Nuclear Norm Based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes
PulseAugur coverage of Nuclear Norm Based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes — every cluster mentioning Nuclear Norm Based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes across labs, papers, and developer communities, ranked by signal.
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New research unifies linear recommendation models under norm-based regularization
This paper investigates the regularization landscape of linear recommendation models, finding that top-performing models primarily use either nuclear-norm or Frobenius-norm based regularizers. While nuclear-norm solutio…
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New convex optimization framework for logistic matrix regression introduced
Researchers have developed a new convex optimization framework for logistic scalar-on-matrix regression. This method incorporates nuclear and $\ell_1$ norm penalties to simultaneously enforce low-rank and sparse structu…