Results 51 to 60 of about 1,628,183 (185)

A Constrained Sparse Algorithm for Nonnegative Matrix Factorization

工程科学与技术, 2015
:Aiming at the lack of sparseness of factorization matrix in the nonnegative matrix factorization (NMF) algorithm,a new constrained NMF algorithm was proposed.A sparseness constraint was added to the original nonnegative matrix factorization (NMF ...
李臣明, 张师明, 李昌利
doaj  

Parallel Nonnegative Matrix Factorization with Manifold Regularization

Journal of Electrical and Computer Engineering, 2018
Nonnegative matrix factorization (NMF) decomposes a high-dimensional nonnegative matrix into the product of two reduced dimensional nonnegative matrices.
Fudong Liu, Zheng Shan, Yihang Chen
doaj   +1 more source

Nonnegative matrix factorization: an analytical and interpretive tool in computational biology. [PDF]

PLoS Computational Biology, 2008
In the last decade, advances in high-throughput technologies such as DNA microarrays have made it possible to simultaneously measure the expression levels of tens of thousands of genes and proteins.
Karthik Devarajan
doaj   +1 more source

SAR Target Recognition via Incremental Nonnegative Matrix Factorization

Remote Sensing, 2018
In synthetic aperture radar (SAR) target recognition, the amount of target data increases continuously, and thus SAR automatic target recognition (ATR) systems are required to provide updated feature models in real time.
Sihang Dang, Zongyong Cui, Zongjie Cao, Nengyuan Liu   +3 more
doaj   +1 more source

Safety Monitoring by a Graph-Regularized Semi-Supervised Nonnegative Matrix Factorization With Applications to a Vision-Based Marking Process

IEEE Access, 2020
This paper proposes a brand-new method to perform safety monitoring using images for steel coil marking industrial processes. The new safety monitoring method is developed with the aid of a new graph-regularized semi-supervised nonnegative matrix ...
Song Fan, Qilong Jia, Wan Sheng Cheng
doaj   +1 more source

Integrative Multi‐Omics Profiling Reveals Age‐Associated Genomic and Tumor Microenvironmental Heterogeneity in Colorectal Cancer

MedComm – Oncology, Volume 5, Issue 3, September 2026.
Integrated multi‐omics analysis defines an age‐resolved molecular–immune framework in colorectal cancer. Early‐onset tumors show reduced APC/KRAS alterations, frequent SMAD4 disruption, enriched PTPRK–RSPO3 fusions, and increased CD4+ memory T cells and mast cells with greater checkpoint responsiveness.
Yang Guo, Yajiao He, Tao Zhou, Haidong Zhang, Fei Liao, Yuelan Wang, Hai‐Ning Chen, Li‐Bin Huang, Xuyang Xia, Yiqi Deng, Jing Wu, Siyu Yang, Heng Xu, Zong‐Guang Zhou, Yang Shu, Lie Yang   +15 more
wiley   +1 more source

Beyond Distinction: Private Art Museums and Their Versatile Role for Elites' (Self)Legitimization Discourses

The British Journal of Sociology, Volume 77, Issue 4, Page 624-636, September 2026.
ABSTRACT The 2000s have witnessed a significant, worldwide boom in new art museums founded by private, wealthy collectors. While the arts have long been a key arena for the remaking of elite distinction and the reproduction of inequalities, this surge in private museums has sparked much controversy.
Sara de Andrade Silva, Kristina Kolbe, Olav Velthuis   +2 more
wiley   +1 more source

Simultaneous non-negative matrix factorization for multiple large scale gene expression datasets in toxiciology [PDF]

, 2012
Non-negative matrix factorization is a useful tool for reducing the dimension of large datasets. This work considers simultaneous non-negative matrix factorization of multiple sources of data.
Mudaliar, Manikhandan A. V., Miele, Geno, Higham, Desmond J., Crowther, Daniel, Lee, Clare M., Vass, J. Keith, Haggart, D.R., Wolf, C. Roland   +7 more
core   +2 more sources

Graph Regularized Constrained Non-Negative Matrix Factorization With Lₚ Smoothness for Image Representation

IEEE Access, 2020
Nonnegative matrix factorization-based image representation algorithms have been widely applied to deal with high-dimensional data in the past few years.
Zhenqiu Shu, Zonghui Weng, Yunmeng Zhang, Cong-Zhe You, Zhen Liu   +4 more
doaj   +1 more source

Impact of the Choice of Normalization Method on Molecular Cancer Class Discovery Using Nonnegative Matrix Factorization. [PDF]

PLoS ONE, 2016
Nonnegative Matrix Factorization (NMF) has proved to be an effective method for unsupervised clustering analysis of gene expression data. By the nonnegativity constraint, NMF provides a decomposition of the data matrix into two matrices that have been ...
Haixuan Yang, Cathal Seoighe
doaj   +1 more source