Results 321 to 330 of about 142,276 (359)

Non-negative Matrix Factorization Techniques

2016
This book collects new results, concepts and further developments of NMF. The open problems discussed include, e.g. in bioinformatics: NMF and its extensions applied to gene expression, sequence analysis, the functional characterization of genes, clustering and text mining etc.
openaire   +2 more sources

Centric graph regularized log-norm sparse non-negative matrix factorization for multi-view clustering

Signal Processing, 2023
Yuzhu Dong, Hangjun Che, Man-Fai Leung, Cheng Liu, Zheng Yan   +4 more
semanticscholar   +1 more source

Multi-view data clustering via non-negative matrix factorization with manifold regularization

International Journal of Machine Learning and Cybernetics, 2021
G. Khan, Jie Hu, Tianrui Li, Bassoma Diallo, Hongjun Wang   +4 more
semanticscholar   +1 more source

Multi-view clustering guided by unconstrained non-negative matrix factorization

Knowledge-Based Systems, 2023
Ping Deng, Tianrui Li, Dexian Wang, Hongjun Wang, Hong Peng, S. Horng   +5 more
semanticscholar   +1 more source

Learning the parts of objects by non-negative matrix factorization

Nature, 1999
Daniel D. Lee, H. S. Seung
semanticscholar   +1 more source

Document clustering based on non-negative matrix factorization

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2003
W. Xu, Xin Liu, Yihong Gong
semanticscholar   +1 more source

Probabilistic Sparse Non-negative Matrix Factorization

2018
In this paper, we propose a probabilistic sparse non-negative matrix factorization model that extends a recently proposed variational Bayesian non-negative matrix factorization model to explicitly account for sparsity. We assess the influence of imposing sparsity within a probabilistic framework on either the loading matrix, score matrix, or both and ...
Jesper Løve Hinrich, Morten Mørup
openaire   +1 more source

Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values†

, 1994
P. Paatero, U. Tapper
semanticscholar   +1 more source

Soft-label guided non-negative matrix factorization for unsupervised feature selection

Expert systems with applications, 2023
Shixuan Zhou, Peng Song, Zihao Song, Liang Ji   +3 more
semanticscholar   +1 more source

A visually secure image encryption scheme based on adaptive block compressed sensing and non-negative matrix factorization

Optics & Laser Technology, 2023
Yuandi Shi, Rong-ling Chen, Donglin Liu, Bin Wang   +3 more
semanticscholar   +1 more source