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Alan L. Yuille
2010 – today
- 2013
[j62]Nam-Gyu Cho, Alan L. Yuille, Seong-Whan Lee: Adaptive occlusion state estimation for human pose tracking under self-occlusions. Pattern Recognition 46(3): 649-661 (2013)- [i5]Alan L. Yuille, Roozbeh Mottaghi: Complexity of Representation and Inference in Compositional Models with Part Sharing. CoRR abs/1301.3560 (2013)
- [i4]Xiaodi Hou, Alan L. Yuille, Christof Koch: A Meta-Theory of Boundary Detection Benchmarks. CoRR abs/1302.5985 (2013)
- 2012
- [j61]Alan L. Yuille: Computer vision needs a core and foundations. Image Vision Comput. 30(8): 469-471 (2012)
- [j60]Yu Nishiyama, Xingyao Ye, Alan L. Yuille: A Family of CCCP Algorithms Which Minimize the TRW Free Energy. New Generation Comput. 30(1): 3-16 (2012)
- [j59]Long Zhu, Yuanhao Chen, Yuan Lin, Chenxi Lin, Alan L. Yuille: Recursive Segmentation and Recognition Templates for Image Parsing. IEEE Trans. Pattern Anal. Mach. Intell. 34(2): 359-371 (2012)
- [c97]Nam-Gyu Cho, Alan L. Yuille, Seong-Whan Lee: Self-occlusion robust 3D human pose tracking from monocular image sequence. SMC 2012: 254-257
- [i3]Pierre-Yves Burgi, Alan L. Yuille, Norberto M. Grzywacz: Probabilistic Motion Estimation Based on Temporal Coherence. CoRR abs/1201.1216 (2012)
- [i2]Michal Rosen-Zvi, Michael I. Jordan, Alan L. Yuille: The DLR Hierarchy of Approximate Inference. CoRR abs/1207.1417 (2012)
- 2011
- [j58]Long Zhu, Yuanhao Chen, Chenxi Lin, Alan L. Yuille: Max Margin Learning of Hierarchical Configural Deformable Templates (HCDTs) for Efficient Object Parsing and Pose Estimation. International Journal of Computer Vision 93(1): 1-21 (2011)
- [j57]Iasonas Kokkinos, Alan L. Yuille: Inference and Learning with Hierarchical Shape Models. International Journal of Computer Vision 93(2): 201-225 (2011)
- [j56]Ariana Anderson, Jennifer Bramen, Pamela K. Douglas, Agatha Lenartowicz, Andrew Cho, Chris Culbertson, Arthur L. Brody, Alan L. Yuille, Mark S. Cohen: Large sample group independent component analysis of functional magnetic resonance imaging using anatomical atlas-based reduction and bootstrapped clustering. Int. J. Imaging Systems and Technology 21(2): 223-231 (2011)
- [j55]Long Zhu, Yuanhao Chen, Alan L. Yuille: Recursive Compositional Models for Vision: Description and Review of Recent Work. Journal of Mathematical Imaging and Vision 41(1-2): 122-146 (2011)
- [j54]Pamela K. Douglas, Sam Harris, Alan L. Yuille, Mark S. Cohen: Performance comparison of machine learning algorithms and number of independent components used in fMRI decoding of belief vs. disbelief. NeuroImage 56(2): 544-553 (2011)
- [c96]George Papandreou, Alan L. Yuille: Perturb-and-MAP random fields: Using discrete optimization to learn and sample from energy models. ICCV 2011: 193-200
- [c95]Xingyao Ye, Alan L. Yuille: Learning a dictionary of deformable patches using GPUs. ICCV Workshops 2011: 483-490
- [c94]Roozbeh Mottaghi, Ananth Ranganathan, Alan L. Yuille: A compositional approach to learning part-based models of objects. ICCV Workshops 2011: 561-568
- [c93]George Papandreou, Alan L. Yuille: Efficient variational inference in large-scale Bayesian compressed sensing. ICCV Workshops 2011: 1332-1339
- [c92]Ge Guo, Yizhou Wang, Tingting Jiang, Alan L. Yuille, Wen Gao: Computing importance of 2D contour parts by reconstructability. ICCV Workshops 2011: 1364-1371
- [c91]Alan L. Yuille: Towards a theory of compositional learning and encoding of objects. ICCV Workshops 2011: 1448-1455
