Results 51 to 60 of about 1,988,912 (333)
Numerické hodnocení reologickéh o experimentu [PDF]
ACC Journal, 2012 Uvažujeme viskoelastické, prostě podepřené, rotačně symetrické těleso pevně spojené s podkla-dem. Těleso je zatěžováno plochou lisovací čelisti, která se pohybuje ve směru osy z konstantní rychlostí v.
Petr Salač, Ivo Matoušek
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Learning Picture Languages Using Dimensional Reduction
Inteligencia Artificial, 2023 One-dimensional (string) formal languages and their learning have been studied in considerable depth. However, the knowledge of their two-dimensional (picture) counterpart, which retains similar importance, is lacking.
David Kubon +2 more
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Dimensional Reduction and Hadronic Processes
, 2008 We consider the application of regularization by dimensional reduction to NLO corrections of hadronic processes. The general collinear singularity structure is discussed, the origin of the regularization-scheme dependence is identified and transition ...
Adrian Signer +3 more
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Dynamics of dimensional reduction
Physics Letters B, 1980 In d-dimensional unified theories that, along with gravity, contain an antisymmetric tensor field of rank s-1, preferential compactification of d-s or of s space-like dimensions is found to occur. This is the case in 11-dimensional supergravity where s = 4.
Mark A. Rubin, Peter G. O. Freund
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Mixing Autoencoder With Classifier: Conceptual Data Visualization
IEEE Access, 2020 In this paper, a neural network that is able to form a low-dimensional topological hidden representation is explained. The neural network can be trained as an autoencoder, as a classifier or as a mixture of both and produces a different low-dimensional ...
Pitoyo Hartono
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Shape-Informed Dimensional Reduction in Airfoil/Hydrofoil Modeling
Journal of Marine Science and Engineering, 2023 Parametric models have been widely used in pertinent literature for reconstructing, modifying and representing a wide range of airfoil and/or hydrofoil profile geometries.
Zahid Masood +3 more
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Limitations on quantum dimensionality reduction [PDF]
International Journal of Quantum Information, 2011 The Johnson–Lindenstrauss Lemma is a classic result which implies that any set of n real vectors can be compressed to O( log n) dimensions while only distorting pairwise Euclidean distances by a constant factor. Here we consider potential extensions of this result to the compression of quantum states. We show that, by contrast with the classical case,
Harrow, Aram W. +2 more
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Binary Codes Based on Non-Negative Matrix Factorization for Clustering and Retrieval
IEEE Access, 2020 Traditional non-negative matrix factorization methods cannot learn the subspace from the high-dimensional data space composed of binary codes. One hopes to discover a compact parts-based representation composed of binary codes, which can uncover the ...
Jiang Xiong +3 more
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Visualizing the quality of dimensionality reduction [PDF]
Neurocomputing, 2013 The growing number of dimensionality reduction methods available for data visualization has recently inspired the development of formal measures to evaluate the resulting low-dimensional representation independently from the methods' inherent criteria. Many evaluation measures can be summarized based on the co-ranking matrix.
Mokbel, Bassam +3 more
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Dimensional Reduction of Cobordism and K-theory
Journal of High Energy Physics, 2023 It has been proposed that cobordism and K-theory groups, which can be mathematically related in certain cases, are physically associated to generalised higher-form symmetries.
Ralph Blumenhagen +3 more
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