - [c57]Alexander T. Ihler, Erik B. Sudderth, William T. Freeman, Alan S. Willsky:
Efficient Multiscale Sampling from Products of Gaussian Mixtures. NIPS 2003: 1-8 - 2002
- [j68]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. Int. J. High Perform. Comput. Appl. 16(3): 337-353 (2002) - [j67]Anthony J. Yezzi Jr., Andy Tsai, Alan S. Willsky:
A Fully Global Approach to Image Segmentation via Coupled Curve Evolution Equations. J. Vis. Commun. Image Represent. 13(1-2): 195-216 (2002) - [j66]Alan S. Willsky:
Multiresolution Markov models for signal and image processing. Proc. IEEE 90(8): 1396-1458 (2002) - [c56]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 - [c55]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 - [c54]Müjdat Çetin, William Clement Karl, Alan S. Willsky:
Edge-preserving image reconstruction for coherent imaging applications. ICIP (2) 2002: 481-484 - [c53]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 - [c52]Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky:
Exact MAP Estimates by (Hyper)tree Agreement. NIPS 2002: 809-816 - [c51]Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky:
A New Class of upper Bounds on the Log Partition Function. UAI 2002: 536-543 - 2001
- [j65]Terrence T. Ho, Paul W. Fieguth, Alan S. Willsky:
Computationally efficient steady-state multiscale estimation for 1-D diffusion processes. Autom. 37(3): 325-340 (2001) - [j64]Austin B. Frakt, Alan S. Willsky:
Computationally Efficient Stochastic Realization for Internal Multiscale Autoregressive Models. Multidimens. Syst. Signal Process. 12(2): 109-142 (2001) - [j63]Michael K. Schneider, Alan S. Willsky:
Krylov Subspace Estimation. SIAM J. Sci. Comput. 22(5): 1840-1864 (2001) - [j62]William W. Irving, Alan S. Willsky:
A canonical correlations approach to multiscale stochastic realization. IEEE Trans. Autom. Control. 46(10): 1514-1528 (2001) - [j61]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 Trans. Image Process. 10(8): 1169-1186 (2001) - [c50]Ron O. Dror, Thomas K. Leung, Edward H. Adelson, Alan S. Willsky:
Statistics of Real-World Illumination. CVPR (2) 2001: 164-171 - [c49]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 - [c48]Ron O. Dror, Edward H. Adelson, Alan S. Willsky:
Estimating surface reflectance properties from images under unknown illumination. Human Vision and Electronic Imaging 2001: 231-242 - [c47]Alexander T. Ihler, John W. Fisher III, Alan S. Willsky:
Nonparametric estimators for online signature authentication. ICASSP 2001: 3473-3476 - [c46]Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky:
Tree-based reparameterization for approximate inference on loopy graphs. NIPS 2001: 1001-1008 - 2000
- [j60]Ilya Pollak, Alan S. Willsky, Hamid Krim:
Image segmentation and edge enhancement with stabilized inverse diffusion equations. IEEE Trans. Image Process. 9(2): 256-266 (2000) - [j59]Michael K. Schneider, Paul W. Fieguth, William Clement Karl, Alan S. Willsky:
Multiscale methods for the segmentation and reconstruction of signals and images. IEEE Trans. Image Process. 9(3): 456-468 (2000) - [c45]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 - [c44]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 - [c43]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 - [c42]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 - [c41]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 - [c40]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
1990 – 1999
- 1999
- [j58]Seema Jaggi, William Clement Karl, Stéphane Mallat, Alan S. Willsky:
Silhouette recognition using high-resolution pursuit. Pattern Recognit. 32(5): 753-771 (1999) - [j57]Khalid Daoudi, Austin B. Frakt, Alan S. Willsky:
Multiscale Autoregressive Models and Wavelets. IEEE Trans. Inf. Theory 45(3): 828-845 (1999) - [j56]Michael M. Daniel, Alan S. Willsky:
The Modeling and Estimation of Statistically Self-Similar Processes in a Multiresolution Framework. IEEE Trans. Inf. Theory 45(3): 955-970 (1999) - [c39]Michael K. Schneider, Alan S. Willsky:
