Results 11 to 20 of about 205,588 (289)
Convolution semigroups of states. [PDF]
, 2011 Convolution semigroups of states on a quantum group form the natural noncommutative analogue of convolution semigroups of probability measures on a locally compact group.
Lindsay, Martin, Skalski, Adam G.
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Quantum stochastic convolution cocycles III [PDF]
, 2012 The theory of quantum Levy processes on a compact quantum group, and more generally quantum stochastic convolution cocycles on a C*-bialgebra, is extended to locally compact quantum groups and multiplier C*-bialgebras.
Skalski, Adam G., Lindsay, J. Martin
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Node-Feature Convolution for Graph Convolutional Networks [PDF]
Pattern Recognition, 2022 Graph convolutional network (GCN) is an effective neural network model for graph representation learning. However, standard GCN suffers from three main limitations: (1) most real-world graphs have no regular connectivity and node degrees can range from one to hundreds or thousands, (2) neighboring nodes are aggregated with fixed weights, and (3) node ...
Zhang, L., Song, H., Aletras, N., Lu, H.
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Mathematical Structures in Computer Science, 2021 AbstractWe show how concurrent quantales and concurrent Kleene algebras arise as convolution algebras of functions from relational structures with two ternary relations that satisfy relational interchange laws into concurrent quantales or Kleene algebras, among others.
James Cranch +2 more
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Completely positive quantum stochastic convolution cocycles and their dilations. [PDF]
, 2007 Stochastic generators of completely positive and contractive quantum stochastic convolution cocycles on a C*-hyperbialgebra are characterised. The characterisation is used to obtain dilations and stochastic forms of Stinespring decomposition for ...
Skalski, Adam G., Adam G. Skalski
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Convolution in Convolution for Network in Network [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2018 A method of Convolutional Neural ...
Pang, Yanwei +4 more
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A convolution particle filtering approach for tracking elliptical extended objects [PDF]
, 2013 This paper proposes a convolution particle filtering approach for extended object tracking. Convolution particle filters (CPFs) are likelihood free filters. They are based on convolution kernel probability density representation.
Gning, Amadou +3 more
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Photonics, 2019 The gyrator transform (GT) is used for images processing in applications of light propagation. We propose new image processing operators based on the GT, these operators are: Generalized shift, convolution and correlation.
Ronal A. Perez +2 more
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Applied Sciences, 2023 Emotion recognition is a research area that spans multiple disciplines, including computational science, neuroscience, and cognitive psychology. The use of electroencephalogram (EEG) signals in emotion recognition is particularly promising due to their ...
Yuan Luo, Changbo Wu, Caiyun Lv
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