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cs.LG2021
Spherical Matrix Factorization
Kai Liu
Matrix Factorization plays an important role in machine learning such as Non-negative Matrix Factorization, Principal Component Analysis, Dictionary Learning, etc. However, most of…
cs.LG2021
Robust Principal Component Analysis: A Construction Error Minimization Perspective
Kai Liu, Yarui Cao
In this paper we propose a novel optimization framework to systematically solve robust PCA problem with rigorous theoretical guarantee, based on which we investigate very computati…
eess.IV2021
Exact Sparse Orthogonal Dictionary Learning
Kai Liu, Yongjian Zhao, Hua Wang
Over the past decade, learning a dictionary from input images for sparse modeling has been one of the topics which receive most research attention in image processing and compresse…