Bao-Jie Pan

Sparse-Gradient-Regularized Multi-View Clustering with Joint ℓ2,log Sparsity and a Tensor γ* Rank Surrogate

The proposed SGLog-γ∗-MSC, a nonconvex multi-view subspace clustering framework that combines graph total variation, an ℓ2,log penalty, and a tensor γ∗ spectral penalty, supports combining robust error modeling with local and shared structural regularization while emphasizing the dataset dependence of individual compon...