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Alan S. Willsky: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Roger W. Brockett, Alan S. Willsky
    Some structural properties of automata defined on groups. [Citation Graph (0, 0)][DBLP]
    Category Theory Applied to Computation and Control, 1974, pp:112-118 [Conf]
  2. Ron O. Dror, Thomas K. Leung, Edward H. Adelson, Alan S. Willsky
    Statistics of Real-World Illumination. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2001, pp:164-171 [Conf]
  3. Erik B. Sudderth, Alexander T. Ihler, William T. Freeman, Alan S. Willsky
    Nonparametric Belief Propagation. [Citation Graph (0, 0)][DBLP]
    CVPR (1), 2003, pp:605-612 [Conf]
  4. Erik B. Sudderth, Antonio B. Torralba, William T. Freeman, Alan S. Willsky
    Depth from Familiar Objects: A Hierarchical Model for 3D Scenes. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2006, pp:2410-2417 [Conf]
  5. Andy Tsai, Anthony J. Yezzi, Alan S. Willsky
    A Curve Evolution Approach to Smoothing and Segmentation Using the Mumford-Shah Functional. [Citation Graph (0, 0)][DBLP]
    CVPR, 2000, pp:1119-1124 [Conf]
  6. Andy Tsai, Anthony J. Yezzi, William M. Wells III, Clare Tempany, Dewey Tucker, Ayres C. Fan, W. Eric L. Grimson, Alan S. Willsky
    Model-Based Curve Evolution Technique for Image Segmentation. [Citation Graph (0, 0)][DBLP]
    CVPR (1), 2001, pp:463-468 [Conf]
  7. Erik B. Sudderth, Antonio B. Torralba, William T. Freeman, Alan S. Willsky
    Learning Hierarchical Models of Scenes, Objects, and Parts. [Citation Graph (0, 0)][DBLP]
    ICCV, 2005, pp:1331-1338 [Conf]
  8. Anthony J. Yezzi, Andy Tsai, Alan S. Willsky
    A Statistical Approach to Snakes for Bimodal and Trimodal Imagery. [Citation Graph (0, 0)][DBLP]
    ICCV, 1999, pp:898-903 [Conf]
  9. Mickey Bhatia, William Clement Karl, Alan S. Willsky
    Wavelet-Based Multiscale Stochastic Models for Efficient Tomographic Discrimination of Fractal Fields. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 1994, pp:135-139 [Conf]
  10. Müjdat Çetin, William Clement Karl, Alan S. Willsky
    Edge-preserving image reconstruction for coherent imaging applications. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 2002, pp:481-484 [Conf]
  11. Michael M. Daniel, Alan S. Willsky, Dennis McLaughlin, Dave Rossi
    A multi-resolution approach for imaging hydraulic conductivity. [Citation Graph (0, 0)][DBLP]
    ICIP, 1995, pp:637-640 [Conf]
  12. Paul W. Fieguth, William W. Irving, Alan S. Willsky
    Multiresolution model development for overlapping trees via canonical correlation analysis. [Citation Graph (0, 0)][DBLP]
    ICIP, 1995, pp:45-48 [Conf]
  13. Paul W. Fieguth, Alan S. Willsky, William Clement Karl
    Multiresolution Stochastic Imaging of Satellite Oceanographic Altimetric Data. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 1994, pp:1-5 [Conf]
  14. Terrence T. Ho, Paul W. Fieguth, Alan S. Willsky
    Computationally Efficient Multiscale Estimation of Large-Scale Dynamic Systems. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 1998, pp:274-278 [Conf]
  15. Terrence T. Ho, Paul W. Fieguth, Alan S. Willsky
    Recursive Multiscale Estimation of Space-Time Random Fields. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 1999, pp:867-870 [Conf]
  16. John P. Kaufhold, Michael K. Schneider, William Clement Karl, Alan S. Willsky
    A Recursive Estimation Approach to the Segmentation of MR Imagery. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 1997, pp:506-509 [Conf]
  17. Junmo Kim, John W. Fisher III, Müjdat Çetin, Anthony J. Yezzi, Alan S. Willsky
    Incorporating complex statistical information in active contour-based image segmentation. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 2003, pp:655-658 [Conf]
  18. 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. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 2002, pp:797-800 [Conf]
  19. Andrew J. Kim, Hamid Krim, Alan S. Willsky
    Segmentation and Compression of SAR Imagery via Hierarchical Stochastic Modelling. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 1997, pp:488-491 [Conf]
  20. Junmo Kim, Andy Tsai, Müjdat Çetin, Alan S. Willsky
    A curve evolution-based variational approach to simultaneous image restoration and segmentation. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2002, pp:109-112 [Conf]
  21. Cedric L. Logan, Hamid Krim, Alan S. Willsky
    An Estimation-Theoretic Technique for Motion-Compensated Synthetic-Aperture Array Imaging. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 1998, pp:9-13 [Conf]
  22. Peyman Milanfar, William Clement Karl, Alan S. Willsky
    Moment-Based Geometric Image Reconstruction. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 1994, pp:825-829 [Conf]
  23. Peyman Milanfar, Robert R. Tenney, Robert B. Washburn, Alan S. Willsky
    Modeling and Estimation for a Class of Multiresolution Random Fields. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 1994, pp:397-401 [Conf]