- [c90]Jung-Jin Lee, Pyoung-Hean Lee, Seong-Whan Lee, Alan L. Yuille, Christof Koch: AdaBoost for Text Detection in Natural Scene. ICDAR 2011: 429-434
- [i1]George Papandreou, Alan L. Yuille: Efficient variational inference in large-scale Bayesian compressed sensing. CoRR abs/1107.4637 (2011)
- 2010
- [j53]Songfeng Zheng, Alan L. Yuille, Zhuowen Tu: Detecting object boundaries using low-, mid-, and high-level information. Computer Vision and Image Understanding 114(10): 1055-1067 (2010)
- [j52]Ariana Anderson, Ivo D. Dinov, Jonathan E. Sherin, Javier Quintana, Alan L. Yuille, Mark S. Cohen: Classification of spatially unaligned fMRI scans. NeuroImage 49(3): 2509-2519 (2010)
- [j51]Long Zhu, Yuanhao Chen, Alan L. Yuille: Learning a Hierarchical Deformable Template for Rapid Deformable Object Parsing. IEEE Trans. Pattern Anal. Mach. Intell. 32(6): 1029-1043 (2010)
- [c89]Long Zhu, Yuanhao Chen, Alan L. Yuille, William T. Freeman: Latent hierarchical structural learning for object detection. CVPR 2010: 1062-1069
- [c88]Long Zhu, Yuanhao Chen, Antonio Torralba, William T. Freeman, Alan L. Yuille: Part and appearance sharing: Recursive Compositional Models for multi-view. CVPR 2010: 1919-1926
- [c87]Yuanhao Chen, Long Zhu, Alan L. Yuille: Active Mask Hierarchies for Object Detection. ECCV (5) 2010: 43-56
- [c86]
- [c85]Hongjing Lu, Tungyou Lin, Alan L. F. Lee, Luminita A. Vese, Alan L. Yuille: Functional form of motion priors in human motion perception. NIPS 2010: 1495-1503
- [c84]
- [c83]Shuang Wu, Xuming He, Hongjing Lu, Alan L. Yuille: A unified model of short-range and long-range motion perception. NIPS 2010: 2478-2486
2000 – 2009
- 2009
- [j50]Long Zhu, Yuanhao Chen, Alan L. Yuille: Unsupervised Learning of Probabilistic Grammar-Markov Models for Object Categories. IEEE Trans. Pattern Anal. Mach. Intell. 31(1): 114-128 (2009)
- [j49]Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang Zhang: Unsupervised Learning of Probabilistic Object Models (POMs) for Object Classification, Segmentation, and Recognition Using Knowledge Propagation. IEEE Trans. Pattern Anal. Mach. Intell. 31(10): 1747-1761 (2009)
- [c82]Miyoun Jung, Ginmo Chung, Ganesh Sundaramoorthi, Luminita A. Vese, Alan L. Yuille: Sobolev gradients and joint variational image segmentation, denoising, and deblurring. Computational Imaging 2009: 72460
- [c81]
- [c80]
- [c79]Hongjing Lu, Matthew Weiden, Alan L. Yuille: Modeling the spacing effect in sequential category learning. NIPS 2009: 1159-1167
- 2008
- [j48]Zhuowen Tu, Songfeng Zheng, Alan L. Yuille: Shape matching and registration by data-driven EM. Computer Vision and Image Understanding 109(3): 290-304 (2008)
- [j47]Jason J. Corso, Eitan Sharon, S. Dube, Suzie El-Saden, Usha Sinha, Alan L. Yuille: Efficient Multilevel Brain Tumor Segmentation With Integrated Bayesian Model Classification. IEEE Trans. Med. Imaging 27(5): 629-640 (2008)
- [c78]Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang Zhang: Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition. CVPR 2008
- [c77]Jason J. Corso, Alan L. Yuille, Zhuowen Tu: Graph-shifts: Natural image labeling by dynamic hierarchical computing. CVPR 2008
- [c76]
- [c75]Long Zhu, Yuanhao Chen, Yifei Lu, Chenxi Lin, Alan L. Yuille: Max Margin AND/OR Graph learning for parsing the human body. CVPR 2008
- [c74]Long Zhu, Yuanhao Chen, Xingyao Ye, Alan L. Yuille: Structure-perceptron learning of a hierarchical log-linear model. CVPR 2008
