Generalized Residual Vector Quantization and Aggregating Tree for Large Scale Search

Vector quantization is an essential tool for tasks involving large scale data, for example, large scale similarity search, which is crucial for content-based information retrieval and analysis. In this paper, we propose a novel vector quantization framework that iteratively minimizes quantization er...

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Veröffentlicht in:IEEE transactions on multimedia 2017-08, Vol.19 (8), p.1785-1797
Hauptverfasser: Liu, Shicong, Shao, Junru, Lu, Hongtao
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Sprache:eng
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