LAUSR

Adaptive Hashing With Sparse Matrix Factorization

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0 Published in 2020 at "IEEE Transactions on Neural Networks and Learning Systems"

DOI: 10.1109/tnnls.2019.2954856

Abstract: Hashing offers a desirable and effective solution for efficiently retrieving the nearest neighbors from large-scale data because of its low storage and computation costs. One of the most appealing techniques for hashing learning is matrix… read more here.

Keywords: matrix factorization; factorization; adaptive hashing; sparse matrix ... See more keywords