Numerical optimization serves as one of the pillars of machine learning. To meet the demands of big data applications, lots of efforts have been done on designing theoretically and practically fast algorithms. This paper provides a comprehensive …
In this paper, we consider the Tensor Robust Principal Component Analysis (TRPCA) problem, which aims to exactly recover the low-rank and sparse components from their sum. Our model is based on the recently proposed tensor-tensor product (or …
We proposed new algorithms for GVF and GGVF computation. Our methods are comparable with the MGVF method, and are more simple. We applied the proposed methods to GVF snake for image segmentation. GVF-based anisotropic diffusion model confirms the validity of our new methods.
This paper proposes a generalized accelerated prox- imal gradient (GAPG) approach for solving total variation (TV) based image restoration problems.