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Classification and Boosting with Multiple Collaborative Representations

Chi, Yuejie; Porikli, Fatih


Recent advances have shown a great potential to explore collaborative representations of test samples in a dictionary composed of training samples from all classes in multi-class recognition including sparse representations. In this paper, we present two

CollectionsANU Research Publications
Date published: 2014
Type: Journal article
Source: IEEE Transactions on Pattern Analysis and Machine Intelligence
DOI: 10.1109/TPAMI.2013.236


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