File:Tensor Factor Analysis versus Tensor Regression.png
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English: Tensor factorizations may be causal in nature or simply perform regression. (a) Disentangling causal factors with multilinear space learning from a collection of vectorized images, where each image is treated as a single observation. (b) Computing the column and row subspaces with multilinear space learning from a collection of images concatenated into a third order tensor. An image is treated collection of column/row observations.[1] |
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| Source | Own work |
| Author | Alexmov |
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 22:44, 19 March 2023 | | 997 × 904 (422 KB) | Alexmov (talk | contribs) | Uploaded while editing "Multilinear subspace learning" on en.wikipedia.org |
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