Results 251 to 260 of about 91,180 (283)

Truncated singular value decomposition for semantic-based data retrieval

2013 Third International Conference on Communications and Information Technology (ICCIT), 2013
This paper addresses the increasingly encountered challenge of knowledge indexation. In the past decade, research on numerical schemes on knowledge indexation has been quite intensive. Vector space model is only based on the information contained in term weighting and does therefore not process the semantic contained in the sequence in which the words ...
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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, Xiao Wang, Shusheng Gu, Wang Liao, Xiaoke Fang   +4 more
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A Trust-Region Method for Solving Truncated Complex Singular Value Decomposition

Journal of Computational Mathematics
The truncated singular value decomposition has been widely used in many areas of science including engineering, and statistics, etc. In this paper, the original truncated complex singular value decomposition problem is formulated as a Riemannian optimization problem on a product of two complex Stiefel manifolds, a practical algorithm based on the ...
Li, Jiaofen, Kong, Lingchang, Duan, Xuefeng, Zhou, Xuelin, Luo, Qilun   +4 more
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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, Mamshad Nayeem Rizve, Md. Kamrul Hasan   +2 more
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Neutron Spectrum Unfolding Using a Modified Truncated Singular Value Decomposition Method

Nuclear Science and Engineering, 1999
A modified truncated singular value decomposition (MTSVD) is employed to unfold proton recoil pulse-height spectra into neutron energy spectra, using experimentally measured response functions. To illustrate the method, spectra from [sup 252]Cf and [sup 239]PuBe sources are unfolded.
D. Stuenkel, James Paul Holloway, G. F. Knoll   +2 more
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Singular value decomposition for the truncated Hilbert transform: part II

Inverse Problems, 2011
Hilbert transform is a very important tool in computed tomography. Image reconstruction from truncated tomographic data can be reduced to the problem of inverting the Hilbert transform knowing ψ on the interval [a2, a3], where a1 < a2 < a3 < a4. In this paper, we obtain a singular value decomposition for the operator .
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Fast Hartley transform and truncated singular value algorithm for circular deconvolution

Optical Engineering, 1997
The fast Hartley transform (FHT) algorithm for solving wellconditioned circular deconvolution is suggested. The arithmetic operations save about half compared to the fast Fourier transform (FFT) deconvolution algorithm. The Moore-Penrose generalized inverse of the circulant matrix connection to FHT matrices is investigated, then the least-squares ...
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A modified truncated singular value decomposition method for discrete ill-posed problems.

2014
Summary: Truncated singular value decomposition is a popular method for solving linear discrete ill-posed problems with a small to moderately sized matrix \(A\). Regularization is achieved by replacing the matrix \(A\) by its best rank-\(k\) approximant, which we denote by \(A_k\).
NOSCHESE, Silvia, Lothar Reichel
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Velocity analysis by truncated singular value decomposition

SEG Technical Program Expanded Abstracts 1993, 1993
Spagnolini, Umberto, Macciotta, L., Manni, A.   +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), 2023
Wenhua Song, Zhicheng Yang, Bin Li, Yan Ma   +3 more
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