A Fast Neural Network Algorithm for Principal Singular Triplet Extraction
A fast and stable neural network algorithm for principal singular triplet (PST) extraction is proposed to perform the online singular value decomposition (SVD) of the cross-covariance matrix of two high-dimensional data streams. A novel information criterion is firstly proposed and then based on whi...
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| Hlavní autoři: | , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Editorial Department of Journal of Sichuan University (Natural Science Edition)
2016-01-01
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| Edice: | 四川大学学报. 自然科学版 |
| On-line přístup: | http://science.scu.edu.cn/thesisDetails?columnId=45832336&Fpath=home&index=0 |
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