Results 31 to 40 of about 5,123,051 (393)
Convolutional Random Walk Networks for Semantic Image Segmentation [PDF]
Computer Vision and Pattern Recognition, 2016 Most current semantic segmentation methods rely on fully convolutional networks (FCNs). However, their use of large receptive fields and many pooling layers cause low spatial resolution inside the deep layers.
Gedas Bertasius +3 more
semanticscholar +1 more source
Journal of Applied Probability, 2014 This paper provides tools for the study of the Dirichlet random walk in Rd. We compute explicitly, for a number of cases, the distribution of the random variable W using a form of Stieltjes transform of W instead of the Laplace transform, replacing the Bessel functions with hypergeometric functions. This enables us to simplify some existing results, in
G. Letac, PICCIONI, MAURO
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A martingale approach for the elephant random walk [PDF]
, 2017 The purpose of this paper is to establish, via a martingale approach, some refinements on the asymptotic behavior of the one-dimensional elephant random walk (ERW).
B. Bercu
semanticscholar +1 more source
The Spacey Random Walk: A Stochastic Process for Higher-Order Data [PDF]
SIAM Review, 2016 Random walks are a fundamental model in applied mathematics and are a common example of a Markov chain. The limiting stationary distribution of the Markov chain represents the fraction of the time spent in each state during the stochastic process.
Austin R. Benson +2 more
semanticscholar +1 more source
Matrix moments of the diffusion tensor distribution and matrix-variate Gamma approximation
Journal of Magnetic Resonance Open, 2021 Diffusion MRI allows for the non-invasive investigation of the microscopic architecture of biological tissues in vivo. While being sensitive to microstructural tissue changes, diffusion MRI yields poor specificity regarding the cause of these changes ...
Alexis Reymbaut
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Drug repositioning based on comprehensive similarity measures and Bi-Random walk algorithm
Bioinform., 2016 MOTIVATION Drug repositioning, which aims to identify new indications for existing drugs, offers a promising alternative to reduce the total time and cost of traditional drug development.
Huimin Luo +6 more
semanticscholar +1 more source
RAM. Revista de Administração Mackenzie, 2021 Purpose: This research examines the superiority of analysts over random walk models in forecasting the results of publicly-traded Brazilian companies in the short and long term. Originality/value: The literature indicates the uncontested superiority
Rafael C. Gatsios +3 more
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Efficient, multiple-range random walk algorithm to calculate the density of states. [PDF]
Physical Review Letters, 2000 We present a new Monte Carlo algorithm that produces results of high accuracy with reduced simulational effort. Independent random walks are performed (concurrently or serially) in different, restricted ranges of energy, and the resultant density of ...
Fugao Wang, D. Landau
semanticscholar +1 more source
Random walk on barely supercritical branching random walk [PDF]
Probability Theory and Related Fields, 2019 Let $\mathcal{T}$ be a supercritical Galton-Watson tree with a bounded offspring distribution that has mean $ >1$, conditioned to survive. Let $ _{\mathcal{T}}$ be a random embedding of $\mathcal{T}$ into $\mathbb{Z}^d$ according to a simple random walk step distribution.
Remco van der Hofstad +2 more
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Local Random Walk Based Label Propagation Algorithm [PDF]
Jisuanji kexue, 2022 Community structure is one of the important characteristics of complex networks.Identifying communities of different functions in a network plays an important role for revealing important characteristics of complex networks.The community discovery ...
LIU Yang, ZHENG Wen-ping, ZHANG Chuan, WANG Wen-jian
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