A Krylov subspace method for large estimation problems. ICASSP 1999: 1701-1704 - [c38]Ilya Pollak, Alan S. Willsky, Hamid Krim:
A nonlinear diffusion equation as a fast and optimal solver of edge detection problems. ICASSP 1999: 3449-3452 - [c37]Anthony J. Yezzi, Andy Tsai, Alan S. Willsky:
A Statistical Approach to Snakes for Bimodal and Trimodal Imagery. ICCV 1999: 898-903 - [c36]Anthony J. Yezzi, Andy Tsai, Alan S. Willsky:
Binary and Ternary Flows for Image Segmentation. ICIP (2) 1999: 1-5 - [c35]Terrence T. Ho, Paul W. Fieguth, Alan S. Willsky:
Recursive Multiscale Estimation of Space-Time Random Fields. ICIP (2) 1999: 867-870 - [c34]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 - 1998
- [j55]Paul W. Fieguth, William Clement Karl, Alan S. Willsky:
Efficient Multiresolution Counterparts to Variational Methods for Surface Reconstruction. Comput. Vis. Image Underst. 70(2): 157-176 (1998) - [j54]Austin B. Frakt, William Clement Karl, Alan S. Willsky:
A multiscale hypothesis testing approach to anomaly detection and localization from noisy tomographic data. IEEE Trans. Image Process. 7(6): 825-837 (1998) - [c33]Austin B. Frakt, Alan S. Willsky:
Efficient multiscale stochastic realization. ICASSP 1998: 2249-2252 - [c32]Cedric L. Logan, Hamid Krim, Alan S. Willsky:
An Estimation-Theoretic Technique for Motion-Compensated Synthetic-Aperture Array Imaging. ICIP (1) 1998: 9-13 - [c31]Ilya Pollak, Hamid Krim, Alan S. Willsky:
Stabilized Inverse Diffusion Equations and Segmentation of Vector-Valued Images. ICIP (3) 1998: 246-248 - [c30]Terrence T. Ho, Paul W. Fieguth, Alan S. Willsky:
Computationally Efficient Multiscale Estimation of Large-Scale Dynamic Systems. ICIP (3) 1998: 274-278 - [c29]Kenneth N. Ross, Ronald D. Chaney, George V. Cybenko, Daniel J. Burroughs, Alan S. Willsky:
Mobile agents in adaptive hierarchical Bayesian networks for global awareness. SMC 1998: 2207-2212 - 1997
- [j53]John P. Kaufhold, Michael K. Schneider, Alan S. Willsky, William Clement Karl:
A Statistical Method for Efficient Segmentation of MR Imagery. Int. J. Pattern Recognit. Artif. Intell. 11(8): 1213-1231 (1997) - [j52]Eric L. Miller, Alan S. Willsky:
Multiscale, Statistical Anomaly Detection Analysis and Algorithms for Linearized Inverse Scattering Problems. Multidimens. Syst. Signal Process. 8(1-2): 151-184 (1997) - [j51]Michael M. Daniel, Alan S. Willsky:
A multiresolution methodology for signal-level fusion and data assimilation with applications to remote sensing. Proc. IEEE 85(1): 164-180 (1997) - [j50]Charles H. Fosgate, Hamid Krim, William W. Irving, William Clement Karl, Alan S. Willsky:
Multiscale segmentation and anomaly enhancement of SAR imagery. IEEE Trans. Image Process. 6(1): 7-20 (1997) - [j49]Mickey Bhatia, William Clement Karl, Alan S. Willsky:
Tomographic reconstruction and estimation based on multiscale natural-pixel bases. IEEE Trans. Image Process. 6(3): 463-478 (1997) - [j48]William W. Irving, Paul W. Fieguth, Alan S. Willsky:
An overlapping tree approach to multiscale stochastic modeling and estimation. IEEE Trans. Image Process. 6(11): 1517-1529 (1997) - [j47]Rachel E. Learned, Alan S. Willsky, Don M. Boroson:
Low complexity optimal joint detection for oversaturated multiple access communications. IEEE Trans. Signal Process. 45(1): 113-123 (1997) - [c28]Andrew J. Kim, Hamid Krim, Alan S. Willsky:
Segmentation and Compression of SAR Imagery via Hierarchical Stochastic Modelling. ICIP (3) 1997: 488-491 - [c27]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 - [c26]Ilya Pollak, Alan S. Willsky, Hamid Krim:
Scale Space Analysis by Stabilized Inverse Diffusion Equations. Scale-Space 1997: 200-211 - 1996
- [j46]Lori Belcastro, William Clement Karl, Alan S. Willsky:
