Survey reviews product quantization methods for approximated nearest neighbor search, highlighting their significance.
Product Quantization (PQ) search and its derivatives are popular and successful methods for large-scale approximated nearest neighbor search. In this paper, we review the fundamental algorithm of this class of algorithms and provide executable sample codes. We then provide a comprehensive survey of the recent PQ-based methods.
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Matsui et al. (2017) studied this question.
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