Results 11 to 20 of about 150,932 (264)
Matrix Decomposition and Applications
CoRR, 2022 In 1954, Alston S. Householder published 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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Multiresolution matrix factorisation as a compression method for smart meter data
The Journal of Engineering, 2020 The development of a smart grid electricity distribution network with advanced technology in smart metering will produce a massive amount of data. However, the limitation in communication network bandwidth makes it hard to transmit these data to the ...
Arfah Ahmad +5 more
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RMPD: Method for Enhancing the Robustness of Recommendations With Attack Environments
IEEE Access, 2021 Personalized item recommendation has become a hot topic research among academic and industry community. But lots of purposeful fraudsters maybe perform different attacks on the recommender system to insert fake ratings, which could reduce the ...
Qi Ding +4 more
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Special Matrices, 2020 An important decomposition for unitary matrices, the CMV-decomposition, is extended to general non-unitary matrices. This relates to short recurrence relations constructing biorthogonal bases for a particular pair of extended Krylov subspaces.
Van Buggenhout Niel +2 more
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Orthogonal tucker decomposition using factor priors for 2D+3D facial expression recognition
IET Biometrics, 2021 In this article, an effective approach is proposed to recognise the 2D+3D facial expression automatically based on orthogonal Tucker decomposition using factor priors (OTDFPFER).
Yunfang Fu +4 more
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On decomposition of k-tridiagonal ℓ-Toeplitz matrices and its applications
Special Matrices, 2015 We consider a k-tridiagonal ℓ-Toeplitz matrix as one of generalizations of a tridiagonal Toeplitz matrix. In the present paper, we provide a decomposition of the matrix under a certain condition.
Ohashi A., Sogabe T., Usuda T.S.
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Decompose Boolean Matrices with Correlation Clustering
Entropy, 2021 One of the tasks of data science is the decomposition of large matrices in order to understand their structures. A special case of this is when we decompose relations, i.e., logical matrices.
László Aszalós
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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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Low-Rank Based Image Analyses for Pathological MR Image Segmentation and Recovery
Frontiers in Neuroscience, 2019 The presence of pathologies in magnetic resonance (MR) brain images causes challenges in various image analysis areas, such as registration, atlas construction and atlas-based segmentation.
Chuanlu Lin +3 more
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Energies, 2021 The integration of renewable energy sources into modern power systems requires simulations with smaller step sizes, larger network models and the incorporation of complex nonlinear component models.
Jan Dinkelbach +4 more
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