Matthew J. Beal

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2008

Machine Learning for Signature Verification.

Sargur N. Srihari, Harish Srinivasan, Siyuan Chen, Matthew J. Beal

Proceedings of the Machine Learning in Document Analysis and Recognition, 2008

2007

Segmentation and labeling of documents using conditional random fields.

Shravya Shetty, Harish Srinivasan, Matthew J. Beal, Sargur N. Srihari

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.

Matthew J. Beal, Praveen Krishnamurthy

Proceedings of the UAI '06, 2006

On profiling mobility and predicting locations of wireless users.

Joy Ghosh, Matthew J. Beal, Hung Q. Ngo, Chunming Qiao

Proceedings of the 2nd international workshop on Multi-hop ad hoc networks: from theory to reality, 2006

Machine Learning for Signature Verification.

Harish Srinivasan, Sargur N. Srihari, Matthew J. Beal

Proceedings of the Computer Vision, Graphics and Image Processing, 5th Indian Conference, 2006

Competitive Mixtures of Simple Neurons.

Karthik Sridharan, Matthew J. Beal, Venu Govindaraju

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Automatically Extracting Nominal Mentions of Events with a Bootstrapped Probabilistic Classifier.

Cassandre Creswell, Matthew J. Beal, John Chen, Thomas L. Cornell, Lars Nilsson, Rohini K. Srihari

Proceedings of the ACL 2006, 2006

2005

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

Matthew J. Beal, Francesco Falciani, Zoubin Ghahramani, Claudia Rangel, David L. Wild

Bioinformatics, 2005

A Statistical Model For Writer Verification.

Sargur N. Srihari, Matthew J. Beal, Karthik Bandi, Vivek Shah

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.

Yee Whye Teh, Michael I. Jordan, Matthew J. Beal, David M. Blei

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

2003

Variational algorithms for approximate Bayesian inference.

Matthew J. Beal

PhD thesis, 2003

A Graphical Model for Audiovisual Object Tracking.

Matthew J. Beal, Nebojsa Jojic, Hagai Attias

IEEE Trans. Pattern Anal. Mach. Intell., 2003

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

Radford M. Neal, Matthew J. Beal, Sam T. Roweis

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.

Matthew J. Beal, Nebojsa Jojic, Hagai Attias

Proceedings of the IEEE International Conference on Acoustics, 2002

Audio-Video Sensor Fusion with Probabilistic Graphical Models.

Matthew J. Beal, Hagai Attias, Nebojsa Jojic

Proceedings of the Computer Vision, 2002

2001

The Infinite Hidden Markov Model.

Matthew J. Beal, Zoubin Ghahramani, Carl Edward Rasmussen

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.

Zoubin Ghahramani, Matthew J. Beal

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

1999

Variational Inference for Bayesian Mixtures of Factor Analysers.

Zoubin Ghahramani, Matthew J. Beal

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