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Estimating Volumes of Near-Spherical Molded Artifacts. [PDF]
J Res Natl Inst Stand Technol, 2010 Gilsinn DE, Borchardt BR, Tebbe A.
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Physics, Astrophysics and Cosmology with Gravitational Waves. [PDF]
Living Rev Relativ, 2009 Sathyaprakash BS, Schutz BF.
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29th Annual Computational Neuroscience Meeting: CNS*2020. [PDF]
BMC Neurosci, 2020 europepmc +1 more source
Segmental intelligibility of synthetic speech produced by rule. [PDF]
J Acoust Soc Am, 1989 Logan JS, Greene BG, Pisoni DB.
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The use of matrix methods in the modeling of spectroscopic data sets. [PDF]
Biophys J, 1997 Henry ER.
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On Best Low Rank Approximation of Positive Definite Tensors
SIAM Journal on Matrix Analysis and Applications, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Eric Evert, Lieven De Lathauwer
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2020 IEEE International Conference on Multimedia and Expo (ICME), 2020
As an effective descriptor, Symmetric Positive Definite (SPD) matrix is widely used in several areas such as image clustering. Recently, researchers proposed some effective methods based on low rank theory for SPD data clustering with nonlinear metric.
Xinglin Piao +7 more
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As an effective descriptor, Symmetric Positive Definite (SPD) matrix is widely used in several areas such as image clustering. Recently, researchers proposed some effective methods based on low rank theory for SPD data clustering with nonlinear metric.
Xinglin Piao +7 more
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Positive Semidefinite Hankel Structured Low Rank Approximation using Vandermonde Decomposition
2019 Fifth Indian Control Conference (ICC), 2019In this paper, we propose a decomposition based method for solving the positive semidefinite Hankel structured low rank approximation (PHSLRA) of a given matrix. This problem is formulated as an unconstrained optimization problem using the Vandermonde decomposition of the positive semidefinite Hankel matrix.
Suman Rakshit, Swanand R. Khare
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Magnetism of Tsai-Type Quasicrystal Approximants
Materials Transactions, 2021Ryuji Tamura +2 more
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