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We propose a method to identify and localize object classes in images. Instead of operating at the pixel level, we advocate the use of superpixels as the basic unit of a class segmentation or pixel localization scheme. To this end, we construct a classifier on the histogram of local features found in each superpixel. We regularize this classifier by aggregating histograms in the neighborhood of each superpixel and then refine our results further by using the classifier in a conditional randomdoi:10.1109/iccv.2009.5459175 dblp:conf/iccv/FulkersonVS09 fatcat:wcgp3w3bvvaofnnj62uq3ytb34