Results 51 to 60 of about 19,283,190 (228)
An MBO method for modularity optimisation based on total variation and signless total variation
European Journal of Applied MathematicsIn network science, one of the significant and challenging subjects is the detection of communities. Modularity [1] is a measure of community structure that compares connectivity in the network with the expected connectivity in a graph sampled from a ...
Zijun Li, Yves van Gennip, Volker John
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Weighted Group Sparsity-Constrained Tensor Factorization for Hyperspectral Unmixing
Remote Sensing, 2022 Recently, unmixing methods based on nonnegative tensor factorization have played an important role in the decomposition of hyperspectral mixed pixels.
Xinxi Feng, Le Han, Le Dong
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IEEE Access, 2020 Fast neutron computed tomography (FNCT) generally needs a longer measurement time because of low source strength and low detection efficiency. In order to reduce measurement time, methods of reducing single measurement time and the numbers of projection ...
Sangang Li +5 more
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Sign variation, the Grassmannian, and total positivity [PDF]
, 2015 The totally nonnegative Grassmannian is the set of k-dimensional subspaces V of R^n whose nonzero Pluecker coordinates all have the same sign. Gantmakher and Krein (1950) and Schoenberg and Whitney (1951) independently showed that V is totally ...
Karp, Steven N.
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, 2012 Publication in the conference proceedings of EUSIPCO, Bucharest, Romania ...
Ilker Bayram, Mustafa E. Kamasak
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Almost classical solutions to the total variation flow [PDF]
, 2011 The paper examines one-dimensional total variation flow equation with Dirichlet boundary conditions. Thanks to a new concept of "almost classical" solutions we are able to determine evolution of facets -- flat regions of solutions.
Kielak, Karolina +2 more
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The Total Variation Flow in RN
Journal of Differential Equations, 2002 In this paper, we study the minimizing total variation flow ut=div(Du/∣Du∣) in N for initial data u0 in Lloc1(N), proving an existence and uniqueness result. Then we characterize all bounded sets Ω of finite perimeter in 2 which evolve without distortion of the boundary.
BELLETTINI G +2 more
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Guided Image Filtering Reconstruction Based on Total Variation and Prior Image for Limited-Angle CT
IEEE Access, 2020 For limited-angle computed tomography (CT) image reconstruction, the classical total variation (TV) based algorithms suffer from the limited-angle artifacts, because TV only used the gradient information of the image.
Zhaoqiang Shen +3 more
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Total Variation Minimization in Compressed Sensing
, 2017 This chapter gives an overview over recovery guarantees for total variation minimization in compressed sensing for different measurement scenarios. In addition to summarizing the results in the area, we illustrate why an approach that is common for ...
Krahmer, Felix +2 more
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Simplified Energy Landscape for Modularity Using Total Variation [PDF]
, 2018 Networks capture pairwise interactions between entities and are frequently used in applications such as social networks, food networks, and protein interaction networks, to name a few.
Bae, Egil +3 more
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