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Richard S. Zemel Vis

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*2009
46EEMaksims Volkovs, Richard S. Zemel: BoltzRank: learning to maximize expected ranking gain. ICML 2009: 137
45EEBenjamin M. Marlin, Richard S. Zemel: Collaborative prediction and ranking with non-random missing data. RecSys 2009: 5-12
44EEJasper Snoek, Jesse Hoey, Liam Stewart, Richard S. Zemel, Alex Mihailidis: Automated detection of unusual events on stairs. Image Vision Comput. 27(1-2): 153-166 (2009)
2008
43EEXuming He, Richard S. Zemel: Latent topic random fields: Learning using a taxonomy of labels. CVPR 2008
42EEEdward Meeds, David A. Ross, Richard S. Zemel, Sam T. Roweis: Learning stick-figure models using nonparametric Bayesian priors over trees. CVPR 2008
41EEDavid A. Ross, Daniel Tarlow, Richard S. Zemel: Unsupervised Learning of Skeletons from Motion. ECCV (3) 2008: 560-573
40EERama Natarajan, Iain Murray, Ladan Shams, Richard S. Zemel: Characterizing response behavior in multisensory perception with conflicting cues. NIPS 2008: 1153-1160
39EETanya Schmah, Geoffrey E. Hinton, Richard S. Zemel, Steven L. Small, Stephen C. Strother: Generative versus discriminative training of RBMs for classification of fMRI images. NIPS 2008: 1409-1416
38EEXuming He, Richard S. Zemel: Learning Hybrid Models for Image Annotation with Partially Labeled Data. NIPS 2008: 625-632
37EEDaniel Tarlow, Richard S. Zemel, Brendan J. Frey: Flexible Priors for Exemplar-based Clustering. UAI 2008: 537-545
36EELiam Stewart, Xuming He, Richard S. Zemel: Learning Flexible Features for Conditional Random Fields. IEEE Trans. Pattern Anal. Mach. Intell. 30(8): 1415-1426 (2008)
35EEF. Klam, Richard S. Zemel, Alexandre Pouget: Population Coding with Motion Energy Filters: The Impact of Correlations. Neural Computation 20(1): 146-175 (2008)
34EERama Natarajan, Quentin J. M. Huys, Peter Dayan, Richard S. Zemel: Encoding and Decoding Spikes for Dynamic Stimuli. Neural Computation 20(9): 2325-2360 (2008)
2007
33EEQuentin J. M. Huys, Richard S. Zemel, Rama Natarajan, Peter Dayan: Fast Population Coding. Neural Computation 19(2): 404-441 (2007)
2006
32EEJasper Snoek, Jesse Hoey, Liam Stewart, Richard S. Zemel: Automated Detection of Unusual Events on Stairs. CRV 2006: 5
31EEXuming He, Richard S. Zemel, Debajyoti Ray: Learning and Incorporating Top-Down Cues in Image Segmentation. ECCV (1) 2006: 338-351
30EEDavid A. Ross, Simon Osindero, Richard S. Zemel: Combining discriminative features to infer complex trajectories. ICML 2006: 761-768
29EEXuming He, Richard S. Zemel, Volodymyr Mnih: Topological map learning from outdoor image sequences. J. Field Robotics 23(11-12): 1091-1104 (2006)
28EEDavid A. Ross, Richard S. Zemel: Learning Parts-Based Representations of Data. Journal of Machine Learning Research 7: 2369-2397 (2006)
2004
27EEXuming He, Richard S. Zemel, Miguel Á. Carreira-Perpiñán: Multiscale Conditional Random Fields for Image Labeling. CVPR (2) 2004: 695-702
26EEBenjamin M. Marlin, Richard S. Zemel: The multiple multiplicative factor model for collaborative filtering. ICML 2004
25EERichard S. Zemel, Quentin J. M. Huys, Rama Natarajan, Peter Dayan: Probabilistic Computation in Spiking Populations. NIPS 2004
24EEMiguel Á. Carreira-Perpiñán, Richard S. Zemel: Proximity Graphs for Clustering and Manifold Learning. NIPS 2004
2003
23 Max Welling, Richard S. Zemel, Geoffrey E. Hinton: Efficient Parametric Projection Pursuit Density Estimation. UAI 2003: 575-582
22 Craig Boutilier, Richard S. Zemel, Benjamin M. Marlin: Active Collaborative Filtering. UAI 2003: 98-106
2002
21EEDavid A. Ross, Richard S. Zemel: Multiple Cause Vector Quantization. NIPS 2002: 1017-1024
20EEMax Welling, Richard S. Zemel, Geoffrey E. Hinton: Self Supervised Boosting. NIPS 2002: 665-672
2001
19 Richard S. Zemel, Michael Mozer: Localist Attractor Networks. Neural Computation 13(5): 1045-1064 (2001)
2000
18 Richard S. Zemel, Toniann Pitassi: A Gradient-Based Boosting Algorithm for Regression Problems. NIPS 2000: 696-702
17EERichard S. Zemel, Jonathan Pillow: Encoding multiple orientations in a recurrent network. Neurocomputing 32-33: 609-616 (2000)
1999
16EERichard S. Zemel, Michael Mozer: A Generative Model for Attractor Dynamics. NIPS 1999: 80-88
15EEZhiyong Yang, Richard S. Zemel: Managing Uncertainty in Cue Combination. NIPS 1999: 869-878
1998
14EERichard S. Zemel, Peter Dayan: Distributional Population Codes and Multiple Motion Models. NIPS 1998: 174-182
13 Richard S. Zemel, Peter Dayan, Alexandre Pouget: Probabilistic Interpretation of Population Codes. Neural Computation 10(2): 403-430 (1998)
1997
12 Richard S. Zemel, Peter Dayan: Combining Probabilistic Population Codes. IJCAI 1997: 1114-1119
1996
11EERichard S. Zemel, Peter Dayan, Alexandre Pouget: Probabilistic Interpretation of Population Codes. NIPS 1996: 676-684
10EEMichael S. Gray, Alexandre Pouget, Richard S. Zemel, Steven J. Nowlan, Terrence J. Sejnowski: Selective Integration: A Model for Disparity Estimation. NIPS 1996: 866-872
1995
9EEPeter Dayan, Geoffrey E. Hinton, Radford M. Neal, Richard S. Zemel: The Helmholtz machine. Neural Computation 7(5): 889-904 (1995)
8EERichard S. Zemel, Christopher K. I. Williams, Michael Mozer: Lending direction to neural networks. Neural Networks 8(4): 503-512 (1995)
1994
7EERichard S. Zemel, Terrence J. Sejnowski: Grouping Components of Three-Dimensional Moving Objects in Area MST of Visual Cortex. NIPS 1994: 165-172
1993
6EERichard S. Zemel, Geoffrey E. Hinton: Developing Population Codes by Minimizing Description Length. NIPS 1993: 11-18
5EEGeoffrey E. Hinton, Richard S. Zemel: Autoencoders, Minimum Description Length and Helmholtz Free Energy. NIPS 1993: 3-10
1992
4EERichard S. Zemel, Christopher K. I. Williams, Michael Mozer: Directional-Unit Boltzmann Machines. NIPS 1992: 172-179
1991
3EEMichael Mozer, Richard S. Zemel, Marlene Behrmann: Learning to Segment Images Using Dynamic Feature Binding. NIPS 1991: 436-443
1990
2EERichard S. Zemel, Geoffrey E. Hinton: Discovering Viewpoint-Invariant Relationships That Characterize Objects. NIPS 1990: 299-305
1989
1EERichard S. Zemel, Michael Mozer, Geoffrey E. Hinton: TRAFFIC: Recognizing Objects Using Hierarchical Reference Frame Transformations. NIPS 1989: 266-273

