Results 51 to 60 of about 610,310 (264)
Interference coordination for dense wireless networks [PDF]
IEEE Communications Magazine, 2015 The promise of ubiquitous and super-fast connectivity for the upcoming years will be in large part fulfilled by the addition of base stations and spectral aggregation. The resulting very dense networks (DenseNets) will face a number of technical challenges. Among others, the interference emerges as an old acquaintance with new significance. As a matter
Soret, Beatriz +3 more
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, 2017 The key idea of current deep learning methods for dense prediction is to apply a model on a regular patch centered on each pixel to make pixel-wise predictions. These methods are limited in the sense that the patches are determined by network architecture instead of learned from data.
Li, Jun +4 more
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Detecting modules in dense weighted networks with the Potts method
, 2008 We address the problem of multiresolution module detection in dense weighted networks, where the modular structure is encoded in the weights rather than topology.
Arenas A +14 more
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Dense Module Enumeration in Biological Networks
Journal of Physics: Conference Series, 2009 Automatic discovery of functional complexes from protein interaction data is a rewarding but challenging problem. While previous approaches use approximations to extract dense modules, our approach exactly solves the problem of dense module enumeration.
Tsuda, K., Georgii, E.
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Dense power-law networks and simplicial complexes [PDF]
Physical Review E, 2018 There is increasing evidence that dense networks occur in on-line social networks, recommendation networks and in the brain. In addition to being dense, these networks are often also scale-free, i.e. their degree distributions follow $P(k)\propto k^{- }$ with $ \in(1,2]$.
Courtney, OT, Bianconi, G
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Dense Convolutional Networks for Semantic Segmentation
IEEE Access, 2019 Recent studies have greatly promoted the development of semantic segmentation. Most state-of-the-art methods adopt fully convolutional networks (FCNs) to accomplish this task, in which the fully connected layer is replaced with the convolution layer for ...
Chaoyi Han +3 more
doaj +1 more source
Market integration reduces kin density in women’s ego-networks in rural Poland
Nature Communications, 2020 Market integration may loosen the dense kinship networks maintaining high fertility among agriculturalists, but data are lacking. Here, Colleran shows that in 22 rural Polish communities, women’s ego networks are less kin-oriented, but not less dense, as
Heidi Colleran
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Link Prediction via Matrix Completion
, 2016 Inspired by practical importance of social networks, economic networks, biological networks and so on, studies on large and complex networks have attracted a surge of attentions in the recent years.
Cheng, Hong +4 more
core +1 more source
Connectivity in Dense Networks Confined within Right Prisms [PDF]
, 2014 We consider the probability that a dense wireless network confined within a given convex geometry is fully connected. We exploit a recently reported theory to develop a systematic methodology for analytically characterizing the connectivity probability ...
Coon, Justin P. +2 more
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Borderless Mobility in 5G Outdoor Ultra-Dense Networks
IEEE Access, 2015 This paper considers borderless 5G ultra-dense networks (UDNs). In particular, a novel scheduling algorithm is proposed that achieves a more uniform distribution of user-throughput than that of the state-of-the-art maximum-throughput (MT) schedulers. The
Petteri Kela, Jussi Turkka, Mario Costa
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