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• W1487656206 abstract "Relation between a family of generalized Support Vector Machine (SVM) problems and the novel e-sparse representation is provided. In defining e-sparse representations, we use a natural generalization of the classical e-insensitive cost function for vectors. The insensitive parameter of the SVM problem is transformed into component-wise insensitivity and thus overall sparsification is replaced by component-wise sparsification. The connection between these two problems is built through the generalized Moore-Penrose inverse of the Gram matrix associated to the kernel." @default.
• W1487656206 created "2016-06-24" @default.
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• W1487656206 date "2006-01-20" @default.
• W1487656206 modified "2023-10-18" @default.
• W1487656206 title "ε- Sparse representations : generalized sparse approximation and the equivalent family of SVM tasks" @default.
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