3 citations · 8 across the 7 of their papers we have counts for
4 papers · 1 filter
A Provable Splitting Approach for Symmetric Nonnegative Matrix Factorization
Xiao Li, Zhihui Zhu, Qiuwei Li +1
The symmetric Nonnegative Matrix Factorization (NMF), a special but important class of the general NMF, has found numerous applications in data analysis such as various clustering…
Rethinking Symmetric Matrix Factorization: A More General and Better Clustering Perspective
Mengyuan Zhang, Kai Liu
Nonnegative matrix factorization (NMF) is widely used for clustering with strong interpretability. Among general NMF problems, symmetric NMF is a special one that plays an importan…
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…
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…