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Incremental algorithms for truncated higher-order singular value decompositions

BIT Numerical Mathematics
zbMATH 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), 2015
With 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, 2014
AbstractThe 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), 2017
In 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
openaire   +1 more source

An Efficient Projection Protocol for Chemical Databases:  Singular Value Decomposition Combined with Truncated-Newton Minimization

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
openaire   +2 more sources

Velocity analysis by truncated singular value decomposition

SEG Technical Program Expanded Abstracts 1993, 1993
Spagnolini, Umberto   +2 more
openaire   +1 more source

Aeromagnetic Compensation Using an Improved Truncated Singular Value Decomposition Method

2023 6th International Conference on Information Communication and Signal Processing (ICICSP), 2023
Wenhua Song   +3 more
openaire   +1 more source

Enhanced Multi-View Anomaly Detection on Attribute Networks by Truncated Singular Value Decomposition

International Journal of Machine Learning and Cybernetics, 2023
Baozhen Lee   +3 more
openaire   +1 more source

Application of truncated singular value decomposition to flight test data analysis

38th Aerospace Sciences Meeting and Exhibit, 2000
A. Randall, T.-M. Lee, R. Danaher
openaire   +1 more source

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