- [c73]Long Zhu, Chenxi Lin, Haoda Huang, Yuanhao Chen, Alan L. Yuille: Unsupervised Structure Learning: Hierarchical Recursive Composition, Suspicious Coincidence and Competitive Exclusion. ECCV (2) 2008: 759-773
- [c72]Jason J. Corso, Zhuowen Tu, Alan L. Yuille: MRF Labeling with a Graph-Shifts Algorithm. IWCIA 2008: 172-184
- [c71]Shuang Wu, Hongjing Lu, Alan L. Yuille: Model selection and velocity estimation using novel priors for motion patterns. NIPS 2008: 1793-1800
- [c70]Leo Zhu, Yuanhao Chen, Yuan Lin, Chenxi Lin, Alan L. Yuille: Recursive Segmentation and Recognition Templates for 2D Parsing. NIPS 2008: 1985-1992
- 2007
- [j46]Zhuowen Tu, Songfeng Zheng, Alan L. Yuille, Allan L. Reiss, Rebecca A. Dutton, Agatha D. Lee, Albert M. Galaburda, Ivo D. Dinov, Paul M. Thompson, Arthur W. Toga: Automated Extraction of the Cortical Sulci Based on a Supervised Learning Approach. IEEE Trans. Med. Imaging 26(4): 541-552 (2007)
- [c69]Songfeng Zheng, Zhuowen Tu, Alan L. Yuille: Detecting Object Boundaries Using Low-, Mid-, and High-level Information. CVPR 2007
- [c68]Iasonas Kokkinos, Alan L. Yuille: Unsupervised Learning of Object Deformation Models. ICCV 2007: 1-8
- [c67]Jason J. Corso, Zhuowen Tu, Alan L. Yuille, Arthur W. Toga: Segmentation of Sub-cortical Structures by the Graph-Shifts Algorithm. IPMI 2007: 183-197
- [c66]Jason J. Corso, Alan L. Yuille, Nancy L. Sicotte, Arthur W. Toga: Detection and Segmentation of Pathological Structures by the Extended Graph-Shifts Algorithm. MICCAI (1) 2007: 985-993
- [c65]Yuanhao Chen, Long Zhu, Chenxi Lin, Alan L. Yuille, HongJiang Zhang: Rapid Inference on a Novel AND/OR graph for Object Detection, Segmentation and Parsing. NIPS 2007
- [c64]Alan L. Yuille, Hongjing Lu: The Noisy-Logical Distribution and its Application to Causal Inference. NIPS 2007
- [e2]Alan L. Yuille, Song Chun Zhu, Daniel Cremers, Yongtian Wang (Eds.): Energy Minimization Methods in Computer Vision and Pattern Recognition, 6th International Conference, EMMCVPR 2007, Ezhou, China, August 27-29, 2007, Proceedings. Lecture Notes in Computer Science 4679, Springer 2007, ISBN 978-3-540-74195-4
- 2006
- [c63]Zhuowen Tu, Xiangrong Chen, Alan L. Yuille, Song Chun Zhu: Image Parsing: Unifying Segmentation, Detection, and Recognition. Toward Category-Level Object Recognition 2006: 545-576
- [c62]Iasonas Kokkinos, Petros Maragos, Alan L. Yuille: Bottom-Up & Top-down Object Detection using Primal Sketch Features and Graphical Models. CVPR (2) 2006: 1893-1900
- [c61]Songfeng Zheng, Zhuowen Tu, Alan L. Yuille, Allan L. Reiss, Rebecca A. Dutton, Agatha D. Lee, Albert M. Galaburda, Paul M. Thompson, Ivo D. Dinov, Arthur W. Toga: A Learning Based Algorithm for Automatic Extraction of the Cortical Sulci. MICCAI (1) 2006: 695-703
- [c60]Jason J. Corso, Eitan Sharon, Alan L. Yuille: Multilevel Segmentation and Integrated Bayesian Model Classification with an Application to Brain Tumor Segmentation. MICCAI (2) 2006: 790-798
- [c59]Long Zhu, Yuanhao Chen, Alan L. Yuille: Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing. NIPS 2006: 1617-1624
- 2005
- [j45]Zhuowen Tu, Xiangrong Chen, Alan L. Yuille, Song Chun Zhu: Image Parsing: Unifying Segmentation, Detection, and Recognition. International Journal of Computer Vision 63(2): 113-140 (2005)
- [c58]
- [c57]
- [c56]
- [c55]Michal Rosen-Zvi, Michael I. Jordan, Alan L. Yuille: The DLR Hierarchy of Approximate Inference. UAI 2005: 493-500
