September 14, 2009
Efficient Training of Classifiers for Detection SeminarComputer vision researchers are presented with a potentially embarrassing problem these days - too much data. In particular very large data sets can be a challenge for learning algorithms used in computer vision. We have shown that a class of techniques used in computer vision that had previously been considered prohibitively expensive can in fact be used very efficiently. This result comes in two parts, first determining the form of the classifiers in question and demonstrating efficient evaluation, and second showing how to train such classifiers efficiently. This seminar, hosted by Professor Philippos Mordohai, will feature speaker Alex Berg, of Columbia University. The full seminar information can be seen in the document below. For more information, please contact:
Philippos Mordohai
Assistant Professor
pmordohai@stevens.edu Seminar Information | 
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