Matthew J. Beal

According to our database1, Matthew J. Beal authored at least 18 papers between 1999 and 2008.

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Bibliography

2008
Machine Learning for Signature Verification.
Proceedings of the Machine Learning in Document Analysis and Recognition, 2008

2007
Segmentation and labeling of documents using conditional random fields.
Proceedings of the Document Recognition and Retrieval XIV, San Jose, California, USA, January 30, 2007

2006
Gene Expression Time Course Clustering with Countably Infinite Hidden Markov Models.
Proceedings of the UAI '06, 2006

On profiling mobility and predicting locations of wireless users.
Proceedings of the 2nd international workshop on Multi-hop ad hoc networks: from theory to reality, 2006

Machine Learning for Signature Verification.
Proceedings of the Computer Vision, Graphics and Image Processing, 5th Indian Conference, 2006

Competitive Mixtures of Simple Neurons.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Automatically Extracting Nominal Mentions of Events with a Bootstrapped Probabilistic Classifier.
Proceedings of the ACL 2006, 2006

2005
A Bayesian approach to reconstructing genetic regulatory networks with hidden factors.
Bioinformatics, 2005

A Statistical Model For Writer Verification.
Proceedings of the Eighth International Conference on Document Analysis and Recognition (ICDAR 2005), 29 August, 2005

2004
Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2003
Variational algorithms for approximate Bayesian inference.
PhD thesis, 2003

A Graphical Model for Audiovisual Object Tracking.
IEEE Trans. Pattern Anal. Mach. Intell., 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

2002
A self-calibrating algorithm for speaker tracking based on audio-visual statistical models.
Proceedings of the IEEE International Conference on Acoustics, 2002

Audio-Video Sensor Fusion with Probabilistic Graphical Models.
Proceedings of the Computer Vision, 2002

2001
The Infinite Hidden Markov Model.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000
Propagation Algorithms for Variational Bayesian Learning.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999
Variational Inference for Bayesian Mixtures of Factor Analysers.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999


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