  24. Ilya Pollak, Hamid Krim, Alan S. Willsky
    Stabilized Inverse Diffusion Equations and Segmentation of Vector-Valued Images. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 1998, pp:246-248 [Conf]
  25. Andy Tsai, Anthony J. Yezzi, Alan S. Willsky
    Curve Evolution, Boundary-Value Stochastic Processes, the Mumford-Shah Problem, and Missing Data Applications. [Citation Graph (0, 0)][DBLP]
    ICIP, 2000, pp:- [Conf]
  26. 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. [Citation Graph (0, 0)][DBLP]
    ICIP, 2000, pp:- [Conf]
  27. Anthony J. Yezzi, Andy Tsai, Alan S. Willsky
    Binary and Ternary Flows for Image Segmentation. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 1999, pp:1-5 [Conf]
  28. Alan S. Willsky
    Opportunities and Challenges in Signal Processing and Analysis. [Citation Graph (0, 0)][DBLP]
    25th Anniversary of INRIA, 1992, pp:331-338 [Conf]
  29. Ayres C. Fan, William M. Wells III, John W. Fisher III, Müjdat Çetin, Steven Haker, Robert V. Mulkern, Clare Tempany, Alan S. Willsky
    A Unified Variational Approach to Denoising and Bias Correction in MR. [Citation Graph (0, 0)][DBLP]
    IPMI, 2003, pp:148-159 [Conf]
  30. Walter Sun, Müjdat Çetin, Raymond Chan, Vivek Reddy, Godtfred Holmvang, Venkat Chandar, Alan S. Willsky
    Segmenting and Tracking the Left Ventricle by Learning the Dynamics in Cardiac Images. [Citation Graph (0, 0)][DBLP]
    IPMI, 2005, pp:553-565 [Conf]
  31. Andy Tsai, William M. Wells III, Clare Tempany, W. Eric L. Grimson, Alan S. Willsky
    Coupled Multi-shape Model and Mutual Information for Medical Image Segmentation. [Citation Graph (0, 0)][DBLP]
    IPMI, 2003, pp:185-197 [Conf]
  32. Alexander T. Ihler, John W. Fisher III, Randolph L. Moses, Alan S. Willsky
    Nonparametric belief propagation for self-calibration in sensor networks. [Citation Graph (0, 0)][DBLP]
    IPSN, 2004, pp:225-233 [Conf]
  33. Alexander T. Ihler, John W. Fisher III, Alan S. Willsky
    Hypothesis Testing over Factorizations for Data Association. [Citation Graph (0, 0)][DBLP]
    IPSN, 2003, pp:239-253 [Conf]
  34. 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. [Citation Graph (0, 0)][DBLP]
    MICCAI, 2000, pp:62-71 [Conf]
  35. 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. [Citation Graph (0, 0)][DBLP]
    MICCAI, 1999, pp:473-480 [Conf]
  36. Andy Tsai, William M. Wells III, Simon K. Warfield, Alan S. Willsky
    Level Set Methods in an EM Framework for Shape Classification and Estimation. [Citation Graph (0, 0)][DBLP]
    MICCAI (1), 2004, pp:1-9 [Conf]
  37. Andy Tsai, Anthony J. Yezzi, Alan S. Willsky
    A Curve Evolution Approach to Medical Image Magnification via the Mumford-Shah Functional. [Citation Graph (0, 0)][DBLP]
    MICCAI, 2000, pp:246-255 [Conf]
  38. Alexander T. Ihler, John W. Fisher III, Alan S. Willsky
    Message Errors in Belief Propagation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  39. Alexander T. Ihler, Erik B. Sudderth, William T. Freeman, Alan S. Willsky
    Efficient Multiscale Sampling from Products of Gaussian Mixtures. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  40. Jason K. Johnson, Dmitry M. Malioutov, Alan S. Willsky
    Walk-Sum Interpretation and Analysis of Gaussian Belief Propagation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  41. O. Patrick Kreidl, Alan S. Willsky
    Inference with Minimal Communication: a Decision-Theoretic Variational Approach. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  42. Erik B. Sudderth, Michael I. Mandel, William T. Freeman, Alan S. Willsky
    Distributed Occlusion Reasoning for Tracking with Nonparametric Belief Propagation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  43. Erik B. Sudderth, Antonio B. Torralba, William T. Freeman, Alan S. Willsky
    Describing Visual Scenes using Transformed Dirichlet Processes. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  44. Martin J. Wainwright, Tommi Jaakkola, Alan S. Willsky
    Tree-based reparameterization for approximate inference on loopy graphs. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1001-1008 [Conf]
  45. Martin J. Wainwright, Tommi Jaakkola, Alan S. Willsky
    Exact MAP Estimates by (Hyper)tree Agreement. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:809-816 [Conf]
  46. Martin J. Wainwright, Erik B. Sudderth, Alan S. Willsky
    Tree-Based Modeling and Estimation of Gaussian Processes on Graphs with Cycles. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:661-667 [Conf]
  47. Ilya Pollak, Alan S. Willsky, Hamid Krim
    Scale Space Analysis by Stabilized Inverse Diffusion Equations. [Citation Graph (0, 0)][DBLP]
    Scale-Space, 1997, pp:200-211 [Conf]
  48. Martin J. Wainwright, Tommi Jaakkola, Alan S. Willsky
    A New Class of upper Bounds on the Log Partition Function. [Citation Graph (0, 0)][DBLP]
