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Matthew J. Beal
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2010 – 2019
- 2012
- [i1]Matthew J. Beal, Praveen Krishnamurthy:
Gene Expression Time Course Clustering with Countably Infinite Hidden Markov Models. CoRR abs/1206.6824 (2012) - 2010
- [p2]John Angus, Matthew J. Beal, Juan Li, Claudia Rangel, David L. Wild:
Inferring Transcriptional Networks Using Prior Biological Knowledge and Constrained State-Space Models. Learning and Inference in Computational Systems Biology 2010: 117-152
2000 – 2009
- 2008
- [p1]Sargur N. Srihari, Harish Srinivasan, Siyuan Chen, Matthew J. Beal:
Machine Learning for Signature Verification. Machine Learning in Document Analysis and Recognition 2008: 387-408 - 2007
- [c14]Shravya Shetty, Harish Srinivasan, Matthew J. Beal, Sargur N. Srihari:
Segmentation and labeling of documents using conditional random fields. DRR 2007: 65000U - 2006
- [c13]Cassandre Creswell, Matthew J. Beal, John Chen, Thomas L. Cornell, Lars Nilsson, Rohini K. Srihari:
Automatically Extracting Nominal Mentions of Events with a Bootstrapped Probabilistic Classifier. ACL 2006 - [c12]Karthik Sridharan, Matthew J. Beal, Venu Govindaraju:
Competitive Mixtures of Simple Neurons. ICPR (2) 2006: 494-497 - [c11]Harish Srinivasan, Sargur N. Srihari, Matthew J. Beal:
Machine Learning for Signature Verification. ICVGIP 2006: 761-775 - [c10]Joy Ghosh, Matthew J. Beal, Hung Q. Ngo, Chunming Qiao:
On profiling mobility and predicting locations of wireless users. REALMAN@MobiHoc 2006: 55-62 - [c9]Matthew J. Beal, Praveen Krishnamurthy:
Gene Expression Time Course Clustering with Countably Infinite Hidden Markov Models. UAI 2006 - 2005
- [j2]Matthew J. Beal, Francesco Falciani, Zoubin Ghahramani, Claudia Rangel
, David L. Wild:
A Bayesian approach to reconstructing genetic regulatory networks with hidden factors. Bioinform. 21(3): 349-356 (2005) - [c8]Sargur N. Srihari, Matthew J. Beal, Karthik Bandi, Vivek Shah:
A Statistical Model For Writer Verification. ICDAR 2005: 1105-1109 - 2004
- [c7]Yee Whye Teh, Michael I. Jordan, Matthew J. Beal, David M. Blei:
Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes. NIPS 2004: 1385-1392 - 2003
- [b1]Matthew J. Beal:
Variational algorithms for approximate Bayesian inference. University College London, UK, 2003 - [j1]Matthew J. Beal, Nebojsa Jojic, Hagai Attias:
A Graphical Model for Audiovisual Object Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 25(7): 828-836 (2003) - [c6]Radford M. Neal, Matthew J. Beal, Sam T. Roweis:
Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models. NIPS 2003: 401-408 - 2002
- [c5]Matthew J. Beal, Hagai Attias, Nebojsa Jojic:
Audio-Video Sensor Fusion with Probabilistic Graphical Models. ECCV (1) 2002: 736-752 - [c4]Matthew J. Beal, Nebojsa Jojic, Hagai Attias:
A self-calibrating algorithm for speaker tracking based on audio-visual statistical models. ICASSP 2002: 1997-2000 - 2001
- [c3]Matthew J. Beal, Zoubin Ghahramani, Carl Edward Rasmussen:
The Infinite Hidden Markov Model. NIPS 2001: 577-584 - 2000
- [c2]Zoubin Ghahramani, Matthew J. Beal:
Propagation Algorithms for Variational Bayesian Learning. NIPS 2000: 507-513
1990 – 1999
- 1999
- [c1]Zoubin Ghahramani, Matthew J. Beal:
Variational Inference for Bayesian Mixtures of Factor Analysers. NIPS 1999: 449-455
Coauthor Index
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