2008 | ||
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39 | William W. Cohen, Andrew McCallum, Sam T. Roweis: Machine Learning, Proceedings of the Twenty-Fifth International Conference (ICML 2008), Helsinki, Finland, June 5-9, 2008 ACM 2008 | |
38 | John C. Platt, Daphne Koller, Yoram Singer, Sam T. Roweis: Advances in Neural Information Processing Systems 20, Proceedings of the Twenty-First Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 3-6, 2007 MIT Press 2008 | |
37 | Edward Meeds, David A. Ross, Richard S. Zemel, Sam T. Roweis: Learning stick-figure models using nonparametric Bayesian priors over trees. CVPR 2008 | |
2007 | ||
36 | Choon Hui Teo, Amir Globerson, Sam T. Roweis, Alex J. Smola: Convex Learning with Invariances. NIPS 2007 | |
35 | Jennifer Listgarten, Radford M. Neal, Sam T. Roweis, Peter Wong, Andrew Emili: Difference detection in LC-MS data for protein biomarker discovery. Bioinformatics 23(2): 198-204 (2007) | |
2006 | ||
34 | Amir Globerson, Sam T. Roweis: Nightmare at test time: robust learning by feature deletion. ICML 2006: 353-360 | |
33 | Nathan Srebro, Gregory Shakhnarovich, Sam T. Roweis: An investigation of computational and informational limits in Gaussian mixture clustering. ICML 2006: 865-872 | |
32 | Graham W. Taylor, Geoffrey E. Hinton, Sam T. Roweis: Modeling Human Motion Using Binary Latent Variables. NIPS 2006: 1345-1352 | |
31 | Jennifer Listgarten, Radford M. Neal, Sam T. Roweis, Rachel Puckrin, Sean Cutler: Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure. NIPS 2006: 905-912 | |
30 | Edward Meeds, Zoubin Ghahramani, Radford M. Neal, Sam T. Roweis: Modeling Dyadic Data with Binary Latent Factors. NIPS 2006: 977-984 | |
29 | Robert Fergus, Barun Singh, Aaron Hertzmann, Sam T. Roweis, William T. Freeman: Removing camera shake from a single photograph. ACM Trans. Graph. 25(3): 787-794 (2006) | |
2005 | ||
28 | Kevin Laven, Scott Leishman, Sam T. Roweis: A Statistical Learning Approach To Document Image Analysis. ICDAR 2005: 357-361 | |
27 | Keir Mierle, Kevin Laven, Sam T. Roweis, Greg Wilson: Mining student CVS repositories for performance indicators. MSR 2005 | |
26 | Amir Globerson, Sam T. Roweis: Metric Learning by Collapsing Classes. NIPS 2005 | |
25 | Keir Mierle, Kevin Laven, Sam T. Roweis, Greg Wilson: Mining student CVS repositories for performance indicators. ACM SIGSOFT Software Engineering Notes 30(4): 1-5 (2005) | |
2004 | ||
24 | Jacob Goldberger, Sam T. Roweis: Hierarchical Clustering of a Mixture Model. NIPS 2004 | |
23 | Jennifer Listgarten, Radford M. Neal, Sam T. Roweis, Andrew Emili: Multiple Alignment of Continuous Time Series. NIPS 2004 | |
22 | Jacob Goldberger, Sam T. Roweis, Geoffrey E. Hinton, Ruslan Salakhutdinov: Neighbourhood Components Analysis. NIPS 2004 | |
2003 | ||
21 | Sam T. Roweis, Ruslan Salakhutdinov: Simultaneous Localization and Surveying with Multiple Agents. European Summer School on Multi-AgentControl 2003: 313-332 | |
20 | Ruslan Salakhutdinov, Sam T. Roweis: Adaptive Overrelaxed Bound Optimization Methods. ICML 2003: 664-671 | |
19 | Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahramani: Optimization with EM and Expectation-Conjugate-Gradient. ICML 2003: 672-679 | |
18 | Radford M. Neal, Matthew J. Beal, Sam T. Roweis: Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models. NIPS 2003 | |
17 | Jakob J. Verbeek, Sam T. Roweis, Nikos A. Vlassis: Non-linear CCA and PCA by Alignment of Local Models. NIPS 2003 | |
16 | Kannan Achan, Sam T. Roweis, Brendan J. Frey: Probabilistic Inference of Speech Signals from Phaseless Spectrograms. NIPS 2003 | |
15 | Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahramani: On the Convergence of Bound Optimization Algorithms. UAI 2003: 509-516 | |
14 | Lawrence K. Saul, Sam T. Roweis: Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifold. Journal of Machine Learning Research 4: 119-155 (2003) | |
2002 | ||
13 | Sham Kakade, Yee Whye Teh, Sam T. Roweis: An Alternate Objective Function for Markovian Fields. ICML 2002: 275-282 | |
12 | Geoffrey E. Hinton, Sam T. Roweis: Stochastic Neighbor Embedding. NIPS 2002: 833-840 | |
11 | Yee Whye Teh, Sam T. Roweis: Automatic Alignment of Local Representations. NIPS 2002: 841-848 | |
2001 | ||
10 | Sam T. Roweis, Lawrence K. Saul, Geoffrey E. Hinton: Global Coordination of Local Linear Models. NIPS 2001: 889-896 | |
2000 | ||
9 | Sam T. Roweis: One Microphone Source Separation. NIPS 2000: 793-799 | |
1999 | ||
8 | Sam T. Roweis: Constrained Hidden Markov Models. NIPS 1999: 782-788 | |
7 | Leonard M. Adleman, Paul W. K. Rothemund, Sam T. Roweis, Erik Winfree: On Applying Molecular Computation to the Data Encryption Standard. Journal of Computational Biology 6(1): 53-64 (1999) | |
6 | Sam T. Roweis, Erik Winfree: On the Reduction of Errors in DNA Computation. Journal of Computational Biology 6(1): 65-76 (1999) | |
5 | Sam T. Roweis, Zoubin Ghahramani: A Unifying Review of Linear Gaussian Models. Neural Computation 11(2): 305-345 (1999) | |
1998 | ||
4 | Zoubin Ghahramani, Sam T. Roweis: Learning Nonlinear Dynamical Systems Using an EM Algorithm. NIPS 1998: 431-437 | |
3 | Sam T. Roweis, Erik Winfree, Richard Burgoyne, Nickolas V. Chelyapov, Myron F. Goodman, Paul W. K. Rothemund, Leonard M. Adleman: A Sticker-Based Model for DNA Computation. Journal of Computational Biology 5(4): 615-630 (1998) | |
1997 | ||
2 | John J. Hopfield, Carlos D. Brody, Sam T. Roweis: Computing with Action Potentials. NIPS 1997 | |
1 | Sam T. Roweis: EM Algorithms for PCA and SPCA. NIPS 1997 |