# Sam T. Roweis

According to our database

Collaborative distances:

^{1}, Sam T. Roweis authored at least 49 papers between 1996 and 2012.Collaborative distances:

## Timeline

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## Bibliography

2012

On the Convergence of Bound Optimization Algorithms

CoRR, 2012

Collaborative Filtering and the Missing at Random Assumption

CoRR, 2012

2011

Two Distributed-State Models For Generating High-Dimensional Time Series.

Journal of Machine Learning Research, 2011

Recommender Systems, Missing Data and Statistical Model Estimation.

Proceedings of the IJCAI 2011, 2011

2008

Learning stick-figure models using nonparametric Bayesian priors over trees.

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

Visualizing pairwise similarity via semidefinite programming.

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Difference detection in LC-MS data for protein biomarker discovery.

Bioinformatics, 2007

Collaborative Filtering and the Missing at Random Assumption.

Proceedings of the UAI 2007, 2007

Convex Learning with Invariances.

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006

Removing camera shake from a single photograph.

ACM Trans. Graph., 2006

Modeling Human Motion Using Binary Latent Variables.

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Modeling Dyadic Data with Binary Latent Factors.

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure.

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

An investigation of computational and informational limits in Gaussian mixture clustering.

Proceedings of the Machine Learning, 2006

Nightmare at test time: robust learning by feature deletion.

Proceedings of the Machine Learning, 2006

2005

Mining student CVS repositories for performance indicators.

ACM SIGSOFT Software Engineering Notes, 2005

Metric Learning by Collapsing Classes.

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Mining student CVS repositories for performance indicators.

Proceedings of the 2005 International Workshop on Mining Software Repositories, 2005

A Statistical Learning Approach To Document Image Analysis.

Proceedings of the Eighth International Conference on Document Analysis and Recognition (ICDAR 2005), 29 August, 2005

A segment based probabilistic generative model of speech.

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Unsupervised Learning with Non-Ignorable Missing Data.

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004

Multiple Alignment of Continuous Time Series.

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Neighbourhood Components Analysis.

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Hierarchical Clustering of a Mixture Model.

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2003

Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifold.

Journal of Machine Learning Research, 2003

On the Convergence of Bound Optimization Algorithms.

Proceedings of the UAI '03, 2003

Non-linear CCA and PCA by Alignment of Local Models.

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models.

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Probabilistic Inference of Speech Signals from Phaseless Spectrograms.

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Factorial models and refiltering for speech separation and denoising.

Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

Optimization with EM and Expectation-Conjugate-Gradient.

Proceedings of the Machine Learning, 2003

Adaptive Overrelaxed Bound Optimization Methods.

Proceedings of the Machine Learning, 2003

Simultaneous Localization and Surveying with Multiple Agents.

Proceedings of the Switching and Learning in Feedback Systems, 2003

2002

Automatic Alignment of Local Representations.

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Stochastic Neighbor Embedding.

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

An Alternate Objective Function for Markovian Fields.

Proceedings of the Machine Learning, 2002

2001

Global Coordination of Local Linear Models.

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000

One Microphone Source Separation.

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999

A Unifying Review of Linear Gaussian Models.

Neural Computation, 1999

On the Reduction of Errors in DNA Computation.

Journal of Computational Biology, 1999

On Applying Molecular Computation to the Data Encryption Standard.

Journal of Computational Biology, 1999

Constrained Hidden Markov Models.

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1998

A Sticker-Based Model for DNA Computation.

Journal of Computational Biology, 1998

Learning Nonlinear Dynamical Systems Using an EM Algorithm.

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

1997

EM Algorithms for PCA and SPCA.

Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Computing with Action Potentials.

Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Towards articulatory speech recognition: learning smooth maps to recover articulator information.

Proceedings of the Fifth European Conference on Speech Communication and Technology, 1997

1996

A sticker based model for DNA computation.

Proceedings of the DNA Based Computers, 1996

On applying molecular computation to the data encryption standard.

Proceedings of the DNA Based Computers, 1996