arXiv 2002.043482020-02-11cs.LGstat.ML

Incremental Fast Subclass Discriminant Analysis

Tampere University（坦佩雷大学）；Finnish Environment Institute（芬兰环境研究所）；Aarhus University（奥胡斯大学）

Kateryna Chumachenko, Jenni Raitoharju, Moncef Gabbouj, Alexandros Iosifidis

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英文摘要：

This paper proposes an incremental solution to Fast Subclass Discriminant Analysis (fastSDA). We present an exact and an approximate linear solution, along with an approximate kernelized variant. Extensive experiments on eight image datasets with different incremental batch sizes show the superiority of the proposed approach in terms of training time and accuracy being equal or close to fastSDA solution and outperforming other methods.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。

英文摘要：

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