本文的贡献 新的模型: Loss function和regularization都是l2,1范数 Loss funtion是l2范数,regularization是l2,1范数 Towards Structural Sparsity: An Explicit ℓ2/ℓ0 Approach(ICDataMining 2010) l2,1-Norm Regularized Discriminative Feature Selection for Unsupervised Learning.(IJCAI 2011) 求解Loss function和regularization都是l2,1范数的问题的algorithm,并且给出收敛证明。
Robust体现在哪? L2,1是旋转不变的l1范数 还有l2-norm loss function对外点敏感,l2,1-norm loss function对于可以去除外点