| Sharing clusters among related groups: Hierarchical Dirichlet processes Y Teh, M Jordan, M Beal, D Blei Advances in neural information processing systems 17, 2004 | 5489 | 2004 |
| Variational algorithms for approximate Bayesian inference MJ Beal University of London, 2003 | 2472 | 2003 |
| The infinite hidden Markov model M Beal, Z Ghahramani, C Rasmussen Advances in neural information processing systems 14, 2001 | 895 | 2001 |
| Variational inference for Bayesian mixtures of factor analysers Z Ghahramani, M Beal Advances in neural information processing systems 12, 1999 | 594 | 1999 |
| Propagation algorithms for variational Bayesian learning Z Ghahramani, M Beal Advances in neural information processing systems 13, 2000 | 455 | 2000 |
| A Bayesian approach to reconstructing genetic regulatory networks with hidden factors MJ Beal, F Falciani, Z Ghahramani, C Rangel, DL Wild Bioinformatics 21 (3), 349-356, 2005 | 373 | 2005 |
| At the works, a study of a manufacturing town LFEEO Bell E. Arnold, 1907 | 206 | 1907 |
| A graphical model for audiovisual object tracking MJ Beal, N Jojic, H Attias IEEE Transactions on Pattern Analysis and Machine Intelligence 25 (7), 828-836, 2003 | 172 | 2003 |
| Graphical models and variational methods Z Ghahramani, MJ Beal | 156 | 2001 |
| Variational Bayesian learning of directed graphical models with hidden variables MJ Beal, Z Ghahramani | 134 | 2006 |
| On profiling mobility and predicting locations of wireless users J Ghosh, MJ Beal, HQ Ngo, C Qiao Proceedings of the 2nd international workshop on Multi-hop ad hoc networks …, 2006 | 99 | 2006 |
| Audio-video sensor fusion with probabilistic graphical models MJ Beal, H Attias, N Jojic Computer Vision—ECCV 2002: 7th European Conference on Computer Vision …, 2002 | 79 | 2002 |
| A statistical model for writer verification SN Srihari, MJ Beal, K Bandi, V Shah, P Krishnamurthy Eighth International Conference on Document Analysis and Recognition (ICDAR …, 2005 | 72 | 2005 |
| Segmentation and labeling of documents using conditional random fields S Shetty, H Srinivasan, M Beal, S Srihari Document Recognition and Retrieval XIV 6500, 256-264, 2007 | 69 | 2007 |
| Inferring state sequences for non-linear systems with embedded hidden Markov models R Neal, M Beal, S Roweis Advances in neural information processing systems 16, 2003 | 60 | 2003 |
| Speaker detection and tracking using audiovisual data MJ Beal, N Jojic, H Attias US Patent 6,940,540, 2005 | 52* | 2005 |
| Signature verification using kolmogorov-smirnov statistic H Srinivasan, SN Srihari, M Beal Proc. International Graphonomics Society Conference (IGS), 152-156, 2005 | 45 | 2005 |
| Gene expression time course clustering with countably infinite hidden Markov models M Beal, P Krishnamurthy arXiv preprint arXiv:1206.6824, 2012 | 42 | 2012 |
| Machine learning for signature verification H Srinivasan, SN Srihari, MJ Beal Computer Vision, Graphics and Image Processing: 5th Indian Conference …, 2006 | 42 | 2006 |
| The variational Kalman smoother MJ Beal, Z Ghahramani Gatsby Computational Neuroscience Unit, University College London, Tech. Rep …, 2001 | 42 | 2001 |
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleVerificeret mail på eng.cam.ac.uk
