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License: GNU General Public License v2.0
################################################################### # # # Composite Quantization for Approximate Nearest Neighbor Search # # # # Ting Zhang ([email protected]) # # Chao Du ([email protected]) # # Jingdong Wang ([email protected]) # # # ################################################################### ----------- What is it? ----------- This software library implements the composite quantization algorithm described in Composite Quantization for approximate nearest neighbor search. In International Conference on Machine Learning (ICML), 2014. If you use this software for research purposes, you should cite the aforementioned paper in any resulting publication. ------------------ The latest version ------------------ Version 1.0 (2015-01-28): Initial release. ------------ Installation ------------ See HOW_TO_INSTALL.txt. ------------- Documentation ------------- See HOW_TO_TRAINING.txt and HOW_TO_SEARCH.txt. ------------- Example usage ------------- See demo.cpp and config.txt in the source code folder. --------- Licensing --------- This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. --------- Reference --------- libLBFGS: http://www.chokkan.org/software/liblbfgs/index.html Fast k-means: http://research.microsoft.com/en-us/um/people/jingdw/LargeScaleClustering/index.html Product quantization: http://people.rennes.inria.fr/Herve.Jegou/projects/ann.html
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