Suchergebnisse - Fixed point iterative thresholding algorithm

Adaptive fixed-point iterative shrinkage/thresholding algorithm for MR imaging reconstruction using compressed sensing von Wu, Geming, Luo, Shuqian

“… To guarantee the accuracy and efficiency of the CS-based MR image reconstruction, it necessitates determining several regularization and algorithm-introduced parameters properly in practical implementations …”
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Fast and efficient algorithm for matrix completion via closed-form 2/3-thresholding operator von Wang, Zhi, Wang, Wendong, Wang, Jianjun, Chen, Siqi

“… We also establish a necessary optimal condition and propose a fixed point iterative scheme for solving L2/3 regularization problem …”
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An improved fast iterative shrinkage thresholding algorithm with an error for image deblurring problem von Tianchai, Pattanapong

“… We also apply our main result to improve the fast iterative shrinkage thresholding algorithm (IFISTA …”
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Linear programming with nonparametric penalty programs and iterated thresholding von Kline, Jeffery, Fung, Glenn Martin

“… This leads to an iterative thresholding algorithm that converges to a desired limit point. We show in numerical …”
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A New and Improved Quantitative Recovery Analysis for Iterative Hard Thresholding Algorithms in Compressed Sensing von Cartis, Coralia, Thompson, Andrew

“… We present a new recovery analysis for a standard compressed sensing algorithm, Iterative Hard Thresholding (IHT …”
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Two-step version of fixed point continuation method for sparse reconstruction von Wang, Hao, Liu, Hongying, Xia, Yong

“… ) is originally proposed to deal with these problems, and fixed point continuation algorithm (FPC) was proposed recently as an improved version of IST …”
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Iterative Hard Thresholding and L0 Regularisation von Blumensath, T., Yaghoobi, M., Davies, M.E.

“… In this paper we proof the convergence of an iterative hard thresholding algorithm and show, that the fixed points of that algorithm are local minima of the sparse approximation cost function …”
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Optimality condition and iterative thresholding algorithm for lp-regularization problems von Jiao, Hongwei, Chen, Yongqiang, Yin, Jingben

“… , the global optimum solutions are fixed points of a vector thresholding operator. In addition, by selecting parameters carefully, a global minimizer which will have certain desired sparsity can be obtained …”
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A convergence analysis for iterative sparsification projection with soft-thresholding von Zhu, Tao

“… ) which is an instance of the nonsmooth-ISP. In our analysis, the composite operator of soft-thresholding and proximal projection is viewed as a fixed point mapping, whose nonexpansiveness plays a key role …”
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A Parallel Line Search Subspace Correction Method for Composite Convex Optimization von Dong, Qian, Liu, Xin, Wen, Zai-Wen, Yuan, Ya-Xiang

“… Their convergence is established under mild assumptions. We compare PSCLN and PSCLO with the parallel version of the fast iterative thresholding algorithm and the fixed …”
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Lensless Digital Holographic Reconstruction Based on the Deep Unfolding Iterative Shrinkage Thresholding Network von Chen, Duofang, Guo, Zijian, Guan, Huidi, Chen, Xueli

“… Such lensless imaging designs have enabled high-resolution and high-throughput imaging of specimens using compact, portable, and cost-effective devices to potentially address various point-of-care …”
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Half thresholding eigenvalue algorithm for semidefinite matrix completion von Chen, YongQiang, Luo, ZiYan, Xiu, NaiHua

“… Then we prove that the global optimal solutions of S1/2regularization model are fixed points of a symmetric matrix half thresholding operator …”
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Image Recovery Via Hybrid Sparse Representations: A Deterministic Annealing Approach von Li, Xin

“… ) where sparsity offers a plausible approximation of model posterior probabilities. An iterative thresholding-based image recovery algorithm using hybrid sparse representations …”
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NMR data processing using iterative thresholding and minimum l(1)-norm reconstruction von Stern, Alan S, Donoho, David L, Hoch, Jeffrey C

“… Using a special form of the thresholding operation, called soft thresholding, we show that the fixed point of iterative thresholding is equivalent to minimum l(1 …”
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Smooth Blockwise Iterative Thresholding: A Smooth Fixed Point Estimator Based on the Likelihood’s Block Gradient von Sardy, Sylvain

“… The proposed smooth blockwise iterative thresholding estimator (SBITE) is a model selection technique defined as a fixed point reached by iterating a likelihood gradient-based thresholding function. The smooth James …”
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Optimality condition and iterative thresholding algorithm for [Formula: see text]-regularization problems von Jiao, Hongwei, Chen, Yongqiang, Yin, Jingben

“… ]-regularization problems, i.e., the global optimum solutions are fixed points of a vector thresholding operator …”
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Split monotone variational inclusion with errors for image-feature extraction with multiple-image blends problem von Tianchai, Pattanapong

“… In this paper, we introduce a new iterative forward–backward splitting algorithm with errors for solving the split monotone variational inclusion problem of the sum of two monotone operators in real Hilbert spaces …”
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NMR data processing using iterative thresholding and minimum l1-norm reconstruction von Stern, Alan S., Donoho, David L., Hoch, Jeffrey C.

“… Using a special form of the thresholding operation, called soft thresholding, we show that the fixed point of iterative thresholding is equivalent to minimum l1-norm reconstruction …”
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Back to basics: Fast denoising iterative algorithm von Pereg, Deborah

“… We introduce Back to Basics (BTB), a fast iterative algorithm for noise reduction …”
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Optimality condition and iterative thresholding algorithm for l_(p) lp-regularization problems von Jiao, Hongwei, Chen, Yongqiang, Yin, Jingben

“… $$ lp-regularization problems, i.e., the global optimum solutions are fixed points of a vector thresholding operator …”
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