Results 11 to 20 of about 6,407,802 (243)

Singular-Value-Decomposition-Based Matrix Surgery [PDF]

Entropy
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
doaj   +2 more sources

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
doaj   +2 more sources

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, Hongxin Zhang, Xing Fang, Xiaotong Cui, Wenxu Ning, Danzhi Wang, Fan Fan, Lei Shu   +7 more
doaj   +2 more sources

N-Dimensional Principal Component Analysis [PDF]

, 2010
In this paper, we first briefly introduce the multidimensional Principal Component Analysis (PCA) techniques, and then amend our previous N-dimensional PCA (ND-PCA) scheme by introducing multidirectional decomposition into ND-PCA implementation.
Yu, Hongchuan
core   +9 more sources

Singular Value Decomposition Quantum Algorithm for Quantum Biology [PDF]

ACS Physical Chemistry Au
Emily K. Oh, Timothy J. Krogmeier, Anthony W. Schlimgen, Kade Head-Marsden   +3 more
doaj   +2 more sources

The General Linear Model and the Generalized Singular Value Decomposition [PDF]

, 2009
The general linear model with correlated error variables can be transformed by means of the generalized singular value decomposition to a very simple model (canonical form) where the least squares solution is obvious.
Knüsel, Leo
core   +1 more source

Anchor Fault Identification Method for High-Voltage DC Submarine Cable Based on VMD-Volterra-SVM

Energies, 2023
This article introduces a new method for identifying anchor damage faults in fiber composite submarine cables. The method combines the Volterra model of Variation Mode Decomposition (VMD) with singular value entropy to improve the accuracy of fault ...
Wenwei Zhu, Chenyang Fan, Chenghao Xu, Hantuo Dong, Jingen Guo, Aiwu Liang, Long Zhao   +6 more
doaj   +1 more source

The General Linear Model and the Generalized Singular Value Decomposition; Some Examples [PDF]

, 2009
The general linear model with correlated error variables can be transformed by means of the generalized singular value decomposition to a very simple model (canonical form) where the least squares solution is obvious.
Knüsel, Leo
core   +1 more source

Toward efficacy of piecewise polynomial truncated singular value decomposition algorithm in moving force identification [PDF]

, 2019
This paper introduces and evaluates the piecewise polynomial truncated singular value decomposition (PP-TSVD) algorithm toward an effective use for moving force identification (MFI).
Zhao, Shunbo, Chen, Zhen, Nguyen, Andy, Qin, Lifeng, Chan, Tommy H. T.   +4 more
core   +1 more source

A new -means singular value decomposition method based on self-adaptive matching pursuit and its application in fault diagnosis of rolling bearing weak fault

International Journal of Distributed Sensor Networks, 2020
Sparse decomposition has excellent adaptability and high flexibility in describing arbitrary complex signals based on redundant and over-complete dictionary, thus having the advantage of being free from the limitations of traditional signal processing ...
Hongchao Wang, Wenliao Du
doaj   +1 more source