Making Online Sketching Hashing Even Faster

Data-dependent hashing methods have demonstrated good performance in various machine learning applications to learn a low-dimensional representation from the original data. However, they still suffer from several obstacles: First, most of existing hashing methods are trained in a batch mode, yieldin...

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Veröffentlicht in:	IEEE transactions on knowledge and data engineering 2021-03, Vol.33 (3), p.1089-1101
Hauptverfasser:	Chen, Xixian, Yang, Haiqin, Zhao, Shenglin, King, Irwin, Lyu, Michael R.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Approximation algorithms Computational efficiency Computing costs Data models dimension reduction Economics Hash functions Hashing Machine learning online learning Principal component analysis sketching Training
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