- [e1]Anand Rangarajan, Baba C. Vemuri, Alan L. Yuille (Eds.): Energy Minimization Methods in Computer Vision and Pattern Recognition, 5th International Workshop, EMMCVPR 2005, St. Augustine, FL, USA, November 9-11, 2005, Proceedings. Lecture Notes in Computer Science 3757, Springer 2005, ISBN 3-540-30287-5
- 2004
- [c54]Xiangrong Chen, Alan L. Yuille: Detecting and Reading Text in Natural Scenes. CVPR (2) 2004: 366-373
- [c53]
- [c52]Zhuowen Tu, Alan L. Yuille: Shape Matching and Recognition - Using Generative Models and Informative Features. ECCV (3) 2004: 195-209
- [c51]Alan L. Yuille: The Rescorla-Wagner Algorithm and Maximum Likelihood Estimation of Causal Parameters. NIPS 2004
- [c50]
- 2003
- [j44]James M. Coughlan, Alan L. Yuille: Algorithms from statistical physics for generative models of images. Image Vision Comput. 21(1): 29-36 (2003)
- [j43]Scott Konishi, Alan L. Yuille, James M. Coughlan: A statistical approach to multi-scale edge detection. Image Vision Comput. 21(1): 37-48 (2003)
- [j42]Alan L. Yuille, Anand Rangarajan: The Concave-Convex Procedure. Neural Computation 15(4): 915-936 (2003)
- [j41]James M. Coughlan, Alan L. Yuille: Manhattan World: Orientation and Outlier Detection by Bayesian Inference. Neural Computation 15(5): 1063-1088 (2003)
- [j40]Scott Konishi, Alan L. Yuille, James M. Coughlan, Song Chun Zhu: Statistical Edge Detection: Learning and Evaluating Edge Cues. IEEE Trans. Pattern Anal. Mach. Intell. 25(1): 57-74 (2003)
- [j39]Alan L. Yuille, James M. Coughlan, Scott Konishi: The Generic Viewpoint Assumption and Planar Bias. IEEE Trans. Pattern Anal. Mach. Intell. 25(6): 775-778 (2003)
- [c49]Daniel Cremers, Alan L. Yuille: A Generative Model Based Approach to Motion Segmentation. DAGM-Symposium 2003: 313-320
- [c48]Zhuowen Tu, Xiangrong Chen, Alan L. Yuille, Song Chun Zhu: Image Parsing: Unifying Segmentation, Detection, and Recognition. ICCV 2003: 18-25
- [c47]Anand Rangarajan, James M. Coughlan, Alan L. Yuille: A Bayesian Network Framework for Relational Shape Matching. ICCV 2003: 671-678
- [c46]Alan L. Yuille, Fang Fang, Paul R. Schrater, Daniel Kersten: Human and Ideal Observers for Detecting Image Curves. NIPS 2003
- 2002
- [j38]Alan L. Yuille: CCCP Algorithms to Minimize the Bethe and Kikuchi Free Energies: Convergent Alternatives to Belief Propagation. Neural Computation 14(7): 1691-1722 (2002)
- [j37]James M. Coughlan, Alan L. Yuille: Bayesian A* Tree Search with Expected O(N) Node Expansions: Applications to Road Tracking. Neural Computation 14(8): 1929-1958 (2002)
- 2001
- [j36]Alan L. Yuille, Song Chun Zhu, David Mumford: Introduction by Guest Editors. International Journal of Computer Vision 41(1/2): 7 (2001)
- [j35]Alan L. Yuille, James M. Coughlan, Ying Nian Wu, Song Chun Zhu: Order Parameters for Detecting Target Curves in Images: When Does High Level Knowledge Help? International Journal of Computer Vision 41(1/2): 9-33 (2001)
- [c45]
- [c44]Alan L. Yuille, James M. Coughlan, Scott Konishi: The KGBR Viewpoint-Lighting Ambiguity and its Resolution by Generic Constraints. ICCV 2001: 376-382
- [c43]Anand Rangarajan, Alan L. Yuille: MIME: Mutual Information Minimization and Entropy Maximization for Bayesian Belief Propagation. NIPS 2001: 873-880
- [c42]
- [c41]James M. Coughlan, Alan L. Yuille: The g Factor: Relating Distributions on Features to Distributions on Images. NIPS 2001: 1231-1238
- 2000
