Parametric and nonparametric residual vector quantization optimizations for ANN search

Chuanqing Li
Chuanqing Li
Lv Wu
Lv Wu

Neurocomputing, Volume 217, Issue C, 2016, Pages 92-102.

Cited by: 5|Views47
EI

Abstract:

For approximate nearest neighbor (ANN) search in many vision-based applications, vector quantization (VQ) is an efficient compact encoding technology. A representative approach of VQ is product quantization (PQ) which quantizes subspaces separately by Cartesian product and achieves high accuracy. But its space decomposition still leads to...More

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