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Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-way Data Analysis and Blind Source Separation Cichocki, Andrzej (Riken Brain Science Institute)
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Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-way Data Analysis and Blind Source Separation
Cichocki, Andrzej (Riken Brain Science Institute)
This book provides a broad survey of models and efficient algorithms for Nonnegative Matrix Factorization (NMF). This includes NMF's various extensions and modifications, especially Nonnegative Tensor Factorizations (NTF) and Nonnegative Tucker Decompositions (NTD).
500 pages, Illustrations
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2009. gada 1. novembris |
| ISBN13 | 9780470746660 |
| Izdevēji | John Wiley & Sons Inc |
| Lapas | 504 |
| Izmēri | 176 × 251 × 30 mm · 1,22 kg |
| Valoda | Angļu |
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