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ORCIDYair Weiss
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- affiliation: Hebrew University of Jerusalem, Israel
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2020 – today
- 2024
[i22]Roy Friedman, Yair Weiss:
Intriguing Properties of Modern GANs. CoRR abs/2402.14098 (2024)- [i21]Amir Hagai, Yair Weiss:
On adversarial training and the 1 Nearest Neighbor classifier. CoRR abs/2404.06313 (2024) - [i20]Ofir Shifman, Yair Weiss:
Lost in Translation: Modern Neural Networks Still Struggle With Small Realistic Image Transformations. CoRR abs/2404.07153 (2024) - 2023
- [c70]Rhea Chowers
, Yair Weiss:
What do CNNs Learn in the First Layer and Why? A Linear Systems Perspective. ICML 2023: 6115-6139 - 2022
- [c69]Ariel Elnekave, Yair Weiss:
Generating Natural Images with Direct Patch Distributions Matching. ECCV (17) 2022: 544-560 - [i19]Ariel Elnekave, Yair Weiss:
Generating natural images with direct Patch Distributions Matching. CoRR abs/2203.11862 (2022) - [i18]Rhea Chowers, Yair Weiss:
Why do CNNs Learn Consistent Representations in their First Layer Independent of Labels and Architecture? CoRR abs/2206.02454 (2022) - 2021
- [j21]Eitan Richardson, Yair Weiss:
A Bayes-Optimal View on Adversarial Examples. J. Mach. Learn. Res. 22: 221:1-221:28 (2021) - [c68]Dan Amir, Yair Weiss:
Understanding and Simplifying Perceptual Distances. CVPR 2021: 12226-12235 - [c67]Daniella Horan, Eitan Richardson, Yair Weiss:
When Is Unsupervised Disentanglement Possible? NeurIPS 2021: 5150-5161 - [i17]Roy Friedman, Yair Weiss:
Posterior Sampling for Image Restoration using Explicit Patch Priors. CoRR abs/2104.09895 (2021) - 2020
- [j20]Yair Weiss, Vittorio Ferrari, Cristian Sminchisescu, Martial Hebert:
Special Issue: Advances in Architectures and Theories for Computer Vision. Int. J. Comput. Vis. 128(3): 573-574 (2020) - [c66]Eitan Richardson, Yair Weiss:
The Surprising Effectiveness of Linear Unsupervised Image-to-Image Translation. ICPR 2020: 7855-7861 - [i16]Eitan Richardson, Yair Weiss:
A Bayes-Optimal View on Adversarial Examples. CoRR abs/2002.08859 (2020) - [i15]Eitan Richardson, Yair Weiss:
The Surprising Effectiveness of Linear Unsupervised Image-to-Image Translation. CoRR abs/2007.12568 (2020)
2010 – 2019
- 2019
- [j19]Aharon Azulay, Yair Weiss:
Why do deep convolutional networks generalize so poorly to small image transformations? J. Mach. Learn. Res. 20: 184:1-184:25 (2019) - 2018
- [c65]Eitan Richardson, Yair Weiss:
On GANs and GMMs. NeurIPS 2018: 5852-5863 - [e16]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part I. Lecture Notes in Computer Science 11205, Springer 2018, ISBN 978-3-030-01245-8 [contents] - [e15]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part II. Lecture Notes in Computer Science 11206, Springer 2018, ISBN 978-3-030-01215-1 [contents] - [e14]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part III. Lecture Notes in Computer Science 11207, Springer 2018, ISBN 978-3-030-01218-2 [contents] - [e13]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part IV. Lecture Notes in Computer Science 11208, Springer 2018, ISBN 978-3-030-01224-3 [contents] - [e12]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part V. Lecture Notes in Computer Science 11209, Springer 2018, ISBN 978-3-030-01227-4 [contents] - [e11]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part VI. Lecture Notes in Computer Science 11210, Springer 2018, ISBN 978-3-030-01230-4 [contents] - [e10]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part VII. Lecture Notes in Computer Science 