Tomographic Reconstruction of Polygons from Knot Location and Chord Length Measurements. CVGIP Graph. Model. Image Process. 58(3): 233-245 (1996) - [j45]William Clement Karl, Sanjeev R. Kulkarni, George C. Verghese, Alan S. Willsky:
Local tests for consistency of support hyperplane data. J. Math. Imaging Vis. 6(2-3): 249-267 (1996) - [j44]Eric Lawrence Miller, Alan S. Willsky:
A multiscale, statistically based inversion scheme for linearized inverse scattering problems. IEEE Trans. Geosci. Remote. Sens. 34(2): 346-357 (1996) - [j43]Peyman Milanfar, William Clement Karl, Alan S. Willsky:
A moment-based variational approach to tomographic reconstruction. IEEE Trans. Image Process. 5(3): 459-470 (1996) - [j42]Mickey Bhatia, William Clement Karl, Alan S. Willsky:
A wavelet-based method for multiscale tomographic reconstruction. IEEE Trans. Medical Imaging 15(1): 92-101 (1996) - [j41]Paul W. Fieguth, Alan S. Willsky:
Fractal estimation using models on multiscale trees. IEEE Trans. Signal Process. 44(5): 1297-1300 (1996) - [c25]Rachel E. Learned, Alan S. Willsky:
Low complexity optimal multiple access joint detection for linearly dependent user sets. ICASSP 1996: 1089-1092 - [c24]Michael K. Schneider, Paul W. Fieguth, William Clement Karl, Alan S. Willsky:
Multiscale methods for the segmentation of images. ICASSP 1996: 2247-2250 - [c23]Terrence T. Ho, Paul W. Fieguth, Alan S. Willsky:
Multiresolution stochastic models for the efficient solution of large-scale space-time estimation problems. ICASSP 1996: 3097-3100 - [c22]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 - [c21]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 - [c20]Charles H. Fosgate, Hamid Krim, Alan S. Willsky, William Clement Karl:
Multiscale segmentation and anomaly enhancement of SAR imagery. ICIP (3) 1996: 903-906 - 1995
- [j40]Toshio Mike Chin, William Clement Karl, Alan S. Willsky:
A distributed and iterative method for square root filtering in space-time estimation. Autom. 31(1): 67-82 (1995) - [j39]Mark R. Luettgen, Alan S. Willsky:
Multiscale smoothing error models. IEEE Trans. Autom. Control. 40(1): 173-175 (1995) - [j38]Paul W. Fieguth, William Clement Karl, Alan S. Willsky, Carl Wunsch:
Multiresolution optimal interpolation and statistical analysis of TOPEX/POSEIDON satellite altimetry. IEEE Trans. Geosci. Remote. Sens. 33(2): 280-292 (1995) - [j37]Mark R. Luettgen, Alan S. Willsky:
Likelihood calculation for a class of multiscale stochastic models, with application to texture discrimination. IEEE Trans. Image Process. 4(2): 194-207 (1995) - [j36]Seema Jaggi, William Clement Karl, Alan S. Willsky:
Estimation of dynamically evolving ellipsoids with applications to medical imaging. IEEE Trans. Medical Imaging 14(2): 249-258 (1995) - [j35]Peyman Milanfar, George C. Verghese, William Clement Karl, Alan S. Willsky:
Reconstructing polygons from moments with connections to array processing. IEEE Trans. Signal Process. 43(2): 432-443 (1995) - [c19]Rachel E. Learned, Stéphane Mallat, Bernhard Claus, Alan S. Willsky:
Geometric interpretation of multiaccess joint detection and the alternating projection algorithm. ICASSP 1995: 1193-1196 - [c18]Hamid Krim, Stéphane Mallat, David L. Donoho, Alan S. Willsky:
Best basis algorithm for signal enhancement. ICASSP 1995: 1561-1564 - [c17]Paul W. Fieguth, William Clement Karl, Alan S. Willsky:
Multiresolution statistical analysis and assimilation of large ocean data sets. ICASSP 1995: 2781-2784 - [c16]Paul W. Fieguth, William W. Irving, Alan S. Willsky:
Multiresolution model development for overlapping trees via canonical correlation analysis. ICIP 1995: 45-48 - [c15]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 - [c14]Michael M. Daniel, Alan S. Willsky, Dennis McLaughlin, David J. Rossi:
A multi-resolution approach for imaging hydraulic conductivity. ICIP 1995: 637-640 - 1994
- [j34]William Clement Karl, George C. Verghese, Alan S. Willsky:
Reconstructing Ellipsoids from Projections. CVGIP Graph. Model. Image Process. 56(2): 124-139 (1994) - [j33]Peyman Milanfar, William Clement Karl, Alan S. Willsky:
