Multidimensional spectral hashing

ECCV (5), pp. 340-353, 2012.

Cited by: 162|Bibtex|Views114|DOI:https://doi.org/10.1007/978-3-642-33715-4_25
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Other Links: dl.acm.org|dblp.uni-trier.de|academic.microsoft.com

Abstract:

With the growing availability of very large image databases, there has been a surge of interest in methods based on "semantic hashing", i.e. compact binary codes of data-points so that the Hamming distance between codewords correlates with similarity. In reviewing and comparing existing methods, we show that their relative performance can...More

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