Robust orthogonal nonnegative matrix tri-factorization for data representation
Nonnegative matrix factorization (NMF) has been a vital data representation technique, and has demonstrated significant potential in the field of machine learning and data mining. Nonnegative matrix tri-factorization (NMTF) is an extension of NMF, and provides more degrees of freedom than NMF. In th...
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Main Authors: | Peng, Siyuan, Ser, Wee, Chen, Badong, Lin, Zhiping |
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Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2022
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/161108 |
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Institution: | Nanyang Technological University |
Language: | English |
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