Kevin Murphy

Adjunct Professor
Email: murphyk [at] cs [dot] ubc [dot] ca

Curriculum Vitae

BA, computer science, Cambridge University (1992)
MSc, computer science, University of Pennsylvania (1994)
PhD, computer science, University of California, Berkeley (2002)
Postdoctoral researcher, Massachussetts Institute of Technology Artificial Intelligence Lab, 2002--2004; Assistant professor, UBC, 2004--.

Interests

I am interested in developing methods for inferring patterns from noisy data. Examples include inferrring network structures from gene expression data, inferring shared aberations from sets of array CGH data, inferring object locations from video data, etc. The tools I use are Bayesian statistics, graphical models, and various kinds of algorithms, such as dynamic programming, Monte Carlo methods, etc.

Selected Publications

"Using the Forest to See the Trees:A Graphical Model Relating Features, Objects and Scenes". Kevin Murphy, Antonio Torralba, William Freeman. NIPS 2003.

"Representing hierarchical POMDPs as DBNs for multi-scale robot localization" Georgios Theocharous, Kevin Murphy, Leslie Kaelbling. ICRA 2004.

"The Bayes Net Toolbox for Matlab". Kevin Murphy. Computing Science and Statistics, vol 33, 2001.

"Modeling recurrent DNA copy number alterations in array CGH data"
S Shah, W Lam, R Ng, K Murphy. Bionformatics 2007.

"Sharing visual features for multiclass and multiview object detection"
Antonio Torralba, Kevin Murphy and William Freeman, PAMI 2007.

"Structure Learning in Random Fields for Heart Motion Abnormality Detection",
Mark Schmidt, Kevin Murphy, Glenn Fung, Romer Rosales, CVPR 2008

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