- [j34]James M. Coughlan, Alan L. Yuille, Camper English, Daniel Snow: Efficient Deformable Template Detection and Localization without User Initialization. Computer Vision and Image Understanding 78(3): 303-319 (2000)
- [j33]Song Chun Zhu, Alan L. Yuille, David Mumford: Guest Editorial: Statistical and Computational Theories of Vision: Modeling, Learning, Sampling and Computing, Part I. International Journal of Computer Vision 40(1): 5-6 (2000)
- [j32]Pierre-Yves Burgi, Alan L. Yuille, Norberto M. Grzywacz: Probabilistic Motion Estimation Based on Temporal Coherence. Neural Computation 12(8): 1839-1867 (2000)
- [j31]Alan L. Yuille, James M. Coughlan: Fundamental Limits of Bayesian Inference: Order Parameters and Phase Transitions for Road Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 22(2): 160-173 (2000)
- [j30]Alan L. Yuille, James M. Coughlan: An A* perspective on deterministic optimization for deformable templates. Pattern Recognition 33(4): 603-616 (2000)
- [c40]Scott Konishi, Alan L. Yuille: Statistical cues for Domain Specific Image Segmentation with Performance Analysis. CVPR 2000: 1125-1132
- [c39]Alan L. Yuille, James M. Coughlan, Song Chun Zhu, Ying Nian Wu: Order Parameters for Minimax Entropy Distributions: When Does High Level Knowledge Help? CVPR 2000: 1558-1565
- [c38]James M. Coughlan, Alan L. Yuille: The Manhattan World Assumption: Regularities in Scene Statistics which Enable Bayesian Inference. NIPS 2000: 845-851
1990 – 1999
- 1999
- [j29]Peter N. Belhumeur, David J. Kriegman, Alan L. Yuille: The Bas-Relief Ambiguity. International Journal of Computer Vision 35(1): 33-44 (1999)
- [j28]Alan L. Yuille, Daniel Snow, Russell Epstein, Peter N. Belhumeur: Determining Generative Models of Objects Under Varying Illumination: Shape and Albedo from Multiple Images Using SVD and Integrability. International Journal of Computer Vision 35(3): 203-222 (1999)
- [j27]Anand Rangarajan, Alan L. Yuille, Eric Mjolsness: Convergence Properties of the Softassign Quadratic Assignment Algorithm. Neural Computation 11(6): 1455-1474 (1999)
- [c37]Scott Konishi, Alan L. Yuille, James M. Coughlan, Song Chun Zhu: Fundamental Bounds on Edge Detection: An Information Theoretic Evaluation of Different Edge Cues. CVPR 1999: 1573-1579
- [c36]Alan L. Yuille, James M. Coughlan: High-Level and Generic Models for Visual Search: When Does High Level Knowledge Help? CVPR 1999: 2631-
- [c35]James M. Coughlan, Alan L. Yuille: Bayesian A* Tree Search with Expected O(N) Convergence Rates for Road Tracking. EMMCVPR 1999: 189-204
- [c34]James M. Coughlan, Alan L. Yuille: Manhattan World: Compass Direction from a Single Image by Bayesian Inference. ICCV 1999: 941-947
- [c33]Peter N. Belhumeur, David J. Kriegman, Alan L. Yuille: Shadows, Shading, and Projective Ambiguity. Shape, Contour and Grouping in Computer Vision 1999: 132-154
- 1998
- [j26]Alan L. Yuille, Mario Ferraro, Tony Zhang: Image Warping for Shape Recovery and Recognition. Computer Vision and Image Understanding 72(3): 351-359 (1998)
- [c32]James M. Coughlan, Alan L. Yuille, Camper English, Daniel Snow: Efficient Optimization of a Deformable Template Using Dynamic Programming. CVPR 1998: 747-752
- [c31]Alan L. Yuille, Daniel Snow, Mark Nitzberg: Signfinder: Using Color to Detect, Localize and Identify Informational Signs. ICCV 1998: 628-633
- [c30]Alan L. Yuille, Pierre-Yves Burgi, Norberto M. Grzywacz: Visual Motion Estimation and Prediction: A Probabilistic Network Model for Temporal Coherence. ICCV 1998: 973-978
