Singular value decomposition-based gait characterization [PDF]
Heliyon, 2022 Background: Human gait varies based on personal characteristics, the existence of walking problems, or variability of gait parameters. Identifying the sources of variations is significant in detecting walking problems, designing orthotic/prosthetic ...
Cem Guzelbulut +2 more
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Singular-Value-Decomposition-Based Matrix Surgery [PDF]
EntropyThis paper is motivated by the need to stabilise the impact of deep learning (DL) training for medical image analysis on the conditioning of convolution filters in relation to model overfitting and robustness.
Jehan Ghafuri, Sabah Jassim
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Differential privacy protection algorithm for network sensitive information based on singular value decomposition [PDF]
Scientific Reports, 2023 In order to reduce the risk of data privacy disclosure and improve the effect of information privacy protection, a differential privacy protection algorithm for network sensitive information based on singular value decomposition is proposed.
Xuan Ma, Xing Chang, Hongxiu Chen
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Hybrid Threshold Denoising Framework Using Singular Value Decomposition for Side-Channel Analysis Preprocessing [PDF]
Entropy, 2023 The traces used in side-channel analysis are essential to breaking the key of encryption and the signal quality greatly affects the correct rate of key guessing.
Yuanzhen Wang +7 more
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Singular Value Decomposition (SVD) Method for LiDAR and Camera Sensor Fusion and Pattern Matching Algorithm. [PDF]
Sensors (Basel)Tian K +5 more
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Variational Quantum Singular Value Decomposition [PDF]
Quantum, 2021 Singular value decomposition is central to many problems in engineering and scientific fields. Several quantum algorithms have been proposed to determine the singular values and their associated singular vectors of a given matrix.
Xin Wang, Zhixin Song, Youle Wang
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Polygenic risk prediction based on singular value decomposition with applications to alcohol use disorder. [PDF]
BMC Bioinformatics, 2022 Yang JJ, Luo X, Trucco EM, Buu A.
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Singular Value Decomposition Quantum Algorithm for Quantum Biology [PDF]
ACS Physical Chemistry AuEmily K. Oh +3 more
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Theoretical and Natural ScienceSingular Value Decomposition (SVD) is a very important matrix factorization technique in linear algebra which generalizes the eigenvalue decomposition to both non square and non symmetric matrices. This report explains the theoretical foundation of SVD by numerical examples and the comparison of SVD with eigenvalue decomposition on the basis of ...
J. Douglas Walker, Noah M. McLean
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Privacy-Preserving Federated Singular Value Decomposition
Applied Sciences, 2023 Singular value decomposition (SVD) is a fundamental technique widely used in various applications, such as recommendation systems and principal component analyses.
Bowen Liu, Balázs Pejó, Qiang Tang
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