NIPS Proceedingsβ

Sam T. Roweis

18 Papers

  • Convex Learning with Invariances (2007)
  • Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure (2006)
  • Modeling Dyadic Data with Binary Latent Factors (2006)
  • Modeling Human Motion Using Binary Latent Variables (2006)
  • Metric Learning by Collapsing Classes (2005)
  • Hierarchical Clustering of a Mixture Model (2004)
  • Multiple Alignment of Continuous Time Series (2004)
  • Neighbourhood Components Analysis (2004)
  • Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models (2003)
  • Non-linear CCA and PCA by Alignment of Local Models (2003)
  • Probabilistic Inference of Speech Signals from Phaseless Spectrograms (2003)
  • Automatic Alignment of Local Representations (2002)
  • Stochastic Neighbor Embedding (2002)
  • Global Coordination of Local Linear Models (2001)
  • One Microphone Source Separation (2000)
  • Constrained Hidden Markov Models (1999)
  • Learning Nonlinear Dynamical Systems Using an EM Algorithm (1998)
  • EM Algorithms for PCA and SPCA (1997)
  • 1 Book

  • Advances in Neural Information Processing Systems 20 (2007)