2008 | ||
---|---|---|
109 | EE | Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, Alan S. Willsky: An HDP-HMM for systems with state persistence. ICML 2008: 312-319 |
108 | EE | Walter Sun, Müjdat Çetin, Raymond Chan, Alan S. Willsky: Segmentation of the evolving left ventricle by learning the dynamics. ISBI 2008: 229-232 |
107 | EE | Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, Alan S. Willsky: Nonparametric Bayesian Learning of Switching Linear Dynamical Systems. NIPS 2008: 457-464 |
106 | EE | Sujay Sanghavi, Devavrat Shah, Alan S. Willsky: Message-passing for Maximum Weight Independent Set CoRR abs/0807.5091: (2008) |
105 | EE | 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) |
104 | EE | Walter Sun, Müdat Çetin, Raymond 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) |
103 | EE | Erik B. Sudderth, Antonio B. 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) |
2007 | ||
102 | EE | Andy Tsai, Carl-Fredrik Westin, Alfred O. Hero, Alan S. Willsky: Fiber Tract Clustering on Manifolds With Dual Rooted-Graphs. CVPR 2007 |
101 | EE | 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 |
100 | EE | Venkat Chandrasekaran, Jason K. Johnson, Alan S. Willsky: Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis. NIPS 2007 |
99 | EE | Sujay Sanghavi, Dmitry M. Malioutov, Alan S. Willsky: Linear programming analysis of loopy belief propagation for weighted matching. NIPS 2007 |
98 | EE | Erik B. Sudderth, Martin J. Wainwright, Alan S. Willsky: Loop Series and Bethe Variational Bounds in Attractive Graphical Models. NIPS 2007 |
97 | EE | Sujay Sanghavi, Devavrat Shah, Alan S. Willsky: Message Passing for Max-weight Independent Set. NIPS 2007 |
96 | EE | Jason K. Johnson, Dmitry M. Malioutov, Alan S. Willsky: Lagrangian Relaxation for MAP Estimation in Graphical Models CoRR abs/0710.0013: (2007) |
95 | EE | 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) |
94 | EE | Junmo Kim, Müjdat Çetin, Alan S. Willsky: Nonparametric shape priors for active contour-based image segmentation. Signal Processing 87(12): 3021-3044 (2007) |
2006 | ||
93 | EE | Erik B. Sudderth, Antonio B. Torralba, William T. Freeman, Alan S. Willsky: Depth from Familiar Objects: A Hierarchical Model for 3D Scenes. CVPR (2) 2006: 2410-2417 |
92 | EE | 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) |
91 | EE | 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) |
2005 | ||
90 | EE | Erik B. Sudderth, Antonio B. Torralba, William T. Freeman, Alan S. Willsky: Learning Hierarchical Models of Scenes, Objects, and Parts. ICCV 2005: 1331-1338 |
89 | EE | 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. IPMI 2005: 553-565 |
88 | EE | Erik B. Sudderth, Antonio B. Torralba, William T. Freeman, Alan S. Willsky: Describing Visual Scenes using Transformed Dirichlet Processes. NIPS 2005 |
87 | EE | O. Patrick Kreidl, Alan S. Willsky: Inference with Minimal Communication: a Decision-Theoretic Variational Approach. NIPS 2005 |
86 | EE | Jason K. Johnson, Dmitry M. Malioutov, Alan S. Willsky: Walk-Sum Interpretation and Analysis of Gaussian Belief Propagation. NIPS 2005 |
85 | EE | 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) |
84 | EE | 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) |
83 | EE | 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) |
82 | EE | 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) |
81 | EE | 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) |
80 | EE | 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) |
79 | EE | 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) |
78 | EE | 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) |
2004 | ||
77 | EE | 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 |
76 | EE | 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 |
75 | EE | Erik B. Sudderth, Michael I. Mandel, William T. Freeman, Alan S. Willsky: Distributed Occlusion Reasoning for Tracking with Nonparametric Belief Propagation. NIPS 2004 |
