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On A Nonlinear Generalization of Sparse Coding and Dictionary Learning
Existing dictionary learning algorithms are based on the assumption that the data are vectors in an Euclidean vector space ℝ(d), and the dictionary is learned from the training data using the vector space structure of ℝ(d) and its Euclidean L(2)-metric. However, in many applications, features and da...
Gorde:
| Egile Nagusiak: | , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
2013
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3796141/ https://ncbi.nlm.nih.gov/pubmed/24129583 |
| Etiketak: |
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