Coauthor Index

1Marlene Behrmann [3]
2Craig Boutilier [22]
3Miguel Á. Carreira-Perpiñán [24] [27]
4Peter Dayan [9] [11] [12] [13] [14] [25] [33] [34]
5Brendan J. Frey [37]
6Michael S. Gray [10]
7Xuming He [27] [29] [31] [36] [38] [43]
8Geoffrey E. Hinton [1] [2] [5] [6] [9] [20] [23] [39]
9Jesse Hoey [32] [44]
10Quentin J. M. Huys [25] [33] [34]
11F. Klam [35]
12Benjamin M. Marlin [22] [26] [45]
13Edward Meeds [42]
14Alex Mihailidis [44]
15Volodymyr Mnih [29]
16Michael C. Mozer (Michael Mozer) [1] [3] [4] [8] [16] [19]
17Iain Murray [40]
18Rama Natarajan [25] [33] [34] [40]
19Radford M. Neal [9]
20Steven J. Nowlan [10]
21Simon Osindero [30]
22Jonathan Pillow [17]
23Toniann Pitassi [18]
24Alexandre Pouget [10] [11] [13] [35]
25Debajyoti Ray [31]
26David A. Ross [21] [28] [30] [41] [42]
27Sam T. Roweis [42]
28Tanya Schmah [39]
29Terrence J. Sejnowski [7] [10]
30Ladan Shams [40]
31Steven L. Small [39]
32Jasper Snoek [32] [44]
33Liam Stewart [32] [36] [44]
34Stephen C. Strother [39]
35Daniel Tarlow [37] [41]
36Maksims Volkovs [46]
37Max Welling [20] [23]
38Christopher K. I. Williams [4] [8]
39Zhiyong Yang [15]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)