74 | EE | Alexander T. Ihler, John W. Fisher III, Alan S. Willsky: Message Errors in Belief Propagation. NIPS 2004 |
73 | EE | 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) |
2003 | ||
72 | EE | Erik B. Sudderth, Alexander T. Ihler, William T. Freeman, Alan S. Willsky: Nonparametric Belief Propagation. CVPR (1) 2003: 605-612 |
71 | 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 | |
70 | EE | 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 |
69 | EE | 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 |
68 | EE | Alexander T. Ihler, John W. Fisher III, Alan S. Willsky: Hypothesis Testing over Factorizations for Data Association. IPSN 2003: 239-253 |
67 | EE | Alexander T. Ihler, Erik B. Sudderth, William T. Freeman, Alan S. Willsky: Efficient Multiscale Sampling from Products of Gaussian Mixtures. NIPS 2003 |
66 | 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) | |
65 | 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) | |
64 | 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) | |
2002 | ||
63 | 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 | |
62 | Müjdat Çetin, William Clement Karl, Alan S. Willsky: Edge-preserving image reconstruction for coherent imaging applications. ICIP (2) 2002: 481-484 | |
61 | 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 | |
60 | EE | Martin J. Wainwright, Tommi Jaakkola, Alan S. Willsky: Exact MAP Estimates by (Hyper)tree Agreement. NIPS 2002: 809-816 |
59 | Martin J. Wainwright, Tommi Jaakkola, Alan S. Willsky: A New Class of upper Bounds on the Log Partition Function. UAI 2002: 536-543 | |
2001 | ||
58 | EE | 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 |
57 | EE | Ron O. Dror, Thomas K. Leung, Edward H. Adelson, Alan S. Willsky: Statistics of Real-World Illumination. CVPR (2) 2001: 164-171 |
56 | EE | Martin J. Wainwright, Tommi Jaakkola, Alan S. Willsky: Tree-based reparameterization for approximate inference on loopy graphs. NIPS 2001: 1001-1008 |
55 | EE | 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) |
2000 | ||
54 | EE | 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 |
53 | Andy Tsai, Anthony J. Yezzi, Alan S. Willsky: Curve Evolution, Boundary-Value Stochastic Processes, the Mumford-Shah Problem, and Missing Data Applications. ICIP 2000 | |
52 | 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 | |
51 | 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 | |
50 | 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 | |
49 | 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 | |
48 | EE | 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) |
47 | EE | 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) |
1999 | ||
46 | EE | Anthony J. Yezzi, Andy Tsai, Alan S. Willsky: A Statistical Approach to Snakes for Bimodal and Trimodal Imagery. ICCV 1999: 898-903 |
45 | Anthony J. Yezzi, Andy Tsai, Alan S. Willsky: Binary and Ternary Flows for Image Segmentation. ICIP (2) 1999: 1-5 | |
44 | Terrence T. Ho, Paul W. Fieguth, Alan S. Willsky: Recursive Multiscale Estimation of Space-Time Random Fields. ICIP (2) 1999: 867-870 | |
43 | 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 | |
42 | Khalid Daoudi, Austin B. Frakt, Alan S. Willsky: Multiscale Autoregressive Models and Wavelets. IEEE Transactions on Information Theory 45(3): 828-845 (1999) | |
41 | 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) | |
40 | EE | Seema Jaggi, William Clement Karl, Stéphane Mallat, Alan S. Willsky: Silhouette recognition using high-resolution pursuit. Pattern Recognition 32(5): 753-771 (1999) |
1998 | ||
39 | Cedric L. Logan, Hamid Krim, Alan S. Willsky: An Estimation-Theoretic Technique for Motion-Compensated Synthetic-Aperture Array Imaging. ICIP (1) 1998: 9-13 | |
38 | Ilya Pollak, Hamid Krim, Alan S. Willsky: Stabilized Inverse Diffusion Equations and Segmentation of Vector-Valued Images. ICIP (3) 1998: 246-248 | |
37 | Terrence T. Ho, Paul W. Fieguth, Alan S. Willsky: Computationally Efficient Multiscale Estimation of Large-Scale Dynamic Systems. ICIP (3) 1998: 274-278 | |
