2008 |
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 | EE | 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 | EE | Choon Hui Teo,
Amir Globerson,
Sam T. Roweis,
Alex J. Smola:
Convex Learning with Invariances.
NIPS 2007 |
35 | EE | 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 | EE | Amir Globerson,
Sam T. Roweis:
Nightmare at test time: robust learning by feature deletion.
ICML 2006: 353-360 |
33 | EE | Nathan Srebro,
Gregory Shakhnarovich,
Sam T. Roweis:
An investigation of computational and informational limits in Gaussian mixture clustering.
ICML 2006: 865-872 |
32 | EE | Graham W. Taylor,
Geoffrey E. Hinton,
Sam T. Roweis:
Modeling Human Motion Using Binary Latent Variables.
NIPS 2006: 1345-1352 |
31 | EE | 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 | EE | Edward Meeds,
Zoubin Ghahramani,
Radford M. Neal,
Sam T. Roweis:
Modeling Dyadic Data with Binary Latent Factors.
NIPS 2006: 977-984 |
29 | EE | 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 | EE | Kevin Laven,
Scott Leishman,
Sam T. Roweis:
A Statistical Learning Approach To Document Image Analysis.
ICDAR 2005: 357-361 |
27 | EE | Keir Mierle,
Kevin Laven,
Sam T. Roweis,
Greg Wilson:
Mining student CVS repositories for performance indicators.
MSR 2005 |
26 | EE | Amir Globerson,
Sam T. Roweis:
Metric Learning by Collapsing Classes.
NIPS 2005 |
25 | EE | 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 | EE | Jacob Goldberger,
Sam T. Roweis:
Hierarchical Clustering of a Mixture Model.
NIPS 2004 |
23 | EE | Jennifer Listgarten,
Radford M. Neal,
Sam T. Roweis,
Andrew Emili:
Multiple Alignment of Continuous Time Series.
NIPS 2004 |
22 | EE | Jacob Goldberger,
Sam T. Roweis,
Geoffrey E. Hinton,
Ruslan Salakhutdinov:
Neighbourhood Components Analysis.
NIPS 2004 |
2003 |
21 | EE | 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 | EE | Radford M. Neal,
Matthew J. Beal,
Sam T. Roweis:
Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models.
NIPS 2003 |
17 | EE | Jakob J. Verbeek,
Sam T. Roweis,
Nikos A. Vlassis:
Non-linear CCA and PCA by Alignment of Local Models.
NIPS 2003 |
16 | EE | 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 | EE | 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 | EE | Geoffrey E. Hinton,
Sam T. Roweis:
Stochastic Neighbor Embedding.
NIPS 2002: 833-840 |
11 | EE | Yee Whye Teh,
Sam T. Roweis:
Automatic Alignment of Local Representations.
NIPS 2002: 841-848 |
2001 |
10 | EE | 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 | EE | 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 | EE | 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 |