Results 71 to 80 of about 27,500 (171)

Joint ptycho-tomography reconstruction through alternating direction method of multipliers

Optics Express, 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 optimization problem.
Selin Aslan, Viktor Nikitin, Daniel J. Ching, Tekin Bicer, Sven Leyffer, Doğa Gürsoy   +5 more
openaire   +2 more sources

Parameter Estimation with the Ordered ℓ₂ Regularization via an Alternating Direction Method of Multipliers

Applied Sciences, 2019
Regularization is a popular technique in machine learning for model estimation and for avoiding overfitting. Prior studies have found that modern ordered regularization can be more effective in handling highly correlated, high-dimensional data than ...
Mahammad Humayoo, Xueqi Cheng
doaj   +1 more source

Hybrid variational model based on alternating direction method for image restoration

Advances in Difference Equations, 2019
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
doaj   +1 more source

Regularized extreme learning machine based on variable step alternating direction method of multipliers

Shenzhen Daxue xuebao. Ligong ban
To address the deficiency of slow convergence rate and stagnation of error decay during later iteration of alternating direction method of multipliers (ADMM) for regularized extreme learning machine (RELM), we propose a dynamic step size ADMM-based RELM ...
LU Huihuang, ZOU Weidong, LI Yuxiang
doaj   +1 more source

Faster accelerated alternating direction method of multipliers

Filomat
In this paper, by implanting the classical Gauss-Seidel method into the Fast ADMM method, we propose the faster accelerated alternating direction method of multipliers (F-AADMM) to solve the convex optimization problem, and discuss the convergence property and convergence rate of the F-AADMM method.
Shi-Liang Wu, Sha-Sha Fan, Cui-Xia Li
openaire   +1 more source

Alternating Direction Method of Multipliers-Based Constant Modulus Waveform Design for Dual-Function Radar-Communication Systems. [PDF]

Entropy (Basel), 2023
Saleem A, Basit A, Munir MF, Waseem A, Khan W, Malik AN, AlQahtani SA, Daraz A, Pathak P.   +8 more
europepmc   +1 more source

Phase‐only transmit beampattern synthesis with sparse arrays via alternating optimisation‐alternating direction of the multipliers method

IET Microwaves, Antennas & Propagation
To get simultaneously sparse and constant modulus excitation to reduce the complexity of the array and the mutual effect of neighbouring elements, a novel algorithm via alternating optimisation‐alternating direction of the multipliers method is developed.
Lifeng Li, Xingang Liu, Xiangrong Wang, Mengkai Hu, Yufeng Du   +4 more
doaj   +1 more source

Fast and Adaptive Boosting Techniques for Variational Based Image Restoration

IEEE Access, 2019
Variational based problems are an important class of problems and have a space of improvement in image processing. Boosting techniques have been shown capable of improving many image restoration algorithms.
Samad Wali, Chunming Li, Abdul Basit, Abdul Shakoor, Raheel Ahmed Memon, Sabit Rahim, Samina Samina   +6 more
doaj   +1 more source

A Combined Approach to Infrared Small-Target Detection with the Alternating Direction Method of Multipliers and an Improved Top-Hat Transformation. [PDF]

Sensors (Basel), 2022
Xi T, Yuan L, Sun Q.
europepmc   +1 more source

Alternating Direction Method of Multipliers for Sparse Principal Component Analysis [PDF]

Journal of the Operations Research Society of China, 2013
We consider a convex relaxation of sparse principal component analysis proposed by d'Aspremont et al. in (d'Aspremont et al. SIAM Rev 49:434-448, 2007). This convex relaxation is a nonsmooth semidefinite programming problem in which the $\ell_1$ norm of the desired matrix is imposed in either the objective function or the constraint to improve the ...
openaire   +3 more sources