36 | EE | 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) |
35 | EE | 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) |
1997 | ||
34 | EE | 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 |
33 | EE | Andrew J. Kim, Hamid Krim, Alan S. Willsky: Segmentation and Compression of SAR Imagery via Hierarchical Stochastic Modelling. ICIP (3) 1997: 488-491 |
32 | Ilya Pollak, Alan S. Willsky, Hamid Krim: Scale Space Analysis by Stabilized Inverse Diffusion Equations. Scale-Space 1997: 200-211 | |
31 | EE | 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) |
30 | EE | 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) |
29 | EE | 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) |
28 | 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) | |
1996 | ||
27 | Lori Belcastro, William C. Carl, 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) | |
26 | EE | 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) |
1995 | ||
25 | EE | Paul W. Fieguth, William W. Irving, Alan S. Willsky: Multiresolution model development for overlapping trees via canonical correlation analysis. ICIP 1995: 45-48 |
24 | EE | Michael M. Daniel, Alan S. Willsky, Dennis McLaughlin, Dave Rossi: A multi-resolution approach for imaging hydraulic conductivity. ICIP 1995: 637-640 |
23 | EE | 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) |
1994 | ||
22 | Paul W. Fieguth, Alan S. Willsky, William Clement Karl: Multiresolution Stochastic Imaging of Satellite Oceanographic Altimetric Data. ICIP (2) 1994: 1-5 | |
21 | 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 | |
20 | Peyman Milanfar, William Clement Karl, Alan S. Willsky: Moment-Based Geometric Image Reconstruction. ICIP (2) 1994: 825-829 | |
19 | 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 | |
18 | William Clement Karl, George C. Verghese, Alan S. Willsky: Reconstructing Ellipsoids from Projections. CVGIP: Graphical Model and Image Processing 56(2): 124-139 (1994) | |
17 | 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) | |
16 | EE | 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) |
15 | EE | 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) |
1993 | ||
14 | EE | Jerry L. Prince, Alan S. Willsky: Hierarchical reconstruction using geometry and sinogram restoration. IEEE Transactions on Image Processing 2(3): 401-416 (1993) |
1992 | ||
13 | Alan S. Willsky: Opportunities and Challenges in Signal Processing and Analysis. 25th Anniversary of INRIA 1992: 331-338 | |
12 | 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) | |
11 | 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) | |
1991 | ||
10 | EE | Jerry L. Prince, Alan S. Willsky: Convex set reconstruction using prior shape information. CVGIP: Graphical Model and Image Processing 53(5): 413-427 (1991) |
9 | 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) | |
8 | EE | Cüneyt M. Özveren, Alan S. Willsky, Panos J. Antsaklis: Stability and Stabilizability of Discrete Event Dynamic Systems. J. ACM 38(3): 730-752 (1991) |
1990 | ||
7 | EE | Jerry L. Prince, Alan S. Willsky: Reconstructing Convex Sets from Support Line Measurements. IEEE Trans. Pattern Anal. Mach. Intell. 12(4): 377-389 (1990) |
1988 | ||
6 | 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- (1988) | |
5 | EE | 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) |
1986 | ||
4 | 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) | |
1978 | ||
3 | Alan S. Willsky: On the Algebraic Structure of Certain Partially Observable Finite-State Markov Processes Information and Control 38(2): 179-212 (1978) | |
1975 | ||
2 | Alan S. Willsky: Invertibility of Finite Group Homomorphic Sequential Systems Information and Control 27(2): 126-147 (1975) | |
1974 | ||
1 | Roger W. Brockett, Alan S. Willsky: Some structural properties of automata defined on groups. Category Theory Applied to Computation and Control 1974: 112-118 |