Locality-sensitive hashing: Difference between revisions
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Locality-sensitive hashing is a technique for hashing values in a way that preserves distance been the objects and their hash values. | Locality-sensitive hashing is a technique for hashing values in a way that preserves distance been the objects and their hash values. | ||
It is commonly used in computer vision for matching feature descriptors. | |||
Latest revision as of 15:01, 24 June 2021
Locality-sensitive hashing is a technique for hashing values in a way that preserves distance been the objects and their hash values.
It is commonly used in computer vision for matching feature descriptors.