著者
Yusuke Matsui Yusuke Uchida Hervé Jégou Shin'ichi Satoh
出版者
The Institute of Image Information and Television Engineers
雑誌
ITE Transactions on Media Technology and Applications (ISSN:21867364)
巻号頁・発行日
vol.6, no.1, pp.2-10, 2018 (Released:2018-01-01)
参考文献数
53

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.

言及状況

外部データベース (DOI)

Twitter (7 users, 7 posts, 26 favorites)

https://t.co/igROSJWWqS “Fast search with GPUs begins to be studied, which might be one of the next promising directions for ANN research”

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