An Interpretable Compression and Classification System: Theory and Applications

碩士 === 國立交通大學 === 電控工程研究所 === 108 === This study proposes a low-complexity interpretable classification system. The proposed system contains main modules including feature extraction, feature reduction, and classification. All of them are linear. Thanks to the linear property, the extracted and redu...

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Bibliographic Details
Main Authors: Tseng, Tzu-Wei, 曾子維
Other Authors: Tsai, Shang-Ho
Format: Others
Language:en_US
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/5xnx5x