    UAI, 2002, pp:536-543 [Conf]
  49. Lori Belcastro, William C. Carl, Alan S. Willsky
    Tomographic Reconstruction of Polygons from Knot Location and Chord Length Measurements. [Citation Graph (0, 0)][DBLP]
    CVGIP: Graphical Model and Image Processing, 1996, v:58, n:3, pp:233-245 [Journal]
  50. William Clement Karl, George C. Verghese, Alan S. Willsky
    Reconstructing Ellipsoids from Projections. [Citation Graph (0, 0)][DBLP]
    CVGIP: Graphical Model and Image Processing, 1994, v:56, n:2, pp:124-139 [Journal]
  51. Peyman Milanfar, William Clement Karl, Alan S. Willsky
    Reconstructing Binary Polygonal Objects from Projections: A Statistical View. [Citation Graph (0, 0)][DBLP]
    CVGIP: Graphical Model and Image Processing, 1994, v:56, n:5, pp:371-391 [Journal]
  52. Jerry L. Prince, Alan S. Willsky
    Convex set reconstruction using prior shape information. [Citation Graph (0, 0)][DBLP]
    CVGIP: Graphical Model and Image Processing, 1991, v:53, n:5, pp:413-427 [Journal]
  53. Paul W. Fieguth, William Clement Karl, Alan S. Willsky
    Efficient Multiresolution Counterparts to Variational Methods for Surface Reconstruction. [Citation Graph (0, 0)][DBLP]
    Computer Vision and Image Understanding, 1998, v:70, n:2, pp:157-176 [Journal]
  54. Alan S. Willsky
    Invertibility of Finite Group Homomorphic Sequential Systems [Citation Graph (0, 0)][DBLP]
    Information and Control, 1975, v:27, n:2, pp:126-147 [Journal]
  55. Alan S. Willsky
    On the Algebraic Structure of Certain Partially Observable Finite-State Markov Processes [Citation Graph (0, 0)][DBLP]
    Information and Control, 1978, v:38, n:2, pp:179-212 [Journal]
  56. John P. Kaufhold, Michael K. Schneider, Alan S. Willsky, William Clement Karl
    A Statistical Method for Efficient Segmentation of MR Imagery. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 1997, v:11, n:8, pp:1213-1231 [Journal]
  57. Cüneyt M. Özveren, Alan S. Willsky, Panos J. Antsaklis
    Stability and Stabilizability of Discrete Event Dynamic Systems. [Citation Graph (0, 0)][DBLP]
    J. ACM, 1991, v:38, n:3, pp:730-752 [Journal]
  58. Jan Robin Rohlicek, Alan S. Willsky
    The reduction of perturbed Markov generators: an algorithm exposing the role of transient states. [Citation Graph (0, 0)][DBLP]
    J. ACM, 1988, v:35, n:3, pp:675-696 [Journal]
  59. Alexander T. Ihler, John W. Fisher III, Alan S. Willsky
    Loopy Belief Propagation: Convergence and Effects of Message Errors. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2005, v:6, n:, pp:905-936 [Journal]
  60. Dmitry M. Malioutov, Jason K. Johnson, Alan S. Willsky
    Walk-Sums and Belief Propagation in Gaussian Graphical Models. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:2031-2064 [Journal]
  61. Lakshminarayan Srinivasan, Uri T. Eden, Alan S. Willsky, Emery N. Brown
    A State-Space Analysis for Reconstruction of Goal-Directed Movements Using Neural Signals. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2006, v:18, n:10, pp:2465-2494 [Journal]
  62. Jerry L. Prince, Alan S. Willsky
    Reconstructing Convex Sets from Support Line Measurements. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1990, v:12, n:4, pp:377-389 [Journal]
  63. Seema Jaggi, William Clement Karl, Stéphane Mallat, Alan S. Willsky
    Silhouette recognition using high-resolution pursuit. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1999, v:32, n:5, pp:753-771 [Journal]
  64. Mickey Bhatia, William Clement Karl, Alan S. Willsky
    Tomographic reconstruction and estimation based on multiscale natural-pixel bases. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1997, v:6, n:3, pp:463-478 [Journal]
  65. Toshio Mike Chin, William Clement Karl, Alan S. Willsky
    Probabilistic and sequential computation of optical flow using temporal coherence. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1994, v:3, n:6, pp:773-788 [Journal]
  66. Charles H. Fosgate, Hamid Krim, William W. Irving, William Clement Karl, Alan S. Willsky
    Multiscale segmentation and anomaly enhancement of SAR imagery. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1997, v:6, n:1, pp:7-20 [Journal]
  67. Austin B. Frakt, William Clement Karl, Alan S. Willsky
    A multiscale hypothesis testing approach to anomaly detection and localization from noisy tomographic data. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1998, v:7, n:6, pp:825-837 [Journal]
  68. William W. Irving, Paul W. Fieguth, Alan S. Willsky
    An overlapping tree approach to multiscale stochastic modeling and estimation. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1997, v:6, n:11, pp:1517-1529 [Journal]
  69. 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. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2005, v:14, n:10, pp:1486-1502 [Journal]
  70. Mark R. Luettgen, William Clement Karl, Alan S. Willsky
