FAST ALGORITHMS FOR HIGHER-ORDER SINGULAR VALUE DECOMPOSITION FROM INCOMPLETE DATA
Higher-order singular value decomposition （HOSVD） is an efficient way for data reduction and also eliciting intrinsic structure of multi-dimensional array data. It has been used in many applications, and some of them involve incomplete data. To obtain HOSVD of the data with missing values, one can f...
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| Published in | Journal of computational mathematics Vol. 35; no. 4; pp. 397 - 422 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
Chinese Academy of Mathematices and Systems Science (AMSS) Chinese Academy of Sciences
01.01.2017
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| Online Access | Get full text |
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