Grad Student/Postdoc Seminar

April 16:  Koray Kavukcuoglu, CIMS

Learning Hierarchies of Features for Object Detection

  Object recognition generally involves two phases, feature extraction and classification. In this talk I will present unsupervised learning algorithms which are derived from sparse coding methods, have efficient inference characteristics and that can be used as generic feature extraction systems. I will also present an efficient hierarchical object recognition system that combines unsupervised and supervised training. This is a joint work with Marc'Aurelio Ranzato, Kevin Jarret, Rob Fergus and Yann LeCun.

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