    Efficient multiscale regularization with applications to the computation of optical flow. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1994, v:3, n:1, pp:41-64 [Journal]
  71. Mark R. Luettgen, Alan S. Willsky
    Likelihood calculation for a class of multiscale stochastic models, with application to texture discrimination. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1995, v:4, n:2, pp:194-207 [Journal]
  72. Peyman Milanfar, William Clement Karl, Alan S. Willsky
    A moment-based variational approach to tomographic reconstruction. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1996, v:5, n:3, pp:459-470 [Journal]
  73. Ilya Pollak, Alan S. Willsky, Hamid Krim
    Image segmentation and edge enhancement with stabilized inverse diffusion equations. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2000, v:9, n:2, pp:256-266 [Journal]
  74. Jerry L. Prince, Alan S. Willsky
    Hierarchical reconstruction using geometry and sinogram restoration. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1993, v:2, n:3, pp:401-416 [Journal]
  75. Michael K. Schneider, Paul W. Fieguth, William Clement Karl, Alan S. Willsky
    Multiscale methods for the segmentation and reconstruction of signals and images. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2000, v:9, n:3, pp:456-468 [Journal]
  76. Andy Tsai, Anthony J. Yezzi Jr., Alan S. Willsky
    Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2001, v:10, n:8, pp:1169-1186 [Journal]
  77. Michèle Basseville, Albert Benveniste, Kenneth C. Chou, Stuart A. Golden, Ramine Nikoukhah, Alan S. Willsky
    Modeling and estimation of multiresolution stochastic processes. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1992, v:38, n:2, pp:766-784 [Journal]
  78. 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. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1986, v:32, n:4, pp:483-495 [Journal]
  79. Michael M. Daniel, Alan S. Willsky
    The Modeling and Estimation of Statistically Self-Similar Processes in a Multiresolution Framework. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1999, v:45, n:3, pp:955-970 [Journal]
  80. Khalid Daoudi, Austin B. Frakt, Alan S. Willsky
    Multiscale Autoregressive Models and Wavelets. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1999, v:45, n:3, pp:828-845 [Journal]
  81. Ingrid Daubechies, Stéphane Mallat, Alan S. Willsky
    Introduction to the special issue on wavelet transforms and multiresolution signal analysis. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1992, v:38, n:2, pp:529-532 [Journal]
  82. Austin B. Frakt, Hanoch Lev-Ari, Alan S. Willsky
    A generalized Levinson algorithm for covariance extension with application to multiscale autoregressive modeling. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2003, v:49, n:2, pp:411-424 [Journal]
  83. Ahmed H. Tewfik, Bernard C. Levy, Alan S. Willsky
    Sampling theorems for two-dimensional isotropic random fields. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1988, v:34, n:5, pp:1092-0 [Journal]
  84. Ahmed H. Tewfik, Bernard C. Levy, Alan S. Willsky
    Internal models and recursive estimation for 2-D isotropic random fields. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1991, v:37, n:4, pp:1055-1066 [Journal]
  85. Martin J. Wainwright, Tommi Jaakkola, Alan S. Willsky
    Tree-based reparameterization framework for analysis of sum-product and related algorithms. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2003, v:49, n:5, pp:1120-1146 [Journal]
  86. Martin J. Wainwright, Tommi Jaakkola, Alan S. Willsky
    A new class of upper bounds on the log partition function. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2005, v:51, n:7, pp:2313-2335 [Journal]
  87. Martin J. Wainwright, Tommi Jaakkola, Alan S. Willsky
    MAP estimation via agreement on trees: message-passing and linear programming. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2005, v:51, n:11, pp:3697-3717 [Journal]
  88. Andy Tsai, Anthony J. Yezzi, William M. Wells III, Clare 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. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 2003, v:22, n:2, pp:137-154 [Journal]
  89. Andy Tsai, Carl-Fredrik Westin, Alfred O. Hero, Alan S. Willsky
    Fiber Tract Clustering on Manifolds With Dual Rooted-Graphs. [Citation Graph (0, 0)][DBLP]
    CVPR, 2007, pp:- [Conf]
  90. Ayres C. Fan, John W. Fisher III, William M. Wells III, James J. Levitt, Alan S. Willsky
    MCMC Curve Sampling for Image Segmentation. [Citation Graph (0, 0)][DBLP]
    MICCAI (2), 2007, pp:477-485 [Conf]
  91. Jason K. Johnson, Dmitry M. Malioutov, Alan S. Willsky
    Lagrangian Relaxation for MAP Estimation in Graphical Models [Citation Graph (0, 0)][DBLP]
    CoRR, 2007, v:0, n:, pp:- [Journal]
  92. Junmo Kim, Müjdat Çetin, Alan S. Willsky
    Nonparametric shape priors for active contour-based image segmentation. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2007, v:87, n:12, pp:3021-3044 [Journal]

  93. An HDP-HMM for systems with state persistence. [Citation Graph (, )][DBLP]


  94. Exploiting sparse Markov and covariance structure in multiresolution models. [Citation Graph (, )][DBLP]


  95. Segmentation of the evolving left ventricle by learning the dynamics. [Citation Graph (, )][DBLP]


  96. Linear programming analysis of loopy belief propagation for weighted matching. [Citation Graph (, )][DBLP]


  97. Message Passing for Max-weight Independent Set. [Citation Graph (, )][DBLP]


  98. Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis. [Citation Graph (, )][DBLP]


  99. Loop Series and Bethe Variational Bounds in Attractive Graphical Models. [Citation Graph (, )][DBLP]


  100. Nonparametric Bayesian Learning of Switching Linear Dynamical Systems. [Citation Graph (, )][DBLP]


  101. Maximum entropy relaxation for multiscale graphical model selection. [Citation Graph (, )][DBLP]


  102. Learning max-weight discriminative forests. [Citation Graph (, )][DBLP]


  103. Compressed sensing with sequential observations. [Citation Graph (, )][DBLP]


  104. MCMC curve sampling and geometric conditional simulation. [Citation Graph (, )][DBLP]


  105. MAP estimation via agreement on (hyper)trees: Message-passing and linear programming [Citation Graph (, )][DBLP]


  106. Message-passing for Maximum Weight Independent Set [Citation Graph (, )][DBLP]


  107. A Large-Deviation Analysis of the Maximum-Likelihood Learning of Markov Tree Structures [Citation Graph (, )][DBLP]


  108. Learning Gaussian Tree Models: Analysis of Error Exponents and Extremal Structures [Citation Graph (, )][DBLP]


  109. Sequential Compressed Sensing [Citation Graph (, )][DBLP]


  110. Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates [Citation Graph (, )][DBLP]


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