Robust semi-supervised nonnegative matrix factorization for image clustering

Nonnegative matrix factorization (NMF) is a powerful dimension reduction method, and has received increasing attention in various practical applications. However, most traditional NMF based algorithms are sensitive to noisy data, or fail to fully utilize the limited supervised information. In this p...

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Main Authors: Peng, Siyuan, Ser, Wee, Chen, Badong, Lin, Zhiping
其他作者: School of Electrical and Electronic Engineering
格式: Article
語言:English
出版: 2022
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在線閱讀:https://hdl.handle.net/10356/161282
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