Výsledky vyhľadávania - and Gradient Diffusion Algorithm

NPD-SG: A Noise-Resistant Primal-Dual Stochastic Gradient Diffusion Algorithm Over Networks Autor Wu, Jiacheng, Zhou, Zhengchun, Zhang, Sheng, Han, Hongyu

“…In this paper, we develop a noise-resistant primal-dual stochastic gradient-based diffusion algorithm (named NPD-SG…”
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Multifactorial Evolutionary Algorithm Based on Diffusion Gradient Descent Autor Liu, Zhaobo, Li, Guo, Zhang, Haili, Liang, Zhengping, Zhu, Zexuan

“… To fill this gap, we propose a new MFEA based on diffusion gradient descent (DGD), namely, MFEA-DGD in this article…”
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Convergence behavior of diffusion stochastic gradient descent algorithm Autor Barani, Fatemeh, Savadi, Abdorreza, Yazdi, Hadi Sadoghi

“…•Solving distributed learning problems by applying diffusion strategies.•Presenting a distributed algorithm based on diffusion strategies of the SGD type to manage large-scale problems and avoid data aggregation in a central workstation…”
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Self-regularized nonlinear diffusion algorithm based on levenberg gradient descent Autor Lu, Lu, Zheng, Zongsheng, Champagne, Benoit, Yang, Xiaomin, Wu, Wei

“… The contribution is threefold: First, a so-called power diffusion algorithm is proposed that adopts integer powers of the input as regressors, as a means to improve identification accuracy with low computational complexity…”
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The Diffusion Entropy Stochastic Gradient Descent Algorithm With Quasi-Optimal Combiners: Formulation and Analysis Autor Xia, Wei, Xia, Guoqing, Chen, Junbin

“…We consider herein the diffusion entropy stochastic gradient descent (DE-SGD) algorithm for non-circular complex-valued signals…”
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Approximate solutions of the 2D space-time fractional diffusion equation via a gradient-descent iterative algorithm with Grünwald-Letnikov approximation Autor Adisorn Kittisopaporn, Pattrawut Chansangiam

“… Then we linearize the discretized equations into a sparse linear system. To solve such linear system, we propose a gradient-descent iterative algorithm with a sequence of optimal convergence factor aiming to minimize the error occurring at each iteration…”
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Approximate solutions of the $ 2 $D space-time fractional diffusion equation via a gradient-descent iterative algorithm with Grünwald-Letnikov approximation Autor Kittisopaporn, Adisorn, Chansangiam, Pattrawut

“… Then we linearize the discretized equations into a sparse linear system. To solve such linear system, we propose a gradient-descent iterative algorithm with a sequence of optimal convergence factor aiming to minimize the error occurring at each iteration…”
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A diffusion-map-based algorithm for gradient computation on manifolds and applications Autor Gomez, Alvaro Almeida, Silva Neto, Antonio J., Zubelli, Jorge P.

“… Analytical convergence results of the Riemannian gradient expansion are proved. The methodology provides a new algorithm to compute the gradient in cases where classical methods for numerical derivatives fail…”
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A stochastic gradient algorithm with momentum terms for optimal control problems governed by a convection–diffusion equation with random diffusivity Autor Toraman, Sıtkı Can, Yücel, Hamdullah

“…–diffusion equation with uncertain terms. Our approach is based on stochastic approximation where true gradient is replaced by a stochastic ones with suitable momentum term to minimize the objective functional containing random terms…”
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Fault Node Recovery Algorithm for a Wireless Sensor Network Autor Shih, Hong-Chi, Ho, Jiun-Huei, Liao, Bin-Yih, Pan, Jeng-Shyang

“… The algorithm is based on the grade diffusion algorithm combined with the genetic algorithm. The algorithm can result in fewer replacements of sensor nodes and more reused routing paths…”
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The diffusion least mean square algorithm with variable q-gradient Autor Cai, Peng, Wang, Shiyuan, Qian, Junhui, Zhang, Tao, Huang, Gangyi

“… To avoid the local minima in optimization for distributed adaptive filters, the q-gradient diffusion least mean square (q-DLMS…”
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An accelerated algorithm for discrete stochastic simulation of reaction-diffusion systems using gradient-based diffusion and tau-leaping Autor Koh, Wonryull, Blackwell, Kim T

“… We present an accelerated algorithm for discrete stochastic simulation of reaction-diffusion systems designed to improve the speed of simulation by reducing the number…”
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A first-order computational algorithm for reaction-diffusion type equations via primal-dual hybrid gradient method Autor Liu, Shu, Liu, Siting, Osher, Stanley, Li, Wuchen

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A Class of Diffusion Zero Attracting Stochastic Gradient Algorithms With Exponentiated Error Cost Functions Autor Luo, Zhengyan, Zhao, Haiquan, Zeng, Xiangping

“…In this paper, a class of diffusion zero-attracting stochastic gradient algorithms with exponentiated error cost functions is put forward due to its good performance for sparse system identification…”
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Gradient entropy metric and p-Laplace diffusion constraint-based algorithm for noisy multispectral image fusion Autor Zhao, Wenda, Xu, Zhijun, Zhao, Jian

“…•Local adaptive p-Laplace diffusion constraint is constructed while rebuilding the fused gradient field rebuilding the fused image from the fused gradient field…”
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Multitask Simplified Diffusion Orthogonal Gradient Adaptive Algorithm Autor Nurarak, Piyaporn, Sitjongsataporn, Suchada

“…In this paper, we introduce how to simplify the orthogonal gradient adaptive (OGA) algorithm for distributed network…”
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From hyperbolic diffusion scheme to gradient method: Implicit Green–Gauss gradients for unstructured grids Autor Nishikawa, Hiroaki

“… The proposed approach is to derive a gradient algorithm from a hyperbolic diffusion scheme, which solves the diffusion equation and equations for the solution gradient, by ignoring the residual…”
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Diffusion Hammerstein Spline Adaptive Filtering Based on Orthogonal Gradient Adaptive Algorithm Autor Sitjongsataporn, Suchada

“…) implemented by normalised version of orthogonal gradient adaptive (NOGA) algorithm over the distributed network…”
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Automatically Gradient Threshold Estimation of Anisotropic Diffusion for Meyer’s Watershed Algorithm Based Optimal Segmentation Autor Kumar PK, Mithun, Arefin, Md. Gauhar, Motiur Rahman, Mohammad, Delowar Hossain, A. S. M.

“… In this paper, we proposed automatically gradient threshold estimator of anisotropic diffusion for Meyer's Watershed algorithm based optimal segmentation…”
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Research on improved diffusion algorithm based on gradient quantization in target localization algorithm Autor Liu, Yuanheng, Yin, Yong

“…) algorithm to extract the gradient direction features from images. Building upon this, we propose an improved gradient diffusion algorithm…”
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