Search Results - "parallel proximal algorithm"

A Parallel Proximal Algorithm for Anisotropic Total Variation Minimization by Kamilov, Ulugbek S.

“…Total variation (TV) is a one of the most popular regularizers for stabilizing the solution of ill-posed inverse problems. This paper proposes a novel…”
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Parallel Proximal Algorithm for Image Restoration Using Hybrid Regularization by Pustelnik, N., Chaux, C., Pesquet, J.

“…Regularization approaches have demonstrated their effectiveness for solving ill-posed problems. However, in the context of variational restoration methods, a…”
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Learning-Based Image Reconstruction via Parallel Proximal Algorithm by Bostan, Emrah, Kamilov, Ulugbek S., Waller, Laura

“… Specifically, our method learns the prior via extending the recently proposed fast parallel proximal algorithm to incorporate data-adaptive proximal operators…”
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Dynamic State Estimation for Large Scale Systems Based on a Parallel Proximal Algorithm by Molina-Machado, Cristhian D, Martinez-Vargas, Juan D, Giraldo, Eduardo

“…In this paper, a novel method for parallel dynamic state estimation of large scale systems is presented. Since this task requires a high amount of…”
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Parallel Proximal Algorithm for Anisotropic Total Variation Minimization by Kamilov, Ulugbek

“…Total variation (TV) is a one of the most popular regularizers for stabilizing the solution of ill-posed inverse problems. This paper proposes a novel…”
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Variations on the Convolutional Sparse Coding Model by Rey-Otero, Ives, Sulam, Jeremias, Elad, Michael

“…Over the past decade, the celebrated sparse representation model has achieved impressive results in various signal and image processing tasks. A convolutional…”
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Parallel proximal algorithm for interior tomography problems in x-ray CT with tiny a priori knowledge by Minji Lee, Jong Chul Ye

“… However, it is well-known that the convergence speed of POCS is slow; hence, to overcome the limitation, this paper employs a parallel proximal algorithm (PPXA…”
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Learning-based Image Reconstruction via Parallel Proximal Algorithm by Bostan, Emrah, Kamilov, Ulugbek S, Waller, Laura

“… Specifically, our method learns the prior via extending the recently proposed fast parallel proximal algorithm (FPPA…”
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Proximal splitting methods for depth estimation by El Gheche, Mireille, Pesquet, Jean-Christophe, Farah, Joumana, Kaaniche, Mounir, Pesquet-Popescu, Beatrice

“… of the proposed parallel proximal algorithm…”
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Parallel Proximal Algorithm for Image Restoration Using Hybrid Regularization -- Extended Version by Pustelnik, Nelly, Chaux, Caroline, Jean-Christophe Pesquet

“…Regularization approaches have demonstrated their effectiveness for solving ill-posed problems. However, in the context of variational restoration methods, a…”
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Demixed Sparse Principal Component Analysis Through Hybrid Structural Regularizers by Zhang, Yan, Xu, Haoqing

“…Recently, the sparse representation of multivariate data has gained great popularity in real-world applications like neural activity analysis. Many previous…”
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Spatio-temporal wavelet regularization for parallel MRI reconstruction: application to functional MRI by Chaari, Lotfi, Ciuciu, Philippe, Mériaux, Sébastien, Pesquet, Jean-Christophe

“… The resulting optimality criterion is convex but nonsmooth, and we resort to the parallel proximal algorithm to minimize…”
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Computational Prediction of Drug-Disease Association Based on Graph-Regularized One Bit Matrix Completion by Mongia, Aanchal, Chouzenoux, Emilie, Majumdar, Angshul

“…Investigation of existing drugs is an effective alternative to the discovery of new drugs for treating diseases. This task of drug re-positioning can be…”
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A Parallel Proximal Splitting Method for Disparity Estimation from Multicomponent Images Under Illumination Variation by Chaux, C., El-Gheche, M., Farah, J., Pesquet, J.-C., Pesquet-Popescu, B.

“…Proximal splitting algorithms play a central role in finding the numerical solution of convex optimization problems. This paper addresses the problem of stereo…”
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On vector and matrix median computation by Setzer, S., Steidl, G., Teuber, T.

“…The aim of this paper is to gain more insight into vector and matrix medians and to investigate algorithms to compute them. We prove relations between vector…”
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Computational prediction of Drug-Disease association based on Graph-regularized one bit Matrix completion by Mongia, Aanchal, Chouzenoux, Emilie, Majumdar, Angshul

“…Investigation of existing drugs is an effective alternative to the discovery of new drugs for treating diseases. This task of drug re-positioning can be…”
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Compressed Sensing-Based Terahertz Imaging Algorithm in 6G-ISAC Terminal Systems by Lyu, Jue, Liu, Qiao, Wang, Guangjian

“…As an important embodiment of integrated sensing and communication (ISAC), terminal imaging using orthogonal frequency division multiplexing (OFDM)…”
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Dual constrained TV-based regularization by Couprie, Camille, Talbot, Hugues, Pesquet, Jean-Christophe, Najman, Laurent, Grady, Leo

“… the constraint on the projection variable. We show how this new formulation of the TV problem may be solved by means of a fast parallel proximal algorithm, which performs better than the classical TV approach for denoising, and is also…”
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Exploiting Correlation Structures for Geoscience by Fan, Bo

“…Geoscience is the scientific study of the planet earth and its many different natural geologic systems. It has been widely used in geology, archaeology,…”
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Computational prediction of Drug-Disease association based on Graph-regularized one bit Matrix completion by Mongia, Aanchal, Chouzenoux, Emilie, Majumdar, Angshul

“…Motivation: Investigation of existing drugs is an effective alternative to discovery of new drugs for treating diseases. This task of drug re-positioning can…”
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