In recent years, Locality sensitive hashing (LSH) has been popularly used as an effective and efficient index structure of multimedia signals.
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In recent years, Locality sensitive hashing (LSH) has been popularly used as an effective and efficient index structure of multimedia signals.
Aug 1, 2013 · LSH is originally proposed for resolving the high-dimensional approximate similarity search problem. Until now, many kinds of variations of LSH ...
Sep 4, 2018 · In this study, we propose a scalable approach for automatically identifying similar candidate instance pairs in very large datasets.
This study utilizes locality-sensitive hashing (LSH) technique to greatly improve the scalability of candidate instance pair generation and discovers the ...
(2013) An Improved Method of Locality Sensitive Hashing for Indexing Large-Scale and High-Dimensional Features. Signal Processing, 93, 2244-2255. http://dl ...
Feb 1, 2019 · In this study, we propose a scalable approach for automatically identifying similar candidate instance pairs in very large datasets.
An improved method of locality sensitive hashing for indexing large-scale and high-dimensional features ... Signal Process. 2013. 22 Citations.
Feb 17, 2021 · Locality. Sensitive Hashing (LSH) is one of the most popular techniques for finding approximate nearest neighbor searches in high-dimensional.
Mar 25, 2021 · Locality-sensitive hashing (LSH) is a set of techniques that dramatically speed up search-for-neighbours or near-duplication detection on data.