 | 2009 |
|---|
| 116 |       | Myung Jin Choi,
Venkat Chandrasekaran,
Alan S. Willsky:
Exploiting sparse Markov and covariance structure in multiresolution models.
ICML 2009: 23 |
| 115 | | 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) |
| 114 | | 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 |
|---|
| 113 | | Emily B. Fox,
Erik B. Sudderth,
Michael I. Jordan,
Alan S. Willsky:
An HDP-HMM for systems with state persistence.
ICML 2008: 312-319 |
| 112 | | Walter Sun,
Müjdat Çetin,
Raymond Chan,
Alan S. Willsky:
Segmentation of the evolving left ventricle by learning the dynamics.
ISBI 2008: 229-232 |
| 111 | | Emily B. Fox,
Erik B. Sudderth,
Michael I. Jordan,
Alan S. Willsky:
Nonparametric Bayesian Learning of Switching Linear Dynamical Systems.
NIPS 2008: 457-464 |
| 110 | | Sujay Sanghavi,
Devavrat Shah,
Alan S. Willsky:
Message-passing for Maximum Weight Independent Set
CoRR abs/0807.5091: (2008) |
| 109 | | 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) |
| 108 | | Walter Sun,
Müjdat 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) |
| 107 | | Dmitry M. Malioutov,
Jason K. Johnson,
Myung Jin Choi,
Alan S. Willsky:
Low-Rank Variance Approximation in GMRF Models: Single and Multiscale Approaches.
IEEE Transactions on Signal Processing 56(10-1): 4621-4634 (2008) |
| 106 | | V. Chandrasekaran,
Jason K. Johnson,
Alan S. Willsky:
Estimation in Gaussian Graphical Models Using Tractable Subgraphs: A Walk-Sum Analysis.
IEEE Transactions on Signal Processing 56(5): 1916-1930 (2008) |
| 105 | | K. R. Varshney,
Müjdat Çetin,
John W. Fisher III,
Alan S. Willsky:
Sparse Representation in Structured Dictionaries With Application to Synthetic Aperture Radar.
IEEE Transactions on Signal Processing 56(8-1): 3548-3561 (2008) |
| 104 | | 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 |
|---|
| 103 | | Andy Tsai,
Carl-Fredrik Westin,
Alfred O. Hero,
Alan S. Willsky:
Fiber Tract Clustering on Manifolds With Dual Rooted-Graphs.
CVPR 2007 |
| 102 | | 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 |
| 101 | | Venkat Chandrasekaran,
Jason K. Johnson,
Alan S. Willsky:
Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis.
NIPS 2007 |
| 100 | | Sujay Sanghavi,
Dmitry M. Malioutov,
Alan S. Willsky:
Linear programming analysis of loopy belief propagation for weighted matching.
NIPS 2007 |
| 99 | | Erik B. Sudderth,
Martin J. Wainwright,
Alan S. Willsky:
Loop Series and Bethe Variational Bounds in Attractive Graphical Models.
NIPS 2007 |
| 98 | | Sujay Sanghavi,
Devavrat Shah,
Alan S. Willsky:
Message Passing for Max-weight Independent Set.
NIPS 2007 |
| 97 | | Jason K. Johnson,
Dmitry M. Malioutov,
Alan S. Willsky:
Lagrangian Relaxation for MAP Estimation in Graphical Models
CoRR abs/0710.0013: (2007) |
| 96 | | 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) |
| 95 | | Junmo Kim,
Müjdat Çetin,
Alan S. Willsky:
Nonparametric shape priors for active contour-based image segmentation.
Signal Processing 87(12): 3021-3044 (2007) |
| 2006 |
|---|
| 94 | | 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 |
| 93 | | 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) |
| 92 | | 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 |
|---|
| 91 | | Erik B. Sudderth,
Antonio B. Torralba,
William T. Freeman,
Alan S. Willsky:
Learning Hierarchical Models of Scenes, Objects, and Parts.
