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Statistical problems in computer vision

Presented by: 
S Nowozin [Microsoft]
Date: 
Monday 26th September 2011 - 16:25 to 16:35
Venue: 
INI Seminar Room 1
Abstract: 
Computer vision is one of the many fields that successfully adopted machine learning for building predictive models. Yet, despite their success some of the fields' most popularly used models such as conditional random fields remain poorly understood theoretically and require approximations to be practical. I discuss a few of open theoretical and practical questions in these models in the computer vision context.
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University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons