Learning visual dictionaries and decision lists for object recognition

Visual dictionaries are widely employed in object recognition to map unordered bags of local region descriptors into feature vectors for image classification. Most visual dictionaries have been constructed by unsupervised clustering. This paper presents an efficient discriminative approach, called Iterative Discriminative Clustering (IDC), for dictionary learning. In this approach, each dictionary…