Results 91 to 100 of about 71,044 (233)
Componentwise Perturbation Analysis of the Singular Value Decomposition of a Matrix
Applied SciencesA rigorous perturbation analysis is presented for the singular value decomposition (SVD) of a real matrix with full column rank. It is proved that the SVD perturbation problem is well posed only when the singular values are distinct.
Vera Angelova, Petko Petkov
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Data Science Journal, 2011 Privacy protection is indispensable in data mining, and many privacy-preserving data mining (PPDM) methods have been proposed. One such method is based on singular value decomposition (SVD), which uses SVD to find unimportant information for data mining ...
Guang Li, Yadong Wang
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Constraint elimination in dynamical systems [PDF]
Large space structures (LSSs) and other dynamical systems of current interest are often extremely complex assemblies of rigid and flexible bodies subjected to kinematical constraints.
Likins, P. W., Singh, R. P.
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Enhancing generalized spectral clustering with embedding Laplacian graph regularization
CAAI Transactions on Intelligence Technology, EarlyView.Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang +5 more
wiley +1 more source
HPoolGCL: Augmentation‐Free Cross‐Granularity Graph Contrastive Learning With Hierarchical Pooling
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Graph contrastive learning (GCL) has emerged as a dominant paradigm for self‐supervised representation learning for attributed graph data. However, existing GCL methods heavily rely on empirical graph data augmentation, which may distort intrinsic graph semantics and produce poor generalisation without carefully chosen or designed augmentation
Fenglin Cen +4 more
wiley +1 more source
Channel estimation method based on singular value decomposition in 3D MIMO-OFDM system
上海师范大学学报. 自然科学版, 2019 The model of 3D multiple input multiple output and orthogonal frequency division multiplexing(MIMO-OFDM) system was introduced,and the channel estimation scheme based on pilot was analyzed.In view of the problem of high complexity of the linear least ...
SHAO Weilu, LI Li, LIU Zhen, TANG Yanzhi
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High Voltage, EarlyView.ABSTRACT A reduced‐order model (ROM) for the temperature field based on time‐space proper orthogonal decomposition (POD) is presented to improve the computational efficiency of transient temperature rise in oil‐immersed power transformers with a complete oil natural convection cooling loop.
Haijuan Lan +5 more
wiley +1 more source
Makara Seri Sains, 2010 Evaluation of Singular Value Decomposition based Digital Image Watermarking with Dither Quantization andEdge Detection. The use of singular value decomposition (SVD) in watermarking area has been developed by manyresearchers.
T. Basaruddin, Rahmatri Mardiko
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High Voltage, EarlyView.ABSTRACT Structural mechanics field simulation plays a critical role in the vibration characteristic analysis of electrical equipment. Existing structural field analysis of equipment based on numerical simulation faces challenges such as convergence difficulties and prolonged computational time, failing to meet the demand for real‐time prediction of ...
Wanqing Wang +6 more
wiley +1 more source
Regression-aware decompositions
, 2018 Linear least-squares regression with a "design" matrix A approximates a given matrix B via minimization of the spectral- or Frobenius-norm discrepancy ||AX-B|| over every conformingly sized matrix X.
Tygert, Mark
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