Reconstructing Binary Polygonal Objects from Projections: A Statistical View. CVGIP Graph. Model. Image Process. 56(5): 371-391 (1994) - [j32]Kenneth C. Chou, Alan S. Willsky, Albert Benveniste:
Multiscale recursive estimation, data fusion, and regularization. IEEE Trans. Autom. Control. 39(3): 464-478 (1994) - [j31]Kenneth C. Chou, Alan S. Willsky, Ramine Nikoukhah:
Multiscale systems, Kalman filters, and Riccati equations. IEEE Trans. Autom. Control. 39(3): 479-492 (1994) - [j30]Mark R. Luettgen, William Clement Karl, Alan S. Willsky:
Efficient multiscale regularization with applications to the computation of optical flow. IEEE Trans. Image Process. 3(1): 41-64 (1994) - [j29]Toshio Mike Chin, William Clement Karl, Alan S. Willsky:
Probabilistic and sequential computation of optical flow using temporal coherence. IEEE Trans. Image Process. 3(6): 773-788 (1994) - [c13]Paul W. Fieguth, Alan S. Willsky, William Clement Karl:
Multiresolution Stochastic Imaging of Satellite Oceanographic Altimetric Data. ICIP (2) 1994: 1-5 - [c12]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 - [c11]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 - [c10]Peyman Milanfar, William Clement Karl, Alan S. Willsky:
Moment-Based Geometric Image Reconstruction. ICIP (2) 1994: 825-829 - 1993
- [j28]Kenneth C. Chou, Stuart A. Golden, Alan S. Willsky:
Multiresolution stochastic models, data fusion, and wavelet transforms. Signal Process. 34(3): 257-282 (1993) - [j27]Jerry L. Prince, Alan S. Willsky:
Hierarchical reconstruction using geometry and sinogram restoration. IEEE Trans. Image Process. 2(3): 401-416 (1993) - [j26]Mark R. Luettgen, William Clement Karl, Alan S. Willsky, Robert R. Tenney:
Multiscale representations of Markov random fields. IEEE Trans. Signal Process. 41(12): 3377-3396 (1993) - [c9]Mark R. Luettgen, W. Clem Karl, Alan S. Willsky, Robert R. Tenney:
Multiscale representations of Markov random fields. ICASSP (5) 1993: 41-44 - 1992
- [j25]Cüneyt M. Özveren, Alan S. Willsky:
Aggregation and multi-level control in discrete event dynamic systems. Autom. 28(3): 565-577 (1992) - [j24]Cüneyt M. Özveren, Alan S. Willsky:
Invertibility of Discrete-Event Dynamic Systems. Math. Control. Signals Syst. 5(4): 365-390 (1992) - [j23]Toshio Mike Chin, William Clement Karl, Alan S. Willsky:
Sequential filtering for multi-frame visual reconstruction. Signal Process. 28(3): 311-333 (1992) - [j22]Ingrid Daubechies, Stéphane Mallat, Alan S. Willsky:
Introduction to the special issue on wavelet transforms and multiresolution signal analysis. IEEE Trans. Inf. Theory 38(2): 529-532 (1992) - [j21]Michèle Basseville, Albert Benveniste, Kenneth C. Chou, Stuart A. Golden, Ramine Nikoukhah, Alan S. Willsky:
Modeling and estimation of multiresolution stochastic processes. IEEE Trans. Inf. Theory 38(2): 766-784 (1992) - [j20]Michèle Basseville, Albert Benveniste, Alan S. Willsky:
Multiscale autoregressive processes. I. Schur-Levinson parametrizations. IEEE Trans. Signal Process. 40(8): 1915-1934 (1992) - [j19]Michèle Basseville, Albert Benveniste, Alan S. Willsky:
Multiscale autoregressive processes. II. Lattice structures for whitening and modeling. IEEE Trans. Signal Process. 40(8): 1935-1954 (1992) - [c8]Alan S. Willsky:
Opportunities and Challenges in Signal Processing and Analysis. 25th Anniversary of INRIA 1992: 331-338 - 1991
- [j18]Jerry L. Prince, Alan S. Willsky:
Convex set reconstruction using prior shape information. CVGIP Graph. Model. Image Process. 53(5): 413-427 (1991) - [j17]Cüneyt M. Özveren, Alan S. Willsky, Panos J. Antsaklis:
Stability and Stabilizability of Discrete Event Dynamic Systems. J. ACM 38(3): 730-752 (1991) - [j16]Ahmed H. Tewfik, Bernard C. Levy, Alan S. Willsky:
Internal models and recursive estimation for 2-D isotropic random fields. IEEE Trans. Inf. Theory 37(4): 1055-1066 (1991) - [c7]Kenneth C. Chou, Stuart A. Golden, Alan S. Willsky:
Modeling and estimation of multiscale stochastic processes. ICASSP 1991: 1709-1712 - 1990
- [j15]Jerry L. Prince, Alan S. Willsky:
Reconstructing Convex Sets from Support Line Measurements. IEEE Trans. Pattern Anal. Mach. Intell. 12(4): 377-389 (1990)
1980 – 1989
- 1989
- [c6]Jerry L. Prince, Alan S. Willsky:
A hierarchical algorithm for limited-angle reconstruction. ICASSP 1989: 1468-1471 - 1988
- [j14]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) - [j13]Antony J. Weiss, Alan S. Willsky, Bernard C. Levy:
Maximum likelihood array processing for the estimation of superimposed signals. Proc. IEEE 76(2): 203-205 (1988) - [j12]Ahmed H. Tewfik, Bernard C. Levy, Alan S. Willsky:
Sampling theorems for two-dimensional isotropic random fields. IEEE Trans. Inf. Theory 34(5): 1092-1096 (1988) - [j11]Ahmed H. Tewfik, Bernard C. Levy, Alan S. Willsky:
An efficient maximum entropy technique for 2-D isotropic random fields. IEEE Trans. Acoust. Speech Signal Process. 36(5): 797-812 (1988) - [j10]Anthony J. Weiss, Alan S. Willsky, Bernard C. Levy:
Eigenstructure approach for array processing with unknown intensity coefficients. IEEE Trans. Acoust. Speech Signal Process. 36(10): 1613-1617 (1988) - [c5]Ahmed H. Tewfik, Bernard C. Levy, Alan S. Willsky:
An efficient maximum entropy technique for 2-D isotropic random fields. ICASSP 1988: 741-744 - [c4]Jerry L. Prince, Alan S. Willsky:
A projection space map method for limited angle reconstruction. ICASSP 1988: 1268-1271 - 1986
- [j9]Xi-Cheng Lou, Alan S. Willsky, George C. Verghese:
Optimally robust redundancy relations for failure detection in uncertain systems. Autom. 22(3): 333-344 (1986) - [j8]Martin G. Bello, Alan S. Willsky, Bernard C. Levy, David A. Castañón:
Smoothing error dynamics and their use in the solution of smoothing and mapping problems. IEEE Trans. Inf. Theory 32(4): 483-495 (1986) - 1984
- [c3]David J. Rossi, Alan S. Willsky:
Maximum likelihood estimation of object size and orientation from projection data. ICASSP 1984: 538-541 - 1983
- [j7]Bernard C. Levy, David A. Castañón, George C. Verghese, Alan S. Willsky:
A scattering framework for decentralized estimation problems. Autom. 19(4): 373-384 (1983) - [c2]David J. Rossi, Alan S. Willsky:
Reconstruction from projections based on detection and estimation of objects. ICASSP 1983: 128-130
1970 – 1979
- 1978
- [j6]Alan S. Willsky:
On the Algebraic Structure of Certain Partially Observable Finite-State Markov Processes. Inf. Control. 38(2): 179-212 (1978) - 1976
- [j5]Alan S. Willsky:
A survey of design methods for failure detection in dynamic systems. Autom. 12(6): 601-611 (1976) - 1975
- [j4]Alan S. Willsky:
Invertibility of Finite Group Homomorphic Sequential Systems. Inf. Control. 27(2): 126-147 (1975) - [j3]Alan S. Willsky:
Estimation and detection of signals in multiplicative noise (Corresp.). IEEE Trans. Inf. Theory 21(4): 472-474 (1975) - 1974
- [j2]Alan S. Willsky:
Fourier series and estimation on the circle with applications to synchronous communication-I: Analysis. IEEE Trans. Inf. Theory 20(5): 577-583 (1974) - [j1]Alan S. Willsky:
Fourier series and estimation on the circle with applications to synchronous communication-II: Implementation. IEEE Trans. Inf. Theory 20(5): 584-590 (1974) - [c1]Roger W. Brockett, Alan S. Willsky:
Some structural properties of automata defined on groups. Category Theory Applied to Computation and Control 1974: 112-118
Coauthor Index
Anima Anandkumar
aka: Animashree Anandkumar
aka: Animashree Anandkumar
Alexander Ihler
aka: Alexander T. Ihler
aka: Alexander T. Ihler
W. Clem Karl
aka: William Clement Karl
aka: William Clement Karl
Anthony J. Yezzi
aka: Anthony J. Yezzi Jr.
aka: Anthony J. Yezzi Jr.
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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:18 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
