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City Chicago / / Currency pence / / / Facility Toyota Technological Institute / Feature pyramid Fig / Consider building / University of Chicago / / IndustryTerm iterative training algorithm / perceptron algorithm / data-mining methods / coordinate-descent style algorithm / optimization algorithm / iterative algorithm / energy-based model / aggressive search / machine translation systems / dot product / mining / data-mining / data-mining algorithms / data-mining algorithm / computing / detection algorithm / correct solution / Local search methods / gradient descent algorithms / / Organization University of Chicago / Department of Computer Science / Toyota Technological Institute / / Person Ross B. Girshick / Pi / Pedro F. Felzenszwalb / Mc / David McAllester / / Position model for the c-th component / component model at the given location / model / model for the person category / mixture model for the bicycle category / model / structural variations / / ProgrammingLanguage PASCAL / / Technology speech recognition / RAM / resulting algorithm / matching algorithm / machine translation / data-mining algorithms / following iterative algorithm / data-mining algorithm / gradient descent algorithms / perceptron algorithm / coordinate-descent style algorithm / iterative training algorithm / detection algorithm / optimization algorithm / / SocialTag 
1 Object Detection with Discriminatively Trained Part Based Models Pedro F. Felzenszwalb, Ross B. Girshick, David McAllester and Deva Ramanan Abstract—We describe an object detection system based on mixtures of multis