Dual Graph Regularized Latent Low-rank Representation for Subspace Clustering

We propose a dual graph regularized LRR model (DGLRR) by enforcing preservation of geometric information in both the ambient space and the feature space.

Accelerated Proximal Gradient Methods for Nonconvex Programming

We extend APG for general nonconvex and nonsmooth programs by introducing a monitor that satisfies the sufficient descent property

Generalized Singular Value Thresholding

This paper studied the Generalized Singular Value Thresholding (GSVT) operator associated with the nonconvex function g on the singular values.

Proximal Iteratively Reweighted Algorithm with Multiple Splitting for Nonconvex Sparsity Optimization

This paper proposes the PIRE algorithm for solving the general optimization problem.

L1-Norm Kernel Discriminant Analysis Via Bayes Error Bound Optimization for Robust Feature Extraction

With the L1-norm discriminant criterion, we propose a new linear discriminant analysis (L1-LDA) method for linear feature extraction problem.