Results 11 to 20 of about 163,100 (319)

Convolution and concurrency

open access: yesMathematical 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
openaire   +3 more sources

Node-Feature Convolution for Graph Convolutional Networks [PDF]

open access: yesPattern 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.
openaire   +2 more sources

Dynamic Convolution: Attention Over Convolution Kernels [PDF]

open access: yes2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
CVPR 2020 (Oral)
Yinpeng Chen   +5 more
openaire   +2 more sources

Convolution in Convolution for Network in Network [PDF]

open access: yesIEEE Transactions on Neural Networks and Learning Systems, 2018
A method of Convolutional Neural ...
Pang, Yanwei   +4 more
openaire   +4 more sources

Grid Graph Reduction for Efficient Shortest Pathfinding

open access: yesIEEE Access, 2023
Single-pair shortest pathfinding (SP) algorithms are used to identify the path with the minimum cost between two vertices in a given graph. However, their time complexity can rapidly increase as the graph size grows.
Chan-Young Kim, Sanghoon Sull
doaj   +1 more source

Counterpoint By Convolution. [PDF]

open access: yesCoRR, 2017
Proceedings of the 18th International Society for Music Information Retrieval Conference, ISMIR ...
Cheng-Zhi Anna Huang   +4 more
openaire   +3 more sources

Generalized Quantum Convolution for Multidimensional Data

open access: yesEntropy, 2023
The convolution operation plays a vital role in a wide range of critical algorithms across various domains, such as digital image processing, convolutional neural networks, and quantum machine learning.
Mingyoung Jeng   +8 more
doaj   +1 more source

Convolutional Codes

open access: yesCoRR, 2020
published
Lieb, Julia   +2 more
openaire   +3 more sources

Quantum stochastic convolution cocycles III [PDF]

open access: yes, 2011
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.   +3 more
core   +1 more source

Convolutions, integral transforms and integral equations by means of the theory of reproducing kernels [PDF]

open access: yesOpuscula Mathematica, 2012
This paper introduces a general concept of convolutions by means of the theory of reproducing kernels which turns out to be useful for several concrete examples and applications.
Luis P. Castro   +2 more
doaj   +1 more source

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