ICCV 2005: 1331-1338 |
| 90 | | 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 |
| 89 | | Erik B. Sudderth,
Antonio B. Torralba,
William T. Freeman,
Alan S. Willsky:
Describing Visual Scenes using Transformed Dirichlet Processes.
NIPS 2005 |
| 88 | | O. Patrick Kreidl,
Alan S. Willsky:
Inference with Minimal Communication: a Decision-Theoretic Variational Approach.
NIPS 2005 |
| 87 | | Jason K. Johnson,
Dmitry M. Malioutov,
Alan S. Willsky:
Walk-Sum Interpretation and Analysis of Gaussian Belief Propagation.
NIPS 2005 |
| 86 | | 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) |
| 85 | | 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) |
| 84 | | 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) |
| 83 | | 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) |
| 82 | | 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) |
| 81 | | 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) |
| 80 | | 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) |
| 79 | | 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 |
|---|
| 78 | | 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 |
| 77 | | 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 |
| 76 | | Erik B. Sudderth,
Michael I. Mandel,
William T. Freeman,
Alan S. Willsky:
Distributed Occlusion Reasoning for Tracking with Nonparametric Belief Propagation.
NIPS 2004 |
| 75 | | Alexander T. Ihler,
John W. Fisher III,
Alan S. Willsky:
Message Errors in Belief Propagation.
NIPS 2004 |
| 74 | | 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 |
|---|
| 73 | | Erik B. Sudderth,
Alexander T. Ihler,
William T. Freeman,
Alan S. Willsky:
Nonparametric Belief Propagation.
CVPR (1) 2003: 605-612 |
| 72 |  | 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 |
| 71 | | 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 |
| 70 | | 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 |
| 69 | | Alexander T. Ihler,
John W. Fisher III,
Alan S. Willsky:
Hypothesis Testing over Factorizations for Data Association.
IPSN 2003: 239-253 |
| 68 | | Alexander T. Ihler,
Erik B. Sudderth,
William T. Freeman,
Alan S. Willsky:
Efficient Multiscale Sampling from Products of Gaussian Mixtures.
NIPS 2003 |
| 67 | | 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) |
| 66 | | 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) |
| 65 | | 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 |
|---|
| 64 | | 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 |
| 63 | | Müjdat Çetin,
William Clement Karl,
Alan S. Willsky:
Edge-preserving image reconstruction for coherent imaging applications.
ICIP (2) 2002: 481-484 |
| 62 | | 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 |
| 61 | | Martin J. Wainwright,
Tommi Jaakkola,
Alan S. Willsky:
Exact MAP Estimates by (Hyper)tree Agreement.
NIPS 2002: 809-816 |
| 60 | | Martin J. Wainwright,
Tommi Jaakkola,
Alan S. Willsky:
A New Class of upper Bounds on the Log Partition Function.
UAI 2002: 536-543 |
| 59 | | John W. Fisher III,
Martin J. Wainwright,
Erik B. Sudderth,
Alan S. Willsky:
Statistical and Information-Theoretic Methods for Self-Organization and Fusion of Multimodal, Networked Sensors.
IJHPCA 16(3): 337-353 (2002) |
| 2001 |
|---|
| 58 | | 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 | | Ron O. Dror,
Thomas K. Leung,
Edward H. Adelson,
Alan S. Willsky:
Statistics of Real-World Illumination.
CVPR (2) 2001: 164-171 |
| 56 | | Martin J. Wainwright,
Tommi Jaakkola,
Alan S. Willsky:
Tree-based reparameterization for approximate inference on loopy graphs.
NIPS 2001: 1001-1008 |
| 55 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | Paul W. Fieguth,
William W. Irving,
Alan S. Willsky:
Multiresolution model development for overlapping trees via canonical correlation analysis.
ICIP 1995: 45-48 |
| 24 | | Michael M. Daniel,
Alan S. Willsky,
Dennis McLaughlin,
Dave Rossi:
A multi-resolution approach for imaging hydraulic conductivity.
ICIP 1995: 637-640 |
| 23 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 | | 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 |
