Results 31 to 40 of about 404,975 (273)
A parallel multi‐block alternating direction method of multipliers for tensor completion
This paper proposes an algorithm for the tensor completion problem of estimating multi‐linear data under the limitation of observation rate. Many tensor completion methods are based on nuclear norm minimization, they may fail to achieve the global ...
Hu Zhu +5 more
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Self Equivalence of the Alternating Direction Method of Multipliers
The alternating direction method of multipliers (ADM or ADMM) breaks a complex optimization problem into much simpler subproblems. The ADM algorithms are typically short and easy to implement yet exhibit (nearly) state-of-the-art performance for large ...
Yan, Ming, Yin, Wotao
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Depth Image Enhancement Based on Hierarchical Identification and Alternating Direction Multiplier Method [PDF]
Because the depth image acquired by the mainstream sensor has image quality problems such as missing depth information area and noise,a depth image enhancement algorithm based on Static/Dynamic(SD) global optimization model is proposed.The SD global ...
ZHANG Yue,ZHU Qibing,HUANG Min,LI Hao
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The alternating direction method is one of the attractive approaches for solving convex optimization problems with linear constraints and separable objective functions.
Jingjing Peng +3 more
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Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting
The Augmented Lagragian Method (ALM) and Alternating Direction Method of Multiplier (ADMM) have been powerful optimization methods for general convex programming subject to linear constraint.
Li, Huan +3 more
core +1 more source
Hybrid variational model based on alternating direction method for image restoration
The total variation model is widely used in image deblurring and denoising process with the features of protecting the image edge. However, this model usually causes some staircase effects.
Jianguang Zhu, Kai Li, Binbin Hao
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Compressive beamforming with planar microphone arrays is capable of estimating the two-dimensional direction-of-arrivals (DOAs) and quantifying the strengths of acoustic sources effectively.
Yang Yang, Zhigang Chu
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Alternating direction method of multipliers for polynomial optimization
Multivariate polynomial optimization is a prevalent model for a number of engineering problems. From a mathematical viewpoint, polynomial optimization is challenging because it is non-convex. The Lasserre's theory, based on semidefinite relaxations, provides an effective tool to overcome this issue and to achieve the global optimum.
V Cerone, S Fosson, S Pirrera, D Regruto
openaire +3 more sources
The present paper deals with a generalization of the alternating-direction implicit (ADI) method for a two dimensional Poisson equation in a rectangle domain with a weighted integral boundary condition in one coordinate direction.
Olga Štikonienė, Mifodijus Sapagovas
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Joint Burst Denoising and Demosaicking via Regularization and an Efficient Alignment [PDF]
In this work, we show that an image reconstruction from a burst of individually demosaicked RAW captures propagates demosaicking artifacts throughout the image processing pipeline.
R. Azizi, A. M. Latif
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