- [c29]Alan L. Yuille, James M. Coughlan: Convergence Rates of Algorithms for Visual Search: Detecting Visual Contours. NIPS 1998: 641-647
- [c28]James M. Coughlan, Alan L. Yuille: A Phase Space Approach to Minimax Entropy Learning and the Minutemax Approximations. NIPS 1998: 761-767
- 1997
- [c27]Alan L. Yuille, Daniel Snow: Shape and albedo from multiple images using integrability. CVPR 1997: 158-164
- [c26]
- [c25]Peter N. Belhumeur, David J. Kriegman, Alan L. Yuille: The Bas-Relief Ambiguity. CVPR 1997: 1060-1066
- [c24]Alan L. Yuille, James M. Coughlan: Twenty Questions, Focus of Attention, and A*: A Theoretical Comparison of Optimization Strategies. EMMCVPR 1997: 197-212
- [c23]Alan L. Yuille, Mario Ferraro, Tony Zhang: Relating Image Warping to 3D Geometrical Deformations. ICIAP (1) 1997: 361-368
- 1996
- [j25]Song Chun Zhu, Alan L. Yuille: FORMS: A flexible object recognition and modelling system. International Journal of Computer Vision 20(3): 187-212 (1996)
- [j24]Alan L. Yuille, James A. Kolodny, C. W. Lee: Dimension reduction, generalized deformable models and the development of ocularity and orientation. Neural Networks 9(2): 309-319 (1996)
- [j23]Song Chun Zhu, Alan L. Yuille: Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 18(9): 884-900 (1996)
- [c22]Russell Epstein, Alan L. Yuille, Peter N. Belhumeur: Learning Object Representation form Lighting Variations. Object Representation in Computer Vision 1996: 179-199
- [c21]Anand Rangarajan, Alan L. Yuille, Steven Gold, Eric Mjolsness: A Convergence Proof for the Softassign Quadratic Assignment Algorithm. NIPS 1996: 620-626
- 1995
- [j22]Yibing Yang, Alan L. Yuille: Multilevel Enhancement and Detection of Stereo Disparity Surfaces. Artif. Intell. 78(1-2): 121-145 (1995)
- [j21]Davi Geiger, Bruce Ladendorf, Alan L. Yuille: Occlusions and binocular stereo. International Journal of Computer Vision 14(3): 211-226 (1995)
- [j20]Lei Xu, Alan L. Yuille: Robust principal component analysis by self-organizing rules based on statistical physics approach. IEEE Trans. Neural Netw. Learning Syst. 6(1): 131-143 (1995)
- [c20]Song Chun Zhu, Tai Sing Lee, Alan L. Yuille: Region Competition: Unifying Snakes, Region Growing, Energy/Bayes/MDL for Multi-band Image Segmentation. ICCV 1995: 416-
- [c19]Song Chun Zhu, Alan L. Yuille: FORMS: A Flexible Object Recognition and Modelling System. ICCV 1995: 465-472
- [c18]Peter N. Belhumeur, Alan L. Yuille: Recovering Object Surfaces from Viewed Changes in Surface Texture Patterns. ICCV 1995: 876-881
- [c17]Michael J. Weisman, Alan L. Yuille, James J. Clark: Parameterized Surface Fitting via MAP Estimation for Binocular Stereo. ICRA 1995: 2049-2053
- 1994
- [j19]Alan L. Yuille, Paul E. Stolorz, Joachim Utans: Statistical Physics, Mixtures of Distributions, and the EM Algorithm. Neural Computation 6(2): 334-340 (1994)
- [j18]Alan L. Yuille, J. J. Kosowsky: Statistical Physics Algorithms That Converge. Neural Computation 6(3): 341-356 (1994)
- [j17]Masakazu Matsugu, Alan L. Yuille: Spatiotemporal information storage in a content addressable memory using realistic neurons. Neural Networks 7(3): 419-439 (1994)
- [j16]J. J. Kosowsky, Alan L. Yuille: The invisible hand algorithm: Solving the assignment problem with statistical physics. Neural Networks 7(3): 477-490 (1994)
- [j15]Lei Xu, Adam Krzyzak, Alan L. Yuille: On radial basis function nets and kernel regression: Statistical consistency, convergence rates, and receptive field size. Neural Networks 7(4): 609-628 (1994)
