Angular Quantization-based Binary Codes for Fast Similarity Search

This paper focuses on the problem of learning binary embeddings for efficient retrieval of high-dimensional non-negative data. Such data typically arises in a large number of vision and text applications where counts or frequencies are used as features... (read more)

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