Weakly-supervised hashing in kernel space

The explosive growth of the vision data motivates the recent studies on efficient data indexing methods such as locality-sensitive hashing (LSH). Most existing approaches perform hashing in an unsupervised way. In this paper we move one step forward and propose a supervised hashing method, i.e., the...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Yadong Mu, Jialie Shen, Shuicheng Yan
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Explosives Hilbert space Indexing Internet Kernel Lamps Large-scale systems Markov random fields Partitioning algorithms Quadratic programming
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