Matthew J. Beal

20 papers A* 1A 2Misc 1Journal 3Unranked 10
YearRankTypeTitle / Venue / Authors
2012 J jnl
Gene Expression Time Course Clustering with Countably Infinite Hidden Markov Models.
CoRR
Matthew J. Beal, Praveen Krishnamurthy
2010 — ch.
Inferring Transcriptional Networks Using Prior Biological Knowledge and Constrained State-Space Models.
Learning and Inference in Computational Systems Biology
John Angus, Matthew J. Beal, Juan Li, Claudia Rangel, David L. Wild
2008 — ch.
Machine Learning for Signature Verification.
Machine Learning in Document Analysis and Recognition
Sargur N. Srihari, Harish Srinivasan, Siyuan Chen, Matthew J. Beal
2007 — conf
Segmentation and labeling of documents using conditional random fields.
DRR
Shravya Shetty, Harish Srinivasan, Matthew J. Beal, Sargur N. Srihari
2006 A* conf
Automatically Extracting Nominal Mentions of Events with a Bootstrapped Probabilistic Classifier.
ACL
Cassandre Creswell, Matthew J. Beal, John Chen, Thomas L. Cornell, Lars Nilsson, Rohini K. Srihari
2006 — conf
Competitive Mixtures of Simple Neurons.
ICPR (2)
Karthik Sridharan, Matthew J. Beal, Venu Govindaraju
2006 A conf
Gene Expression Time Course Clustering with Countably Infinite Hidden Markov Models.
UAI
Matthew J. Beal, Praveen Krishnamurthy
2006 — conf
Machine Learning for Signature Verification.
ICVGIP
Harish Srinivasan, Sargur N. Srihari, Matthew J. Beal
2006 — conf
On profiling mobility and predicting locations of wireless users.
REALMAN@MobiHoc
Joy Ghosh, Matthew J. Beal, Hung Q. Ngo, Chunming Qiao
2005 J jnl
A Bayesian approach to reconstructing genetic regulatory networks with hidden factors.
Bioinform.
Matthew J. Beal, Francesco Falciani, Zoubin Ghahramani, Claudia Rangel, David L. Wild
2005 A conf
A Statistical Model For Writer Verification.
ICDAR
Sargur N. Srihari, Matthew J. Beal, Karthik Bandi, Vivek Shah
2004 — conf
Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes.
NIPS
Yee Whye Teh, Michael I. Jordan, Matthew J. Beal, David M. Blei
2003 J jnl
A Graphical Model for Audiovisual Object Tracking.
IEEE Trans. Pattern Anal. Mach. Intell.
Matthew J. Beal, Nebojsa Jojic, Hagai Attias
2003 — conf
Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models.
NIPS
Radford M. Neal, Matthew J. Beal, Sam T. Roweis
2003 — —
Variational algorithms for approximate Bayesian inference.
Matthew J. Beal
2002 Misc conf
A self-calibrating algorithm for speaker tracking based on audio-visual statistical models.
ICASSP
Matthew J. Beal, Nebojsa Jojic, Hagai Attias
2002 — conf
Audio-Video Sensor Fusion with Probabilistic Graphical Models.
ECCV (1)
Matthew J. Beal, Hagai Attias, Nebojsa Jojic
2001 — conf
The Infinite Hidden Markov Model.
NIPS
Matthew J. Beal, Zoubin Ghahramani, Carl Edward Rasmussen
2000 — conf
Propagation Algorithms for Variational Bayesian Learning.
NIPS
Zoubin Ghahramani, Matthew J. Beal
1999 — conf
Variational Inference for Bayesian Mixtures of Factor Analysers.
NIPS
Zoubin Ghahramani, Matthew J. Beal