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Singular value decomposition-based gait characterization [PDF]
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]
This 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]
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]
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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Variational Quantum Singular Value Decomposition [PDF]
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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Singular Value Decomposition Quantum Algorithm for Quantum Biology [PDF]
Emily K. Oh +3 more
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Singular 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
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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Singular Value Decomposition of Spatial Matrices
Singular value decomposition is a basic building block which is used in solution of many different problems. In cases when dimensionality of a problem exceeds two, a generalization of a singular value decomposition – tensor decompositions – are used ...
Pavel Iljin, Tatiana Samoilova
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Watermark Based on Singular Value Decomposition
Watermarking operation can be defined as a process of embedding special wanted and reversible information in important secure files to protect the ownership or information of the wanted cover file based on the proposed singular value decomposition (SVD)
Ali Abdulazeez Mohammed Baqer Qazzaz +1 more
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