Distributed Complementary Binary Quantization for Joint Hash Table Learning
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DOI: 10.1109/tnnls.2020.2965992
Abstract: Building multiple hash tables serves as a very successful technique for gigantic data indexing, which can simultaneously guarantee both the search accuracy and efficiency. However, most of existing multitable indexing solutions, without informative hash codes… read more here.
Keywords: hash; complementary binary; quantization; cbq ... See more keywords