We propose a dual graph regularized LRR model (DGLRR) by enforcing preservation of geometric information in both the ambient space and the feature space.
We extend APG for general nonconvex and nonsmooth programs by introducing a monitor that satisfies the sufficient descent property
This paper studied the Generalized Singular Value Thresholding (GSVT) operator associated with the nonconvex function g on the singular values.
This paper proposes the PIRE algorithm for solving the general optimization problem.
With the L1-norm discriminant criterion, we propose a new linear discriminant analysis (L1-LDA) method for linear feature extraction problem.