Jim Mutch Email:

I am a second-year Ph.D. student in the department of Brain and Cognitive Sciences at MIT, where I work in the Center for Biological and Computational Learning. My interests include computational neuroscience and brain-inspired AI.

I recently completed a masters degree at the University of British Columbia in Vancouver, Canada, where I was part of the Laboratory for Computational Intelligence in the department of Computer Science. Most of my masters research, supervised by David Lowe, was based on a biologically-inspired model of visual object recognition.

Papers

• Jim Mutch and David G. Lowe. Object class recognition and localization using sparse features with limited receptive fields. IJCV Special Issue (to appear). [pdf] [source code]

• Jim Mutch and David G. Lowe. Multiclass Object Recognition with Sparse, Localized Features. CVPR, pages 11-18, New York, June 2006. [pdf] [bib] [source code]

• Nando de Freitas, Richard Dearden, Frank Hutter, Ruben Morales-Menendez, Jim Mutch and David Poole. Diagnosis by a Waiter and a Mars Explorer. Proceedings of the IEEE Special Issue on Sequential State Estimation, March 2004. [pdf]

Code

• FHLib, the code used in our CVPR 2006 and IJCV 2007 papers.

• Some older code which is a modular re-implementation of Riesenhuber & Poggio's original HMAX model with an added trace feature.