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Venues (Conferences, Journals, ...)
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GrowBag graphs for keyword ? (Num. hits/coverage)
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The graphs summarize 19 occurrences of 19 keywords
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Results
Found 14 publication records. Showing 14 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Sargur N. Srihari, Harish Srinivasan, Siyuan Chen, Matthew J. Beal |
Machine Learning for Signature Verification.  |
Machine Learning in Document Analysis and Recognition  |
2008 |
DBLP DOI BibTeX RDF |
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| 1 | 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 |
DBLP BibTeX RDF |
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| 1 | Karthik Sridharan, Matthew J. Beal, Venu Govindaraju |
Competitive Mixtures of Simple Neurons.  |
ICPR  |
2006 |
DBLP DOI BibTeX RDF |
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| 1 | Matthew J. Beal, Praveen Krishnamurthy |
Gene Expression Time Course Clustering with Countably Infinite Hidden Markov Models.  |
UAI  |
2006 |
DBLP BibTeX RDF |
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| 1 | Harish Srinivasan, Sargur N. Srihari, Matthew J. Beal |
Machine Learning for Signature Verification.  |
ICVGIP  |
2006 |
DBLP DOI BibTeX RDF |
forensic signature examination, digital document processing, machine learning, biometrics, signature verification |
| 1 | Matthew J. Beal, Francesco Falciani, Zoubin Ghahramani, Claudia Rangel, David L. Wild |
A Bayesian approach to reconstructing genetic regulatory networks with hidden factors.  |
Bioinformatics  |
2005 |
DBLP DOI BibTeX RDF |
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| 1 | Sargur N. Srihari, Matthew J. Beal, Karthik Bandi, Vivek Shah |
A Statistical Model For Writer Verification.  |
ICDAR  |
2005 |
DBLP DOI BibTeX RDF |
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| 1 | Yee Whye Teh, Michael I. Jordan, Matthew J. Beal, David M. Blei |
Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes.  |
NIPS ![In: Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, NIPS 2004, December 13-18, 2004, Vancouver, British Columbia, Canada], 2004. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP BibTeX RDF |
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| 1 | Matthew J. Beal, Nebojsa Jojic, Hagai Attias |
A Graphical Model for Audiovisual Object Tracking.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
2003 |
DBLP DOI BibTeX RDF |
speaker modeling, automatic calibrations, multimedia, tracking, video, multimodal, Audio, speech, Bayesian inference, vision, graphical models, generative models, cameras, variational methods, microphone arrays, probabilistic inference, expectation-maximization (EM) algorithm, audiovisual |
| 1 | Radford M. Neal, Matthew J. Beal, Sam T. Roweis |
Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models.  |
NIPS ![In: Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, NIPS 2003, December 8-13, 2003, Vancouver and Whistler, British Columbia, Canada], 2003, MIT Press, 0-262-20152-6. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP BibTeX RDF |
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| 1 | Matthew J. Beal, Hagai Attias, Nebojsa Jojic |
Audio-Video Sensor Fusion with Probabilistic Graphical Models.  |
ECCV  |
2002 |
DBLP DOI BibTeX RDF |
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| 1 | Matthew J. Beal, Zoubin Ghahramani, Carl Edward Rasmussen |
The Infinite Hidden Markov Model.  |
NIPS ![In: Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, NIPS 2001, December 3-8, 2001, Vancouver, British Columbia, Canada], pp. 577-584, 2001, MIT Press. The full citation details ...](Pics/full.jpeg) |
2001 |
DBLP BibTeX RDF |
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| 1 | Zoubin Ghahramani, Matthew J. Beal |
Propagation Algorithms for Variational Bayesian Learning.  |
NIPS  |
2000 |
DBLP BibTeX RDF |
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| 1 | Zoubin Ghahramani, Matthew J. Beal |
Variational Inference for Bayesian Mixtures of Factor Analysers.  |
NIPS ![In: Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29 - December 4, 1999], pp. 449-455, 1999, The MIT Press, 0-262-19450-3. The full citation details ...](Pics/full.jpeg) |
1999 |
DBLP BibTeX RDF |
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