Results 31 to 40 of about 607,065 (288)
A Semiblind PCA-based Foreground Subtraction Method for 21 cm Intensity Mapping
The Astrophysical Journal, 2023 The principal component analysis (PCA) method and the singular value decomposition (SVD) method are widely used for foreground subtraction in 21 cm intensity mapping experiments.
Shifan Zuo, Xuelei Chen, Yi Mao
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Data denial experiments for extratropical transition [PDF]
Tellus: Series A, Dynamic Meteorology and Oceanography, 2012 Data denial experiments using the European Centre for Medium-Range Weather Forecasts (ECMWF) model are designed to investigate the value of targeted observations for historical extratropical transition (ET) cases over the Atlantic. The impact of removing
Doris Anwender +2 more
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A construction of some ideals in affine vertex algebras
International Journal of Mathematics and Mathematical Sciences, 2003 We study ideals generated by singular vectors in vertex operator algebras associated with representations of affine Lie algebras of types A and C. We find new explicit formulas for singular vectors in these vertex operator algebras at integer and half ...
Draen AdamoviĆ
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Singular random matrix decompositions: distributions. [PDF]
, 2002 Assuming that Y has a singular matrix variate elliptically contoured distribution with respect to the Hausdorff measure, the distributions of several matrices associated to QR, modified QR, SV and Polar decompositions of matrix Y are determined, for ...
González Farías, Graciela +3 more
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Index of singularities of real vector fields on singular hypersurfaces [PDF]
Journal of Singularities, 2014 Gómez-Mont, Seade and Verjovsky introduced an index, now called GSV-index, generalizing the Poincaré-Hopf index to complex vector fields tangent to singular hypersurfaces. The GSV-index extends to the real case. This is a survey paper on the joint research with Gómez-Mont and Giraldo about calculating the GSV-index $\Ind_{V_\pm,0}(X)$ of a real vector ...
openaire +3 more sources
svt: Singular Value Thresholding in MATLAB
Journal of Statistical Software, 2017 Many statistical learning methods such as matrix completion, matrix regression, and multiple response regression estimate a matrix of parameters. The nuclear norm regularization is frequently employed to achieve shrinkage and low rank solutions.
Cai Li, Hua Zhou
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General characteristics of stratospheric singular vectors
Meteorologische Zeitschrift, 2007 Leading singular vectors (SVs) have been computed for a numerical weather prediction model that can resolve dynamical structures within the stratosphere and lower mesosphere.
Ronald M. Errico +3 more
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A Novel Block-based Watermarking Scheme Using the SVD Transform
Algorithms, 2009 In this paper, a block-based watermarking scheme based on the Singular Value Decomposition (SVD) is proposed. Our watermark, a pseudo-random Gaussian sequence, is embedded by modifying the angles formed by the right singular vectors of each block of the ...
Alessandro Basso +4 more
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Block Power Method for SVD Decomposition
Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2015 We present in this paper a new method to determine the k largest singular values and their corresponding singular vectors for real rectangular matrices A ∈ Rn×m.
Bentbib A. H., Kanber A.
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Highlighting Link Prediction in Bipartite Networks via Structural Perturbation
IEEE Access, 2018 Most of the link prediction algorithms for bipartite networks assume that the generation of link is based on a predefined prior assumption. However, for the real-world bipartite networks, the generation mechanism of link is still ambiguous due to their ...
Xue Chen +4 more
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