Results 141 to 150 of about 13,867 (163)

Sparse symmetric nonnegative matrix factorization applied to face recognition

2017 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2017
The task of Sparse Symmetric Nonnegative Matrix Factorization(SSNMF) is formulated as optimization problem and solved numerically with the method of projected gradients descent. The adjustable sparsity level allows to emphasize the most significant object features.
Hennadii Dobrovolskyi, Nataliya Keberle, Yehor Ternovyy   +2 more
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Block Iteratively Reweighted Algorithms for Robust Symmetric Nonnegative Matrix Factorization

IEEE Signal Processing Letters, 2018
This letter is concerned with the symmetric nonnegative matrix factorization in the presence of heavy-tailed outliers. We address this problem under a formulation involving some robust loss functions, instead of the standard squared-error loss. To handle the original computationally intractable problem, we present an efficient block iteratively ...
Zhen-Qing He, Xiaojun Yuan
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Multi-view clustering via graph regularized symmetric nonnegative matrix factorization

2016 IEEE International Conference on Cloud Computing and Big Data Analysis (ICCCBDA), 2016
Multi-view clustering has become a hot topic since the past decade and nonnegative matrix factorization (NMF) based multi-view clustering algorithms have shown their superiorities. Nevertheless, two drawbacks prevent NMF based multi-view algorithms from being a better algorithm: (1) The solution of NMF based multi-view algorithms is not unique.
Xianchao Zhang, null Zhongxiu Wang, Linlin Zong, Hong Yu   +3 more
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Integrating Symmetric Nonnegative Matrix Factorization and Normalized Cut Spectral Clustering

2010 IEEE International Conference on Data Mining Workshops, 2010
In this paper, we integrate symmetric NMF and normalized cut into a single clustering framework and derive the computational algorithm. Another contribution is to provide a new matrix inequality which is useful for the analysis of 4-th order matrix polynomials.
Zhichen Xia, Chris Ding
openaire   +1 more source

Minimum-volume-regularized weighted symmetric nonnegative matrix factorization for clustering

2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2016
In recent years, nonnegative matrix factorization (NMF) attracts much attention in machine learning and signal processing fields due to its interpretability of data in a low dimensional subspace. For clustering problems, symmetric nonnegative matrix factorization (SNMF) as an extension of NMF factorizes the similarity matrix of data points directly and
Tianxiang Gao, Sigurdur Olofsson, Songtao Lu   +2 more
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A Collaborative Neurodynamic Approach to Symmetric Nonnegative Matrix Factorization

2018
This paper presents a collaborative neurodynamic approach to symmetric nonnegative matrix factorization (SNMF). First, a formulated nonconvex optimization problem of SNMF is described. To solve this problem, a neurodynamic model based on an augmented Lagrangian function is proposed and proven to be convergent to a strict local optimal solution under ...
Hangjun Che, Jun Wang
openaire   +1 more source

Adaptive computation of the Symmetric Nonnegative Matrix Factorization (NMF)

2018
Nonnegative Matrix Factorization (NMF), first proposed in 1994 for data analysis, has received successively much attention in a great variety of contexts such as data mining, text clustering, computer vision, bioinformatics, etc. In this paper the case of a symmetric matrix is considered and the symmetric nonnegative matrix factorization (SymNMF) is ...
P. Favati (1), G. Lotti (2), O. Menchi (3), F. Romani (3)   +3 more
openaire   +1 more source

ESNMF: Evolutionary Symmetric Nonnegative Matrix Factorization for Dissecting Dynamic Microbial Networks

2018
Dynamic network is drawing more and more attention due to its potential in capturing time-dependent phenomena such as online public opinion and biological system. Microbial interaction networks that model the microbial system are often dynamic, static analysis methods are difficult to obtain reliable knowledge on evolving communities.
Yuanyuan Ma, Xiaohua Hu, Tingting He, Xianchao Zhu, Meijun Zhou, Xingpeng Jiang   +5 more
openaire   +1 more source

Symmetric Nonnegative Matrix Factorization for Graph Clustering

Proceedings of the 2012 SIAM International Conference on Data Mining, 2012
Da Kuang, Chris Ding, Haesun Park
openaire   +1 more source

A unified framework of community hiding using symmetric nonnegative matrix factorization

Information Sciences
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dong Liu, Ruoxue Jia, Xia Liu, Wensheng Zhang   +3 more
openaire   +2 more sources