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Sam T. Roweis: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Sam T. Roweis, Ruslan Salakhutdinov
    Simultaneous Localization and Surveying with Multiple Agents. [Citation Graph (0, 0)][DBLP]
    European Summer School on Multi-AgentControl, 2003, pp:313-332 [Conf]
  2. Kevin Laven, Scott Leishman, Sam Roweis
    A Statistical Learning Approach To Document Image Analysis. [Citation Graph (0, 0)][DBLP]
    ICDAR, 2005, pp:357-361 [Conf]
  3. Amir Globerson, Sam T. Roweis
    Nightmare at test time: robust learning by feature deletion. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:353-360 [Conf]
  4. Sham Kakade, Yee Whye Teh, Sam T. Roweis
    An Alternate Objective Function for Markovian Fields. [Citation Graph (0, 0)][DBLP]
    ICML, 2002, pp:275-282 [Conf]
  5. Ruslan Salakhutdinov, Sam T. Roweis
    Adaptive Overrelaxed Bound Optimization Methods. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:664-671 [Conf]
  6. Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahramani
    Optimization with EM and Expectation-Conjugate-Gradient. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:672-679 [Conf]
  7. Nathan Srebro, Gregory Shakhnarovich, Sam Roweis
    An investigation of computational and informational limits in Gaussian mixture clustering. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:865-872 [Conf]
  8. Keir Mierle, Kevin Laven, Sam Roweis, Greg Wilson
    Mining student CVS repositories for performance indicators. [Citation Graph (0, 0)][DBLP]
    MSR, 2005, pp:- [Conf]
  9. Kannan Achan, Sam T. Roweis, Brendan J. Frey
    Probabilistic Inference of Speech Signals from Phaseless Spectrograms. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  10. Zoubin Ghahramani, Sam T. Roweis
    Learning Nonlinear Dynamical Systems Using an EM Algorithm. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:431-437 [Conf]
  11. Amir Globerson, Sam T. Roweis
    Metric Learning by Collapsing Classes. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  12. Jacob Goldberger, Sam T. Roweis
    Hierarchical Clustering of a Mixture Model. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  13. Jacob Goldberger, Sam T. Roweis, Geoffrey E. Hinton, Ruslan Salakhutdinov
    Neighbourhood Components Analysis. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  14. Geoffrey E. Hinton, Sam T. Roweis
    Stochastic Neighbor Embedding. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:833-840 [Conf]
  15. John J. Hopfield, Carlos D. Brody, Sam T. Roweis
    Computing with Action Potentials. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  16. Jennifer Listgarten, Radford M. Neal, Sam T. Roweis, Andrew Emili
    Multiple Alignment of Continuous Time Series. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  17. Radford M. Neal, Matthew J. Beal, Sam T. Roweis
    Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  18. Sam T. Roweis
    One Microphone Source Separation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:793-799 [Conf]
  19. Sam T. Roweis
    EM Algorithms for PCA and SPCA. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  20. Sam T. Roweis
    Constrained Hidden Markov Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:782-788 [Conf]
  21. Sam T. Roweis, Lawrence K. Saul, Geoffrey E. Hinton
    Global Coordination of Local Linear Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:889-896 [Conf]
  22. Yee Whye Teh, Sam T. Roweis
    Automatic Alignment of Local Representations. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:841-848 [Conf]
  23. Jakob J. Verbeek, Sam T. Roweis, Nikos A. Vlassis
    Non-linear CCA and PCA by Alignment of Local Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  24. Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahramani
    On the Convergence of Bound Optimization Algorithms. [Citation Graph (0, 0)][DBLP]
    UAI, 2003, pp:509-516 [Conf]
  25. Jennifer Listgarten, Radford M. Neal, Sam T. Roweis, Peter Wong, Andrew Emili
    Difference detection in LC-MS data for protein biomarker discovery. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2007, v:23, n:2, pp:198-204 [Journal]
  26. Leonard M. Adleman, Paul W. K. Rothemund, Sam T. Roweis, Erik Winfree
    On Applying Molecular Computation to the Data Encryption Standard. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Biology, 1999, v:6, n:1, pp:53-64 [Journal]
  27. Sam T. Roweis, Erik Winfree
    On the Reduction of Errors in DNA Computation. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Biology, 1999, v:6, n:1, pp:65-76 [Journal]
  28. 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. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Biology, 1998, v:5, n:4, pp:615-630 [Journal]
  29. Lawrence K. Saul, Sam T. Roweis
    Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifold. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:119-155 [Journal]
  30. Sam T. Roweis, Zoubin Ghahramani
    A Unifying Review of Linear Gaussian Models. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1999, v:11, n:2, pp:305-345 [Journal]
  31. Robert Fergus, Barun Singh, Aaron Hertzmann, Sam T. Roweis, William T. Freeman
    Removing camera shake from a single photograph. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Graph., 2006, v:25, n:3, pp:787-794 [Journal]
  32. 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. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:905-912 [Conf]
  33. Edward Meeds, Zoubin Ghahramani, Radford M. Neal, Sam T. Roweis
    Modeling Dyadic Data with Binary Latent Factors. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:977-984 [Conf]
  34. Graham W. Taylor, Geoffrey E. Hinton, Sam T. Roweis
    Modeling Human Motion Using Binary Latent Variables. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1345-1352 [Conf]

  35. Learning stick-figure models using nonparametric Bayesian priors over trees. [Citation Graph (, )][DBLP]


  36. Convex Learning with Invariances. [Citation Graph (, )][DBLP]


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