11211, Springer 2018, ISBN 978-3-030-01233-5 [contents] - [e9]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part VIII. Lecture Notes in Computer Science 11212, Springer 2018, ISBN 978-3-030-01236-6 [contents] - [e8]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part IX. Lecture Notes in Computer Science 11213, Springer 2018, ISBN 978-3-030-01239-7 [contents] - [e7]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part X. Lecture Notes in Computer Science 11214, Springer 2018, ISBN 978-3-030-01248-9 [contents] - [e6]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XI. Lecture Notes in Computer Science 11215, Springer 2018, ISBN 978-3-030-01251-9 [contents] - [e5]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XII. Lecture Notes in Computer Science 11216, Springer 2018, ISBN 978-3-030-01257-1 [contents] - [e4]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XIII. Lecture Notes in Computer Science 11217, Springer 2018, ISBN 978-3-030-01260-1 [contents] - [e3]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XIV. Lecture Notes in Computer Science 11218, Springer 2018, ISBN 978-3-030-01263-2 [contents] - [e2]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XV. Lecture Notes in Computer Science 11219, Springer 2018, ISBN 978-3-030-01266-3 [contents] - [e1]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XVI. Lecture Notes in Computer Science 11220, Springer 2018, ISBN 978-3-030-01269-4 [contents] - [i14]Aharon Azulay, Yair Weiss:
Why do deep convolutional networks generalize so poorly to small image transformations? CoRR abs/1805.12177 (2018) - [i13]Eitan Richardson, Yair Weiss:
On GANs and GMMs. CoRR abs/1805.12462 (2018) - 2017
- [c64]Ofer Springer, Yair Weiss:
Reflection separation using guided annotation. ICIP 2017: 1192-1196 - [i12]Ofer Springer, Yair Weiss:
Reflection Separation Using Guided Annotation. CoRR abs/1702.05958 (2017) - 2016
- [c63]Roni Feldman, Yair Weiss, Yonina C. Eldar:
Power-Efficient Cameras Using Natural Image Statistics. CVPR Workshops 2016: 945-953 - [c62]Elad Mezuman, Yair Weiss:
A tight convex upper bound on the likelihood of a finite mixture. ICPR 2016: 1683-1688 - [i11]Dan Rosenbaum, Yair Weiss:
Beyond Brightness Constancy: Learning Noise Models for Optical Flow. CoRR abs/1604.02815 (2016) - [i10]Dan Rosenbaum, Yair Weiss:
Statistics of RGBD Images. CoRR abs/1604.02902 (2016) - [i9]Elad Mezuman, Yair Weiss:
A Tight Convex Upper Bound on the Likelihood of a Finite Mixture. CoRR abs/1608.05275 (2016) - 2015
- [c61]Dan Rosenbaum, Yair Weiss:
The Return of the Gating Network: Combining Generative Models and Discriminative Training in Natural Image Priors. NIPS 2015: 2683-2691 - 2013
- [c60]Dan Rosenbaum, Daniel Zoran, Yair Weiss:
Learning the Local Statistics of Optical Flow. NIPS 2013: 2373-2381 - [c59]Elad Mezuman, Daniel Tarlow, Amir Globerson, Yair Weiss:
Tighter Linear Program Relaxations for High Order Graphical Models. UAI 2013 - [i8]Kevin P. Murphy, Yair Weiss:
The Factored Frontier Algorithm for Approximate Inference in DBNs. CoRR abs/1301.2296 (2013) - [i7]Kevin P. Murphy, Yair Weiss, Michael I. Jordan:
Loopy Belief Propagation for Approximate Inference: An Empirical Study. CoRR abs/1301.6725 (2013) - [i6]Elad Mezuman, Daniel Tarlow, Amir Globerson, Yair Weiss:
Tighter Linear Program Relaxations for High Order Graphical Models. CoRR abs/1309.6848 (2013) - 2012
- [c58]Yair Weiss, Rob Fergus, Antonio Torralba:
Multidimensional Spectral Hashing. ECCV (5) 2012: 340-353 - [c57]Elad Mezuman, Yair Weiss:
Learning about Canonical Views from Internet Image Collections. NIPS 2012: 728-736 - [c56]Daniel Zoran, Yair Weiss:
"Natural Images, Gaussian Mixtures and Dead Leaves". NIPS 2012: 1745-1753 - [c55]Elad Mezuman, Yair Weiss:
Globally Optimizing Graph Partitioning Problems Using Message Passing. AISTATS 2012: 770-778 - [i5]Talya Meltzer, Amir Globerson, Yair Weiss:
Convergent message passing algorithms - a unifying view. CoRR abs/1205.2625 (2012) - [i4]Amit Gruber, Michal Rosen-Zvi, Yair Weiss:
Latent Topic Models for Hypertext. CoRR abs/1206.3254 (2012) - [i3]David A. Sontag, Talya Meltzer, Amir Globerson, Tommi S. Jaakkola, Yair Weiss:
Tightening LP Relaxations for MAP using Message Passing. CoRR abs/1206.3288 (2012) - [i2]Yair Weiss, Chen Yanover, Talya Meltzer:
MAP Estimation, Linear Programming and Belief Propagation with Convex Free Energies. CoRR abs/1206.5286 (2012) - 2011
- [j18]Anat Levin, Yair Weiss, Frédo Durand, William T. Freeman:
Understanding Blind Deconvolution Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 33(12): 2354-2367 (2011) - [c54]Anat Levin, Yair Weiss, Frédo Durand, William T. Freeman:
Efficient marginal likelihood optimization in blind deconvolution. CVPR 2011: 2657-2664 - [c53]Daniel Zoran, Yair Weiss:
From learning models of natural image patches to whole image restoration. ICCV 2011: 479-486 - 2010
- [j17]Menachem Fromer, Chen Yanover, Amir Harel, Ori Shachar, Yair Weiss, Michal Linial:
SPRINT: side-chain prediction inference toolbox for multistate protein design. Bioinform. 26(19): 2466-2467 (2010) - [j16]Yair Weiss, Judea Pearl:
Belief propagation: technical perspective. Commun. ACM 53(10): 94 (2010) - [c52]Robert Fergus, Hector Bernal, Yair Weiss, Antonio Torralba:
Semantic Label Sharing for Learning with Many Categories. ECCV (1) 2010: 762-775
2000 – 2009
- 2009
- [j15]Anat Levin, Yair Weiss:
Learning to Combine Bottom-Up and Top-Down Segmentation. Int. J. Comput. Vis. 81(1): 105-118 (2009) - [c51]Anat Levin, Yair Weiss, Frédo Durand, William T. Freeman:
Understanding and evaluating blind deconvolution algorithms. CVPR 2009: 1964-1971 - [c50]Daniel Zoran, Yair Weiss:
Scale invariance and noise in natural images. ICCV 2009: 2209-2216 - [c49]Hyun Sung Chang, Yair Weiss, William T. Freeman:
Informative sensing of natural images. ICIP 2009: 3025-3028 - [c48]Rob Fergus, Yair Weiss, Antonio Torralba:
Semi-Supervised Learning in Gigantic Image Collections. NIPS 2009: 522-530 - [c47]Daniel Zoran, Yair Weiss:
The 'tree-dependent components' of natural scenes are edge filters. NIPS 2009: 2340-2348 - [c46]Talya Meltzer, Amir Globerson, Yair Weiss:
Convergent message passing algorithms - a unifying view. UAI 2009: 393-401 - [i1]Hyun Sung Chang, Yair Weiss, William T. Freeman:
Informative Sensing. CoRR abs/0901.4275 (2009) - 2008
- [j14]Chen Yanover, Ora Schueler-Furman, Yair Weiss:
Minimizing and Learning Energy Functions for Side-Chain Prediction. J. Comput. Biol. 15(7): 899-911 (2008) - [j13]Anat Levin, Dani Lischinski, Yair Weiss:
A Closed-Form Solution to Natural Image Matting. IEEE Trans. Pattern Anal. Mach. Intell. 30(2): 228-242 (2008) - [j12]Ori Shental, Noam Shental, Shlomo Shamai, Ido Kanter, Anthony J. Weiss, Yair Weiss:
Discrete-Input Two-Dimensional Gaussian Channels With Memory: Estimation and Information Rates Via Graphical Models and Statistical Mechanics. IEEE Trans. Inf. Theory 54(4): 1500-1513 (2008) - [c45]Ce Liu, William T. Freeman, Edward H. Adelson, Yair Weiss:
Human-assisted motion annotation. CVPR 2008 - [c44]Antonio Torralba, Robert Fergus, Yair Weiss:
Small codes and large image databases for recognition. CVPR 2008 - [c43]Yair Weiss, Antonio Torralba, Robert Fergus:
Spectral Hashing. NIPS 2008: 1753-1760 - [c42]Amit Gruber, Michal Rosen-Zvi, Yair Weiss:
Latent Topic Models for Hypertext. UAI 2008: 230-239 - [c41]David A. Sontag, Talya Meltzer, Amir Globerson, Tommi S. Jaakkola, Yair Weiss:
Tightening LP Relaxations for MAP using Message Passing. UAI 2008: 503-510 - 2007
- [j11]Amit Gruber, Yair Weiss:
Incorporating non-motion cues into 3D motion segmentation. Comput. Vis. Image Underst. 108(3): 261-271 (2007) - [j10]Anat Levin, Yair Weiss:
User Assisted Separation of Reflections from a Single Image Using a Sparsity Prior. IEEE Trans. Pattern Anal. Mach. Intell. 29(9): 1647-1654 (2007) - [c40]Yair Weiss, William T. Freeman:
What makes a good model of natural images? CVPR 2007 - [c39]Bernard Moghaddam, Yair Weiss, Shai Avidan:
Fast Pixel/Part Selection with Sparse Eigenvectors. ICCV 2007: 1-8 - [c38]Chen Yanover, Ora Schueler-Furman, Yair Weiss:
Minimizing and Learning Energy Functions for Side-Chain Prediction. RECOMB 2007: 381-395 - [c37]Yair Weiss, Chen Yanover, Talya Meltzer:
MAP Estimation, Linear Programming and Belief Propagation with Convex Free Energies. UAI 2007: 416-425 - [c36]Amit Gruber, Yair Weiss, Michal Rosen-Zvi:
Hidden Topic Markov Models. AISTATS 2007: 163-170 - 2006
- [j9]Chen Yanover, Talya Meltzer, Yair Weiss:
Linear Programming Relaxations and Belief Propagation - An Empirical Study. J. Mach. Learn. Res. 7: 1887-1907 (2006) - [j8]Assaf Zomet, Anat Levin, Shmuel Peleg, Yair Weiss:
Seamless image stitching by minimizing false edges. IEEE Trans. Image Process. 15(4): 969-977 (2006) - [c35]Anat Levin, Dani Lischinski, Yair Weiss:
A Closed Form Solution to Natural Image Matting. CVPR (1) 2006: 61-68 - [c34]Amit Gruber, Yair Weiss:
Incorporating Non-motion Cues into 3D Motion Segmentation. ECCV (3) 2006: 84-97 - [c33]Anat Levin, Yair Weiss:
Learning to Combine Bottom-Up and Top-Down Segmentation. ECCV (4) 2006: 581-594 - [c32]Baback Moghaddam, Yair Weiss, Shai Avidan:
Generalized spectral bounds for sparse LDA. ICML 2006: 641-648 - 2005
- [j7]Gal Chechik, Amir Globerson, Naftali Tishby, Yair Weiss:
Information Bottleneck for Gaussian Variables. J. Mach. Learn. Res. 6: 165-188 (2005) - [j6]Jonathan S. Yedidia, William T. Freeman, Yair Weiss:
Constructing free-energy approximations and generalized belief propagation algorithms. IEEE Trans. Inf. Theory 51(7): 2282-2312 (2005) - [c31]Talya Meltzer, Chen Yanover, Yair Weiss:
Globally Optimal Solutions for Energy Minimization in Stereo Vision Using Reweighted Belief Propagation. ICCV 2005: 428-435 - [c30]Uri Maoz, Elon Portugaly, Tamar Flash, Yair Weiss:
Noise and the two-thirds power Law. NIPS 2005: 851-858 - [c29]Baback Moghaddam, Yair Weiss, Shai Avidan:
Spectral Bounds for Sparse PCA: Exact and Greedy Algorithms. NIPS 2005: 915-922 - [c28]Amit Gruber, Yair Weiss:
Incorporating Constraints and Prior Knowledge into Factorization Algorithms - An Application to 3D Recovery. SLSFS 2005: 151-162 - 2004
- [j5]Anat Levin, Dani Lischinski, Yair Weiss:
Colorization using optimization. ACM Trans. Graph. 23(3): 689-694 (2004) - [c27]Kobi Levi, Yair Weiss:
Learning Object Detection from a Small Number of Examples: The Importance of Good Features. CVPR (2) 2004: 53-60 - [c26]Kobi Levi, Michael Fink, Yair Weiss:
Learning From a Small Number of Training Examples by Exploiting Object Categories. CVPR Workshops 2004: 96 - [c25]Anat Levin, Assaf Zomet, Yair Weiss:
Separating Reflections from a Single Image Using Local Features. CVPR (1) 2004: 306-313 - [c24]Amit Gruber, Yair Weiss:
Multibody Factorization with Uncertainty and Missing Data Using the EM Algorithm. CVPR (1) 2004: 707-714 - [c23]Anat Levin, Assaf Zomet, Shmuel Peleg, Yair Weiss:
Seamless Image Stitching in the Gradient Domain. ECCV (4) 2004: 377-389 - [c22]Anat Levin, Yair Weiss:
User Assisted Separation of Reflections from a Single Image Using a Sparsity Prior. ECCV (1) 2004: 602-613 - [c21]Ori Shental, Anthony J. Weiss, Noam Shental, Yair Weiss:
Generalized belief propagation receiver for near-optimal detection of two-dimensional channels with memory. ITW 2004: 225-229 - 2003
- [c20]Anat Levin, Assaf Zomet, Yair Weiss:
Learning How to Inpaint from Global Image Statistics. ICCV 2003: 305-312 - [c19]Noam Shental, Assaf Zomet, Tomer Hertz, Yair Weiss:
Learning and Inferring Image Segmentations using the GBP Typical Cut Algorithm. ICCV 2003: 1243-1250 - [c18]Noam Shental, Assaf Zomet, Tomer Hertz, Yair Weiss:
Pairwise Clustering and Graphical Models. NIPS 2003: 185-192 - [c17]Chen Yanover, Yair Weiss:
Finding the M Most Probable Configurations in Arbitrary Graphical Models. NIPS 2003: 289-296 - [c16]Gal Chechik, Amir Globerson, Naftali Tishby, Yair Weiss:
Information Bottleneck for Gaussian Variables. NIPS 2003: 1213-1220 - [c15]Amit Gruber, Yair Weiss:
Factorization with Uncertainty and Missing Data: Exploiting Temporal Coherence. NIPS 2003: 1507-1514 - 2002
- [c14]Noam Slonim, Yair Weiss:
Maximum Likelihood and the Information Bottleneck. NIPS 2002: 335-342 - [c13]Anat Levin, Assaf Zomet, Yair Weiss:
Learning to Perceive Transparency from the Statistics of Natural Scenes. NIPS 2002: 1247-1254 - [c12]Chen Yanover, Yair Weiss:
Approximate Inference and Protein-Folding. NIPS 2002: 1457-1464 - 2001
- [j4]Yair Weiss, William T. Freeman:
Correctness of Belief Propagation in Gaussian Graphical Models of Arbitrary Topology. Neural Comput. 13(10): 2173-2200 (2001) - [j3]Yair Weiss, William T. Freeman:
On the optimality of solutions of the max-product belief-propagation algorithm in arbitrary graphs. IEEE Trans. Inf. Theory 47(2): 736-744 (2001) - [c11]Yair Weiss:
Deriving Intrinsic Images from Image Sequences. ICCV 2001: 68-75 - [c10]Andrew Y. Ng, Michael I. Jordan, Yair Weiss:
On Spectral Clustering: Analysis and an algorithm. NIPS 2001: 849-856 - [c9]Kevin P. Murphy, Yair Weiss:
The Factored Frontier Algorithm for Approximate Inference in DBNs. UAI 2001: 378-385 - 2000
- [j2]Yair Weiss:
Correctness of Local Probability Propagation in Graphical Models with Loops. Neural Comput. 12(1): 1-41 (2000) - [c8]Jonathan S. Yedidia, William T. Freeman, Yair Weiss:
Generalized Belief Propagation. NIPS 2000: 689-695
1990 – 1999
- 1999
- [c7]Yair Weiss:
Segmentation using Eigenvectors: A Unifying View. ICCV 1999: 975-982 - [c6]Yair Weiss, William T. Freeman:
Correctness of Belief Propagation in Gaussian Graphical Models of Arbitrary Topology. NIPS 1999: 673-679 - [c5]Kevin P. Murphy, Yair Weiss, Michael I. Jordan:
Loopy Belief Propagation for Approximate Inference: An Empirical Study. UAI 1999: 467-475 - 1997
- [c4]Yair Weiss:
Smoothness in Layers: Motion segmentation using nonparametric mixture estimation. CVPR 1997: 520-526 - [c3]Yair Weiss:
Phase Transitions and the Perceptual Organization of Video Sequences. NIPS 1997: 850-856 - 1996
- [c2]Yair Weiss, Edward H. Adelson:
A Unified Mixture Framework for Motion Segmentation: Incorporating Spatial Coherence and Estimating the Number of Models. CVPR 1996: 321-326 - [c1]Yair Weiss:
Interpreting Images by Propagating Bayesian Beliefs. NIPS 1996: 908-914 - 1993
- [j1]Yair Weiss, Shimon Edelman, Manfred Fahle:
Models of Perceptual Learning in Vernier Hyperacuity. Neural Comput. 5(5): 695-718 (1993)
Coauthor Index
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