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LACU-SVM

Description: This package includes the MATLAB and C++ code of the LACU-SVM. It tries to recognize augmented classes by exploiting unlabeled data, where the examples of augmented classes are not observable during training but appears during test. A Readme file and an example file are included in the package.

References:
Qing Da, Yang Yu, and Zhi-Hua Zhou. Learning with Augmented Class by Exploiting Unlabeled Data. In: Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI'14), Qu├ębec city, Canada, 2014.

ATTN: This package is free for academic usage. You can run it at your own risk. For other purposes, please contact .

Requirement: The package was developed with MATLAB and C++.

ATTN2: This package was developed by . For any problem concerning the code, please feel free to contact Mr. Da.

Download: [code] (1.7M)
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