Results 31 to 40 of about 208,766 (283)
Uncovering community structures with initialized Bayesian nonnegative matrix factorization. [PDF]
PLoS ONE, 2014 Uncovering community structures is important for understanding networks. Currently, several nonnegative matrix factorization algorithms have been proposed for discovering community structure in complex networks.
Xianchao Tang +3 more
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Improved Matrix Factorization Algorithm Using Social Information for Recommendation [PDF]
Jisuanji gongcheng, 2021 The recommendation models using matrix factorization have high accuracy and scalability, and they are preferred by most researchers in building a recommendation system that integrates social information.However, in the process of factorization, the ...
JIA Junjie, LIU Pengtao, CHEN Wanghu
doaj +1 more source
Sparse Deep Nonnegative Matrix Factorization
Big Data Mining and Analytics, 2020 Nonnegative Matrix Factorization (NMF) is a powerful technique to perform dimension reduction and pattern recognition through single-layer data representation learning. However, deep learning networks, with their carefully designed hierarchical structure,
Zhenxing Guo, Shihua Zhang
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Quaternion Matrix Factorization for Low-Rank Quaternion Matrix Completion
Mathematics, 2023 The main aim of this paper is to study quaternion matrix factorization for low-rank quaternion matrix completion and its applications in color image processing.
Jiang-Feng Chen +3 more
doaj +1 more source
LU factorization with panel rank revealing pivoting and its communication avoiding version [PDF]
, 2012 We present the LU decomposition with panel rank revealing pivoting (LU_PRRP), an LU factorization algorithm based on strong rank revealing QR panel factorization. LU_PRRP is more stable than Gaussian elimination with partial pivoting (GEPP).
Demmel, James W. +3 more
core +9 more sources
Localization of Matrix Factorizations [PDF]
Foundations of Computational Mathematics, 2014 Matrices with off-diagonal decay appear in a variety of fields in mathematics and in numerous applications, such as signal processing, statistics, communications engineering, condensed matter physics, and quantum chemistry. Numerical algorithms dealing with such matrices often take advantage (implicitly or explicitly) of the empirical observation that ...
Krishtal, Ilya +2 more
openaire +4 more sources
Face Recognition Based on Wavelet Kernel Non-Negative Matrix Factorization
Cybernetics and Information Technologies, 2014 In this paper a novel face recognition algorithm, based on wavelet kernel non-negative matrix factorization (WKNMF), is proposed. By utilizing features from multi-resolution analysis, the nonlinear mapping capability of kernel nonnegative matrix ...
Bai, Lin, Li Yanbo, Hui Meng
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Discriminant projective non-negative matrix factorization. [PDF]
PLoS ONE, 2013 Projective non-negative matrix factorization (PNMF) projects high-dimensional non-negative examples X onto a lower-dimensional subspace spanned by a non-negative basis W and considers W(T) X as their coefficients, i.e., X≈WW(T) X.
Naiyang Guan +4 more
doaj +1 more source
A Spectral Theory for Tensors [PDF]
, 2011 In this paper we propose a general spectral theory for tensors. Our proposed factorization decomposes a tensor into a product of orthogonal and scaling tensors.
Elgammal, Ahmed +2 more
core +2 more sources
Quivers from Matrix Factorizations [PDF]
Communications in Mathematical Physics, 2012 We discuss how matrix factorizations offer a practical method of computing the quiver and associated superpotential for a hypersurface singularity. This method also yields explicit geometrical interpretations of D-branes (i.e., quiver representations) on a resolution given in terms of Grassmannians. As an example we analyze some non-toric singularities
Aspinwall, Paul S., Morrison, David R.
openaire +2 more sources