2008 |
14 | EE | 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 |
2006 |
13 | EE | 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 |
12 | EE | Karthik Sridharan,
Matthew J. Beal,
Venu Govindaraju:
Competitive Mixtures of Simple Neurons.
ICPR (2) 2006: 494-497 |
11 | EE | Harish Srinivasan,
Sargur N. Srihari,
Matthew J. Beal:
Machine Learning for Signature Verification.
ICVGIP 2006: 761-775 |
10 | EE | Matthew J. Beal,
Praveen Krishnamurthy:
Gene Expression Time Course Clustering with Countably Infinite Hidden Markov Models.
UAI 2006 |
2005 |
9 | EE | Sargur N. Srihari,
Matthew J. Beal,
Karthik Bandi,
Vivek Shah:
A Statistical Model For Writer Verification.
ICDAR 2005: 1105-1109 |
8 | EE | Matthew J. Beal,
Francesco Falciani,
Zoubin Ghahramani,
Claudia Rangel,
David L. Wild:
A Bayesian approach to reconstructing genetic regulatory networks with hidden factors.
Bioinformatics 21(3): 349-356 (2005) |
2004 |
7 | EE | Yee Whye Teh,
Michael I. Jordan,
Matthew J. Beal,
David M. Blei:
Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes.
NIPS 2004 |
2003 |
6 | EE | Radford M. Neal,
Matthew J. Beal,
Sam T. Roweis:
Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models.
NIPS 2003 |
5 | EE | 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) |
2002 |
4 | EE | Matthew J. Beal,
Hagai Attias,
Nebojsa Jojic:
Audio-Video Sensor Fusion with Probabilistic Graphical Models.
ECCV (1) 2002: 736-752 |
2001 |
3 | EE | Matthew J. Beal,
Zoubin Ghahramani,
Carl Edward Rasmussen:
The Infinite Hidden Markov Model.
NIPS 2001: 577-584 |
2000 |
2 | | Zoubin Ghahramani,
Matthew J. Beal:
Propagation Algorithms for Variational Bayesian Learning.
NIPS 2000: 507-513 |
1999 |
1 | EE | Zoubin Ghahramani,
Matthew J. Beal:
Variational Inference for Bayesian Mixtures of Factor Analysers.
NIPS 1999: 449-455 |