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An Efficient Orthonormalization-Free Approach for Sparse Dictionary Learning and Dual Principal Component Pursuit
Sparse dictionary learning (SDL) is a classic representation learning method and has been widely used in data analysis. Recently, the [Formula: see text]-norm ([Formula: see text]) maximization has been proposed to solve SDL, which reshapes the problem to an optimization problem with orthogonality c...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7308875/ https://www.ncbi.nlm.nih.gov/pubmed/32471176 http://dx.doi.org/10.3390/s20113041 |