- [c16]Russell Epstein, Alan L. Yuille: Training a General Purpose Deformable Template. ICIP (1) 1994: 203-207
- [c15]Song Chun Zhu, Alan L. Yuille: A Framework for Shape Representation and Recognition. ICIP (1) 1994: 671-675
- 1993
- [j14]Ibrahim M. Elfadel, Alan L. Yuille: Mean-field phase transitions and correlation functions for Gibbs random fields. Journal of Mathematical Imaging and Vision 3(2): 167-186 (1993)
- [j13]Berthold K. P. Horn, Richard Szeliski, Alan L. Yuille: Impossible Shaded Images. IEEE Trans. Pattern Anal. Mach. Intell. 15(2): 166-170 (1993)
- [c14]
- 1992
- [j12]Alan L. Yuille, Peter W. Hallinan, David S. Cohen: Feature extraction from faces using deformable templates. International Journal of Computer Vision 8(2): 99-111 (1992)
- [j11]Lei Xu, Stan Klasa, Alan L. Yuille: Recent Advances on Techniques of Static Feedforward Networks with Supervised Learning. Int. J. Neural Syst. 3(3): 253-290 (1992)
- [j10]Alan L. Yuille, Luc Vincent, Davi Geiger: Statistical morphology and Bayesian reconstruction. Journal of Mathematical Imaging and Vision 1(3): 223-238 (1992)
- [c13]Yibing Yang, Alan L. Yuille: Grouping Iso-Velocity Points for Ego-Motion Recovery. AAAI 1992: 356-361
- [c12]Tai Sing Lee, David Mumford, Alan L. Yuille: Texture Segmentation by Minimizing Vector-Valued Energy Functionals: The Coupled-Membrane Model. ECCV 1992: 165-173
- [c11]
- [c10]
- 1991
- [j9]Davi Geiger, Alan L. Yuille: A common framework for image segmentation. International Journal of Computer Vision 6(3): 227-243 (1991)
- 1990
- [j8]Alan L. Yuille, Michael Leyton: 3D symmetry-curvature duality theorems. Computer Vision, Graphics, and Image Processing 52(1): 124-140 (1990)
- [j7]Alan L. Yuille, Davi Geiger: Stereo and controlled movement. International Journal of Computer Vision 4(2): 141-152 (1990)
- [c9]Alan L. Yuille, Davi Geiger, Heinrich H. Bülthoff: Stereo Integration, Mean Field Theory and Psychophysics. ECCV 1990: 73-82
- [c8]Norberto M. Grzywacz, Alan L. Yuille: A Model for the Estimate of Local Velocity. ECCV 1990: 331-335
- [c7]P. Lipson, Alan L. Yuille, D. O'Keeffe, J. Cavanaugh, J. Taaffe, D. Rosenthal: Deformable Templates for Feature Extraction from Medical Images. ECCV 1990: 413-417
1980 – 1989
- 1989
- [j6]Alan L. Yuille: Zero crossings on lines of curvature. Computer Vision, Graphics, and Image Processing 45(1): 68-87 (1989)
- [j5]Alan L. Yuille, Norberto M. Grzywacz: A mathematical analysis of the motion coherence theory. International Journal of Computer Vision 3(2): 155-175 (1989)
- 1988
- [j4]Tomaso Poggio, Harry Voorhees, Alan L. Yuille: A regularized solution to edge detection. J. Complexity 4(2): 106-123 (1988)
- [c6]Michael A. Gennert, Alan L. Yuille: Determining The Optimal Weights In Multiple Objective Function Optimization. ICCV 1988: 87-89
- [c5]
- [c4]
- 1986
- [j3]Alan L. Yuille, Tomaso Poggio: Scaling Theorems for Zero Crossings. IEEE Trans. Pattern Anal. Mach. Intell. 8(1): 15-25 (1986)
- 1985
- [j2]Michael Brady, Jean Ponce, Alan L. Yuille, Haruo Asada: Describing surfaces. Computer Vision, Graphics, and Image Processing 32(1): 1-28 (1985)
- 1984
- [j1]Michael Brady, Alan L. Yuille: An Extremum Principle for Shape from Contour. IEEE Trans. Pattern Anal. Mach. Intell. 6(3): 288-301 (1984)
- [c3]
- [c2]
- 1983
- [c1]
Coauthor Index
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last updated on 2013-04-24 23:03 CEST by the dblp team