Results 211 to 220 of about 1,101,519 (253)
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LatLRR for subspace clustering via reweighted Frobenius norm minimization
Expert Systems With Applications, 2023Zhuo Liu, Zhi Wang, Jianping Gou
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Robust Tensor Completion via Capped Frobenius Norm
IEEE Transactions on Neural Networks and Learning Systems, 2023Tensor completion (TC) refers to restoring the missing entries in a given tensor by making use of the low-rank structure. Most existing algorithms have excellent performance in Gaussian noise or impulsive noise scenarios.
Xiao Peng Li +4 more
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2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), 2020
PCA is a classical feature extraction method. But PCA usually loses the structure information of the image. As the tensor version of PCA, 2DPCA could save the structure information and could be fast calculated.
Wei Wang, Wencong Ruan, Qiang Wang
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PCA is a classical feature extraction method. But PCA usually loses the structure information of the image. As the tensor version of PCA, 2DPCA could save the structure information and could be fast calculated.
Wei Wang, Wencong Ruan, Qiang Wang
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Perturbation Bounds of Core Inverse Under the Frobenius Norm
Bulletin of the Malaysian Mathematical Sciences Society, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yuefeng Gao
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Some Natures on Matrix Frobenius Norm
2010 Third International Conference on Information and Computing, 2010In this paper, some natures of Frobenius norm are obtained by using majorization, which can be used in numerical mathematics and matrix perturbation analysis.
Yang XingDong, Ding ZhiYing
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The Extremum of the Frobenius Norm of Matrix
2011 Fourth International Joint Conference on Computational Sciences and Optimization, 2011For two given matrices A and B, the extremum of the Frobenius norm of matrix B-XA is established when X is running all over the unitary matrices. By using the technique of singular value decomposition, the extremum of the Frobenius norm matrix is studied. The result shows that the matrix B-XA has extremum when X is running all over the unitary matrices
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Minimum Weighted Frobenius Norm Discrete-Time FIR Filter With Embedded Unbiasedness
IEEE Transactions on Circuits and Systems II: Express Briefs, 2018In this brief, we propose a new receding horizon finite impulse response (FIR) filter that minimizes the weighted Frobenius norm with embedded unbiasedness in discrete-time state-space.
Sung Hyun You +2 more
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A direct method to Frobenius norm-based matrix regression
International Journal of Computer Mathematics, 2019Regression analysis has been widely used for face recognition. This paper mainly discuss the following regularized matrix regression problem: Given a set of k image matrices and an image matrix find such that where are also a set of representation ...
Shifang Yuan +3 more
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SAR Image Speckle Reduction Based on Nuclear Norm Minus Frobenius Norm Regularization
IEEE Transactions on Geoscience and Remote SensingSynthetic aperture radar (SAR) is a powerful imaging system with all-day and all-weather capabilities, making it suitable for a wide range of applications.
Fu Bo, Xiaole Ma, Yigang Cen, Shaohai Hu
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The Bounds for Spectral Norm and Frobenius Norm Condition Number of a Simple Matrix
2011 Fourth International Conference on Information and Computing, 2011In this paper, we give the estimations both of spectral and Frobenius norm condition number of a simple matrix. The estimations can be used to measure the sensitivity of the solution of linear systems.
Jiajing Zhang
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