Results 71 to 80 of about 16,083 (234)
High Voltage, EarlyView.ABSTRACT Diagnosing high‐impedance ground faults (HIGFs) in distribution networks is extremely challenging because high transition resistance significantly reduces electrical signal strength and unpredictable initial fault phase angles coupled with asymmetric voltage disturbances often lead to misclassification.
Zhengyang Li +5 more
wiley +1 more source
Computing Skinning Weights via Convex Duality
Computer Graphics Forum, EarlyView.We present an alternate optimization method to compute bounded biharmonic skinning weights. Our method relies on a dual formulation, which can be optimized with a nonnegative linear least squares setup. Abstract We study the problem of optimising for skinning weights through the lens of convex duality.
J. Solomon, O. Stein
wiley +1 more source
Image Restoration Based on the Hybrid Total-Variation-Type Model
Abstract and Applied Analysis, 2012 We propose a hybrid total-variation-type model for the image restoration problem based on combining advantages of the ROF model with the LLT model.
Baoli Shi, Zhi-Feng Pang, Yu-Fei Yang
doaj +1 more source
, 2023 Among the clustering methods, K-Means and variants are very popular. Thesemethods solve at each iteration the first order optimality conditions. However, in somecases, the function to be minimized is not convex, as for the Fuzzy C-Means version withMahalanobis distance (FCM-GK).
Albert, Benoit +2 more
openaire +1 more source
Hierarchical Optimization of the As‐Rigid‐As‐Possible Energy
Computer Graphics Forum, EarlyView.Abstract The As‐Rigid‐As‐Possible (ARAP) energy [SA07] has become a versatile ingredient in various geometry processing and machine learning methods. The classic method for its minimization is a block coordinate descent, alternating between local rotation estimation and a global linear solve, which converges slowly for large problem instances.
Hendrik Meyer, Bernd Bickel, Marc Alexa
wiley +1 more source
On the O(1/k) convergence of asynchronous distributed alternating Direction Method of Multipliers [PDF]
, 2013 We consider a network of agents that are cooperatively solving a global optimization problem, where the objective function is the sum of privately known local objective functions of the agents and the decision variables are coupled via linear constraints.
Asuman Ozdaglar +3 more
core +1 more source
Fast Stochastic Alternating Direction Method of Multipliers
, 2014 We propose a new stochastic alternating direction method of multipliers (ADMM) algorithm, which incrementally approximates the full gradient in the linearized ADMM formulation.
Zhong, Leon Wenliang, Kwok, Tin Yau
core +1 more source
IEEE Transactions on Power Systems, 2020 With the advent of Smart Grids and advanced communication technologies, the self-healing scheme has become a desirable function of the operation and planning of electrical distribution systems (EDSs).
Feifan Shen +5 more
semanticscholar +1 more source
Magnetic Resonance in Medicine, Volume 96, Issue 2, Page 580-595, August 2026.ABSTRACT Purpose Echo‐planar time‐resolved imaging (EPTI) provides distortion‐ and T2/T2* blurring‐free multi‐echo/multi‐contrast imaging with fast speed, making it an efficient acquisition method for various MRI applications. Here, we aim to achieve water–fat separation for EPTI to improve fat signal removal for brain/body imaging applications. Theory
Zhangxuan Hu +5 more
wiley +1 more source
Joint ptycho-tomography reconstruction through alternating direction method of multipliers
, 2019 We present the extension of ptychography for three-dimensional object reconstruction in a tomography setting. We describe the alternating direction method of multipliers (ADMM) as a generic reconstruction framework to efficiently solve the nonlinear ...
Bicer, Tekin +5 more
core +1 more source