Results 11 to 20 of about 1,406,601 (220)
Canonical Decompositions of Completely Nonunitary Contractions
Journal of Mathematical Analysis and Applications, 1984 The author discusses with an application the isometric part and the coisometric part of a completely nonunitary contraction on a Hilbert space. [Probably, researchers who wish to know more general decomposition theorems should refer to \textit{W. Szymański}, Stud. Math. 50, 265-280 (1974; Zbl 0264.47036), \textit{M. Fujii}, \textit{Y. Kato}, Math. Jap.,
N. Levan
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Canonical tree-decompositions of finite graphs I. Existence and algorithms [PDF]
J. Comb. Theory B, 2013 We construct tree-decompositions of graphs that distinguish all their k-blocks and tangles of order k, for any fixed integer k. We describe a family of algorithms to construct such decompositions, seeking to maximize their diversity subject to the ...
Johannes Carmesin +3 more
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Canonical Decompositions of Certain Generalized Brownian Bridges [PDF]
Electronic Communications in Probability, 2002 We define a generalized Brownian bridge and we provide some information about its filtration. Two decompositions of this process as a semi-martingale are given.
L. Alili
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Belief functions contextual discounting and canonical decompositions
International Journal of Approximate Reasoning, 2012 In this article, the contextual discounting of a belief function, a classical discounting generalization, is extended and its particular link with the canonical disjunctive decomposition is highlighted. A general family of correction mechanisms allowing one to weaken the information provided by a source is then introduced, as well as the dual of this ...
D. Mercier, E. Lefevre, F. Delmotte
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Brain-Apparatus CommunicationBackground Back-projection has been used to correct the variance and polarity indeterminacies for the independent component analysis. The variance and polarity of the components are essential features of neuroscience studies.Objective This work extends ...
Yuxing Hao +4 more
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Note on the canonical decomposition of contraction [PDF]
Tohoku Mathematical Journal, 1964 Teishirô Saitô, Takashi Yoshino
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Canonical decompositions in monadically stable and bounded shrubdepth graph classes [PDF]
International Colloquium on Automata, Languages and Programming, 2023 We use model-theoretic tools originating from stability theory to derive a result we call the Finitary Substitute Lemma, which intuitively says the following.
Pierre Ohlmann +3 more
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Semistable torsion classes and canonical decompositions in Grothendieck groups [PDF]
Proceedings of the London Mathematical Society, 2021 We study two classes of torsion classes that generalize functorially finite torsion classes, that is, semistable torsion classes and morphism torsion classes.
Sotaro Asai, O. Iyama
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Generalized Canonical Polyadic Tensor Decomposition [PDF]
SIAM Review, 2020 Tensor decomposition is a fundamental unsupervised machine learning method in data science, with applications including network analysis and sensor data processing. This work develops a generalized canonical polyadic (GCP) low-rank tensor decomposition that allows other loss functions besides squared error.
Hong, David +2 more
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Cross Tensor Approximation Methods for Compression and Dimensionality Reduction
IEEE Access, 2021 Cross Tensor Approximation (CTA) is a generalization of Cross/skeleton matrix and CUR Matrix Approximation (CMA) and is a suitable tool for fast low-rank tensor approximation.
Salman Ahmadi-Asl +6 more
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