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Incremental algorithms for truncated higher-order singular value decompositions
BIT Numerical MathematicszbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chao Zeng +2 more
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An improved extreme learning algorithm based on truncated singular value decomposition
The 27th Chinese Control and Decision Conference (2015 CCDC), 2015With respect to the ill-posed problem when calculating output weights of the ELM (Extreme Learning Machine), an improved ELM algorithm based on TSVD (Truncated Singular Value Decomposition) is proposed in this paper. The degree of ill-condition is severe if the hidden layer output matrix has a large condition number.
Jianhui Wang +4 more
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TP Model Transformation Via Sequentially Truncated Higher‐Order Singular Value Decomposition
Asian Journal of Control, 2014AbstractThe sequentially truncated higher‐order singular value decomposition (ST‐HOSVD) is applied to a tensor product (TP) model transformation instead of the compact form of HOSVD (CHOSVD). The goal is to reduce computational cost in the transformation.
Pan, Junjun, Lu, Linzhang
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ECG signal compression using data extraction and truncated singular value decomposition
2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC), 2017In this paper a novel algorithm is used for compressing ECG data. The algorithm uses two techniques simultaneously to get a better compression of ECG data. Firstly Data extraction: a sampling technique based on a user defined threshold value is applied on ECG followed by Truncated Singular Value Decomposition.
Syed Salman Kabir +2 more
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Journal of Chemical Information and Computer Sciences, 1999
A rapid algorithm for visualizing large chemical databases in a low-dimensional space (2D or 3D) is presented as a first step in database analysis and design applications. The projection mapping of the compound database (described as vectors in the high-dimensional space of chemical descriptors) is based on the singular value decomposition (SVD ...
Dexuan Xie +2 more
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A rapid algorithm for visualizing large chemical databases in a low-dimensional space (2D or 3D) is presented as a first step in database analysis and design applications. The projection mapping of the compound database (described as vectors in the high-dimensional space of chemical descriptors) is based on the singular value decomposition (SVD ...
Dexuan Xie +2 more
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Velocity analysis by truncated singular value decomposition
SEG Technical Program Expanded Abstracts 1993, 1993Spagnolini, Umberto +2 more
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Aeromagnetic Compensation Using an Improved Truncated Singular Value Decomposition Method
2023 6th International Conference on Information Communication and Signal Processing (ICICSP), 2023Wenhua Song +3 more
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Hyperspectral Multispectral Image Fusion via Fast Matrix Truncated Singular Value Decomposition
Remote Sensing, 2023Hong Lin, Long Jian, Yuanxi Peng
exaly
International Journal of Machine Learning and Cybernetics, 2023
Baozhen Lee +3 more
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Baozhen Lee +3 more
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Application of truncated singular value decomposition to flight test data analysis
38th Aerospace Sciences Meeting and Exhibit, 2000A. Randall, T.-M. Lee, R. Danaher
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