Results 71 to 80 of about 3,813,510 (369)
Multi‐view registration based on weighted LRS matrix decomposition of motions
IET Computer Vision, 2019 Recently, the low‐rank and sparse (LRS) matrix decomposition has been introduced as an effective mean to solve the multi‐view registration. It views each available relative motion as a block element to reconstruct one sparse matrix, which then is used to
Congcong Jin +5 more
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Efficient Preference Clustering via Random Fourier Features
Big Data Mining and Analytics, 2019 Approximations based on random Fourier features have recently emerged as an efficient and elegant method for designing large-scale machine learning tasks.
Jingshu Liu, Li Wang, Jinglei Liu
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Identification of Successive “Unobservable” Cyber Data Attacks in Power Systems Through Matrix Decomposition [PDF]
IEEE Transactions on Signal Processing, 2016 This paper presents a new framework of identifying a series of cyber data attacks on power system synchrophasor measurements. We focus on detecting “unobservable” cyber data attacks that cannot be detected by any existing method that purely relies on ...
Pengzhi Gao +6 more
semanticscholar +1 more source
Numerical Matrix Decomposition
, 2021 In 1954, Alston S. Householder published \textit{Principles of Numerical Analysis}, one of the first modern treatments on matrix decomposition that favored a (block) LU decomposition-the factorization of a matrix into the product of lower and upper triangular matrices.
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Singular random matrix decompositions: distributions [PDF]
Journal of Multivariate Analysis, 2005 Assuming that Y has a singular matrix variate elliptically contoured distribution with respect to the Hausdorff measure, the distributions of several matrices associated to QR, modified QR, SV and Polar decompositions of matrix Y are determined, for central and non-central, non-singular and singular cases, as well as their relationship to the Wishart ...
González Farías, Graciela +1 more
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Advanced Engineering Materials, EarlyView.This study designs Ta–Mo–Cr–Ti–Al refractory high‐entropy alloys with a disordered body‐centered‐cubic A2 crystal structure aiming for improved ductility, lower density, and oxidation resistance. Four alloy compositions are identified by thermodynamic calculations.
Kateryna Khanchych +7 more
wiley +1 more source
Amplitude-Preserved Wave Equation: An Example to Image the Gas Hydrate System
Energies, 2021 Natural gas hydrate is an important energy source. Therefore, it is extremely important to provide a clear imaging profile to determine its distribution for energy exploration. In view of the problems existing in conventional migration methods, e.g., the
Jiachun You +4 more
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An Improved Traffic Matrix Decomposition Method with Frequency-Domain Regularization
, 2012 We propose a novel network traffic matrix decomposition method named Stable Principal Component Pursuit with Frequency-Domain Regularization (SPCP-FDR), which improves the Stable Principal Component Pursuit (SPCP) method by using a frequency-domain noise
Hu, Kai, Wang, Zhe, Yin, Baolin
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Matrix methods in decompositions of modules
Linear Algebra and its Applications, 1980 AbstractMatrix methods of elementary linear algebra are extended to general direct-sum decompositions of modules. These methods are then shown to yield simple proofs of some well-known theorems, notably the Beck-Warfield “mutual exchange property” and the Krull-Schmidt theorem.
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Advanced Engineering Materials, EarlyView.The utilization of direct energy deposition (DED)‐arc additive manufacturing processes in industrial applications is increasing, and these processes have the potential for multi‐material applications. This work provides a overview of the state of research in DED‐arc made functional graded structures, to establish a link to potential industrial ...
Kai Treutler, Volker Wesling
wiley +1 more source