Two-dimensional semi-nonnegative matrix factorization for clustering

Kernel two-dimensional ridge regression for subspace clustering

(2020) Chong Peng et al.   PATTERN RECOGNITION

Robust Principal Component Analysis: A Factorization-Based Approach with Linear Complexity

(2019) Chong Peng et al.   INFORMATION SCIENCES

Integrate and Conquer

(2018) Chong Peng et al.   ACM Transactions on Intelligent Systems and Technology

Nonnegative Matrix Factorization with Integrated Graph and Feature Learning

(2017) Chong Peng et al.   ACM Transactions on Intelligent Systems and Technology

Tensor LRR and Sparse Coding-Based Subspace Clustering

(2016) Yifan Fu et al.   IEEE Transactions on Neural Networks and Learning Systems

A Fast Non-Smooth Nonnegative Matrix Factorization for Learning Sparse Representation

(2016) Zuyuan Yang et al.   IEEE Access

Feature selection and multi-kernel learning for sparse representation on a manifold

(2013) Jim Jing-Yan Wang et al.   NEURAL NETWORKS

Robust principal component analysis?

(2011) Emmanuel J. Candès et al.   JOURNAL OF THE ACM

Graph Regularized Nonnegative Matrix Factorization for Data Representation

(2010) Deng Cai et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Tensor Decompositions and Applications

(2009) Tamara G. Kolda et al.   SIAM REVIEW

Noise Removal From Hyperspectral Images by Multidimensional Filtering

(2008) D. Letexier et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Convex and Semi-Nonnegative Matrix Factorizations

(2008) C.H.Q. Ding et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE