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Guillermo García Franco, Mauricio Villegas, Roberto Paredes. SAGH a supervised image hashing technique. Actas del WSRFAI 2013, 2013. pp. 17-20.

Hashing techniques have become very popular to solve the content-based image retrieval problem in gigantic image databases because they allow to represent feature vectors using compact binary codes. Binary codes provide speed and are memory-efficient. Different approaches have been taken by researchers, some of them based on the Spectral Hashing objective function, among these the recently proposed Anchor Graph Hashing. In this paper we propose an extension to the Anchor Graph Hashing technique which deals with supervised/label information. This extension is based on representing the samples in an intermediate semantic space that comes from the definition of an equivalence relation in a intermediate geometric hashing.