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eess.IV2021★ 2 cited
Feature Weighted Non-negative Matrix Factorization
Mulin Chen, Maoguo Gong, Xuelong Li
Non-negative Matrix Factorization (NMF) is one of the most popular techniques for data representation and clustering, and has been widely used in machine learning and data analysis…
eess.IV2021
Entropy Minimizing Matrix Factorization
Mulin Chen, Xuelong Li
Nonnegative Matrix Factorization (NMF) is a widely-used data analysis technique, and has yielded impressive results in many real-world tasks. Generally, existing NMF methods repres…
eess.IV2019★ 237 cited
Optimal Clustering Framework for Hyperspectral Band Selection
Qi Wang, Fahong Zhang, Xuelong Li
Band selection, by choosing a set of representative bands in hyperspectral image (HSI), is an effective method to reduce the redundant information without compromising the original…