An all-at-once approach to nonnegative tensor factorizations
Tensors can be viewed as multilinear arrays or generalizations of the notion of matrices. Tensor decompositions have applications in various fields such as psychometrics, signal processing, numerical linear algebra and data mining. When the data are nonnegative, the nonnegative tensor factorization...
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| Format: | Others |
| Language: | English |
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University of British Columbia
2008
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| Online Access: | http://hdl.handle.net/2429/1606 |