Results 81 to 90 of about 7,807 (178)

Similarity Learning-Induced Symmetric Nonnegative Matrix Factorization for Image Clustering

IEEE Access, 2019
As a typical variation of nonnegative matrix factorization (NMF), symmetric NMF (SNMF) is capable of exploiting information of the cluster embedded in the matrix of similarity.
Wei Yan, Bob Zhang, Zuyuan Yang, Shengli Xie   +3 more
doaj   +1 more source

Approximate Nonnegative Matrix Factorization via Alternating Minimization

, 2004
In this paper we consider the Nonnegative Matrix Factorization (NMF) problem: given an (elementwise) nonnegative matrix $V \in \R_+^{m\times n}$ find, for assigned $k$, nonnegative matrices $W\in\R_+^{m\times k}$ and $H\in\R_+^{k\times n}$ such that $V ...
Finesso, Lorenzo, Spreij, Peter
core   +1 more source

Novel methods for spatial risks analysis and quantitative source apportionment of heavy metals pollution in agricultural soils

Journal of Agriculture and Food Research
Precision pollution control relies on accurate spatial interpolation and quantitative source apportionment. This study addresses key methodological gaps by developing two novel tools: a non-negative constrained biharmonic spline interpolation algorithm ...
Qinqin Yu, Jinying Li, Jiahao Li, Tong Liu, Fangyuan Chen, Yao Liu, Haoming Wang, Shaoyang Tao, Min Zhou, Haobo Hou   +9 more
doaj   +1 more source

Nonnegative Matrix Factorization of time frequency representation of vibration signal for local damage detection – comparison of algorithms

E3S Web of Conferences, 2018
Local damage detection in rotating machine elements is very important problem widely researched in the literature. One of the most common approaches is the vibration signal analysis.
Wodecki Jacek
doaj   +1 more source

Factoring nonnegative matrices with linear programs [PDF]

, 2012
This paper describes a new approach, based on linear programming, for computing nonnegative matrix factorizations (NMFs). The key idea is a data-driven model for the factorization where the most salient features in the data are used to express the ...
Bittorf, Victor, Re, Christopher, Recht, Benjamin, Tropp, Joel A.   +3 more
core   +1 more source

From RCD pathways to precision oncology: A spatially‐aware approach in HCC

Malignancy Spectrum, Volume 2, Issue 4, Page 214-215, December 2025.
Haider Imran, Zahra A. Haque, Minhal Imaan, Muhammad A. Aslam   +3 more
wiley   +1 more source

Document Clustering Based On Max-Correntropy Non-Negative Matrix Factorization [PDF]

, 2014
Nonnegative matrix factorization (NMF) has been successfully applied to many areas for classification and clustering. Commonly-used NMF algorithms mainly target on minimizing the $l_2$ distance or Kullback-Leibler (KL) divergence, which may not be ...
Li, Le, Qin, Zhen, Xu, Yang, Yang, Jianjun, Zhang, Honggang   +4 more
core  

Nonnegative factorization and the maximum edge biclique problem [PDF]

Nonnegative matrix factorization (NMF) is a data analysis technique based on the approximation of a nonnegative matrix with a product of two nonnegative factors, which allows compression and interpretation of nonnegative data. In this paper, we study the
GILLIS, Nicolas, GLINEUR, François
core  

A Hybrid Algorithm for Estimating Origin-Destination Flows

IEEE Access, 2018
With the development of intelligent transportation systems, the estimation of traffic flow in urban areas has attracted a great attention of researchers.
Xianghua Li, Jurgen Kurths, Chao Gao, Junwei Zhang, Zhen Wang, Zili Zhang   +5 more
doaj   +1 more source

Note Onset Detection via Nonnegative Factorization of Magnitude Spectrum

EURASIP Journal on Advances in Signal Processing, 2008
A novel approach for onset detection of musical notes from audio signals is presented. In contrast to most commonly used conventional approaches, the proposed method features new detection functions constructed from the linear temporal bases that are ...
Saeid Sanei, Jonathon A. Chambers, Yuhui Luo, Wenwu Wang   +3 more
doaj   +1 more source