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A data dependent dissimilarity measure based on mass estimation.
...The presentation video in KDD 2016 is published on https://youtu.be/eotD_-SuEoo .
Since this software is licensed under the Gnu General Public license GPLv3, any derivative work must be licensed under the GPL as well.
This software is free only for non-commercial use. For commercial projects, it is possible to obtain a commercial license through the Commercial Services of Federation University Australia.
Please email the first author of the original paper tingkm@nju.edu.cn for any inquiries about this software.
C++, Matlab and Python library for Hidden-state Conditional Random Fields. Implements 3 algorithms: LDCRF, HCRF and CRF. For Windows and Linux, 32- and 64-bits. Optimized for multi-threading. Works with sparse or dense input features.