Reversed Spectral Hashing.

IEEE Transactions on Neural Networks and Learning Systems(2018)

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摘要
Hashing is emerging as a powerful tool for building highly efficient indices in large-scale search systems. In this paper, we study spectral hashing (SH), which is a classical method of unsupervised hashing. In general, SH solves for the hash codes by minimizing an objective function that tries to preserve the similarity structure of the data given. Although computationally simple, very often SH p...
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Optimization,Minimization,Neural networks,Buildings,Learning systems,Linear programming,Information science
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