Results 11 to 20 of about 6,845,283 (379)
DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation [PDF]
Computer Vision and Pattern Recognition, 2021 Recently, neural architecture search (NAS) has been applied to automatically search high-performance networks for medical image segmentation. The NAS search space usually contains a network topology level (controlling connections among cells with ...
Yufan He +4 more
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Measuring the effect of distance on the network topology of the Global Container Shipping Network
Scientific Reports, 2021 This paper examines how spatial distance affects network topology on empirical data concerning the Global Container Shipping Network (GCSN). The GCSN decomposes into 32 multiplex layers, defined at several spatial levels, by successively removing ...
D. Tsiotas, C. Ducruet
semanticscholar +1 more source
Network Topology and Communication-Computation Tradeoffs in Decentralized Optimization [PDF]
Proceedings of the IEEE, 2017 In decentralized optimization, nodes cooperate to minimize an overall objective function that is the sum (or average) of per-node private objective functions. Algorithms interleave local computations with communication among all or a subset of the nodes.
A. Nedić +2 more
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Topology of music recommendation networks [PDF]
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2006 We study the topology of several music recommendation networks, which arise from relationships between artist, co-occurrence of songs in play lists or experts’ recommendation. The analysis uncovers the emergence of complex network phenomena in these kinds of recommendation networks, built considering artists as nodes and their resemblance as links.
Òscar Celma +3 more
openaire +6 more sources
Topological properties of hierarchical networks [PDF]
Physical Review E, 2015 Hierarchical networks are attracting a renewal interest for modelling the organization of a number of biological systems and for tackling the complexity of statistical mechanical models beyond mean-field limitations. Here we consider the Dyson hierarchical construction for ferromagnets, neural networks and spin-glasses, recently analyzed from a ...
Andrea Galluzzi +6 more
openaire +8 more sources
Combining network topology and information theory to construct representative brain networks
Network Neuroscience, 2020 Network neuroscience employs graph theory to investigate the human brain as a complex network, and derive generalizable insights about the brain’s network properties.
A. Luppi, E. Stamatakis
semanticscholar +1 more source
Turing patterns mediated by network topology in homogeneous active systems. [PDF]
Physical Review E, 2019 Mechanisms of pattern formation-of which the Turing instability is an archetype-constitute an important class of dynamical processes occurring in biological, ecological, and chemical systems.
Sayat Mimar +4 more
semanticscholar +1 more source
Noise-Induced Network Topologies
Physical Review Letters, 2023 We analyze transport on a graph with multiple constraints and where the weight of the edges connecting the nodes is a dynamical variable. The network dynamics results from the interplay between a nonlinear function of the flow, dissipation, and Gaussian, additive noise.
Frederic Folz +2 more
openaire +3 more sources
State-Space Network Topology Identification From Partial Observations [PDF]
IEEE Transactions on Signal and Information Processing over Networks, 2019 In this article, we explore the state-space formulation of a network process to recover from partial observations the network topology that drives its dynamics.
M. Coutiño +3 more
semanticscholar +1 more source
Network Topology Inference Based on Subset Structure Fusion
IEEE Access, 2020 Network topology measurement is an important component in network research. Network tomography is able to accurately infer network topology by using end-to-end measurement without cooperation of internal routers.
Jian Ye +3 more
doaj +1 more source