Introduces L_ht-SVM using a hybrid truncated loss for robust sparse single-view classification with an ADMM solver, plus a multi-view extension MvL_ht-SVM.
IEEE Transactions on Pattern Analysis & Machine Intelligence 44, 7253–7265
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Robust and sparse support vector machine via hybrid truncated loss for supervised classification
Introduces L_ht-SVM using a hybrid truncated loss for robust sparse single-view classification with an ADMM solver, plus a multi-view extension MvL_ht-SVM.