Results 1 to 10 of about 11,649,749 (258)
Scheme of extending elliptic curve method to three phases
网络与信息安全学报, 2018 Elliptic curve method for integer factorization (ECM) is one of the most popular integer factorization algorithms,and it was firstly proposed by Lenstra in 1985.The original ECM contained just first phase.Since its invention,researches about the ...
Guiwen LUO
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Discriminative Multiple Kernel Concept Factorization for Data Representation
IEEE Access, 2020 Concept Factorization (CF) improves Nonnegative matrix factorization (NMF), which can be only performed in the original data space, by conducting factorization within proper kernel space where the structure of data become much clear than the original ...
Lin Mu +5 more
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Adaptive Kernel Graph Nonnegative Matrix Factorization
Information, 2023 Nonnegative matrix factorization (NMF) is an efficient method for feature learning in the field of machine learning and data mining. To investigate the nonlinear characteristics of datasets, kernel-method-based NMF (KNMF) and its graph-regularized ...
Rui-Yu Li, Yu Guo, Bin Zhang
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A Quasi-Explicit Method Applied to Missing Boundary Data Reconstruction for the Stokes System
AxiomsIn this paper, we study the data completion problem for the Cauchy–Stokes equation in a cylindrical domain, Ω. Neumann and Dirichlet boundary conditions are prescribed on part of the overdetermined boundary, Γ0, and the goal is to complete the data on ...
Abdulaziz H. Alharbi +3 more
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Molecules, 2017 Detecting genomes with similar expression patterns using clustering techniques plays an important role in gene expression data analysis. Non-negative matrix factorization (NMF) is an effective method for clustering the analysis of gene expression data ...
Rong Zhu +3 more
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Sparse data embedding and prediction by tropical matrix factorization
BMC Bioinformatics, 2021 Background Matrix factorization methods are linear models, with limited capability to model complex relations. In our work, we use tropical semiring to introduce non-linearity into matrix factorization models.
Amra Omanović +3 more
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Unique Symbolic Factorization for Fast Contingency Analysis Using Full Newton–Raphson Method
Energies, 2023 Contingency analysis plays an important role in assessing the static security of a network. Its purpose is to check whether a system can operate safely when some elements are out of service.
Hakim Bennani +2 more
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Factorization of the Non-Normal Hamiltonian of Reggeon Field Theory in Bargmann Space
MathematicsIn this paper, we present a “non-linear” factorization of a family of non-normal operators arising from Gribov’s theory of the following form: Hλ′,μ,λ=λ′A*2A2+μA*A+iλA*(A+A*)A, where the quartic Pomeron coupling λ′, the Pomeron intercept μ and the triple
Abdelkader Intissar
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Symmetry, Integrability and Geometry: Methods and Applications, 2013 We analyze the dynamical equations obeyed by a classical system with position-dependent mass. It is shown that there is a non-conservative force quadratic in the velocity associated to the variable mass.
Sara Cruz y Cruz, Oscar Rosas-Ortiz
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Robust Local Learning and Discriminative Concept Factorization for Data Representation
IEEE Access, 2018 Concept factorization (CF), as a matrix factorization method, has been applied widely in obtaining an optimal data representation and has yielded impressive results. However, some shortcomings exist in the existing CF method.
Wei Jiang +4 more
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