The multi-index hashing(MIH)is the state-of-the-art method for indexing binary codes.However,it is based on the dataset codes uniform distribution assumption,and will lower efficiency in dealing with non-uniformly distributed codes.In this paper,we propose a data-oriented multi-index hashing method.We first compute the correlations between bits and learn adaptive projection vector for each binary substring.Then,instead of using substrings as direct indices into hash tables,we project them with corresponding...
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