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WTA (Winner Take All) hashing has been successfully applied in many large-scale vision applications. This hashing scheme was tailored to take advantage of the comparative reasoning (or order based information), which showed significant accuracy improvements. In this paper, we identify a subtle issue with WTA, which grows with the sparsity of the datasets. This issue limits the discriminative power of WTA. We then propose a solution to this problem based on the idea of Densification which makesdblp:conf/uai/ChenS18 fatcat:cd7zn36bzfgyjjhkwrj56ivcpi