Výsledky vyhledávání - non-convex iterative reweighted least squares algorithm

Non-convex regularized self-representation for unsupervised feature selection Autor Zhu, Pengfei, Zhu, Wencheng, Wang, Weizhi, Zuo, Wangmeng, Hu, Qinghua

“… In this paper, we propose a non-convex regularized self-representation (RSR) model where features can be represented by a linear combination of other features, and propose to impose L2,p-norm (0 ≤ p < 1…”
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Learning Transition Operators From Sparse Space-Time Samples Autor Kummerle, Christian, Maggioni, Mauro, Tang, Sui

“…We consider the nonlinear inverse problem of learning a transition operator A from partial observations at T different times, in the form of sparse…”
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An adaptive non-convex hybrid total variation regularization method for image reconstruction in electrical impedance tomography Autor Shi, Yanyan, Zhang, Xu, Wang, Meng, Fu, Feng, Tian, Zhiwei

“… The iterative reweighted least squares algorithm and the iterative alternating direction method of multipliers algorithm are developed to solve the ANHTV-based inverse model in the image reconstruction…”
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Coupled image restoration model with non-convex non-smooth ℓp wavelet frame and total variation regularisation Autor Shen, Zhengwei, Cheng, Lishuang

“…) and wavelet frame coefficients penalty terms imposed on non-convex non-smooth ℓp-norm (0<p<1). The highlighted contributions to this model…”
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A non-convex piecewise quadratic approximation of ℓ0 regularization: theory and accelerated algorithm Autor Li, Qian, Zhang, Wei, Bai, Yanqin, Wang, Guoqiang

“…Non-convex regularization has been recognized as an especially important approach in recent studies to promote sparsity…”
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Fast non-convex compressed sensing approach for diagnosis of defective array elements using planar near-field measurements Autor Li, Wei, Deng, Weibo, Yang, Qiang, Migliore, Marco D

“… In order to overcome this limitation, in this study, a non-convex $\ell _p$ℓp ($0 \lt p \lt 1$0<p<1) norm minimisation utilising iteratively reweighted least squares algorithm for identification of impaired planar array elements is investigated…”
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An Iterative Support Shrinking Algorithm for Non-Lipschitz Optimization in Image Restoration Autor Zeng, Chao, Jia, Rui, Wu, Chunlin

“… A lower bound theory of the non-Lipschitz regularization is obtained, which inspires us to propose an algorithm guaranteeing the non-expansiveness of the images gradient support set…”
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Nonlinear residual minimization by iteratively reweighted least squares Autor Sigl, Juliane

“… . Due to the mild smoothness of the problem, especially for p → 1 , we develop and analyze a generalized version of iteratively reweighted least squares (IRLS…”
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Coupled image restoration model with non‐convex non‐smooth ℓ p wavelet frame and total variation regularisation Autor Shen, Zhengwei, Cheng, Lishuang

“…) and wavelet frame coefficients penalty terms imposed on non‐convex non‐smooth ℓ p ‐norm (0< p <1). The highlighted contributions to this model…”
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A new piecewise quadratic approximation approach for L 0 norm minimization problem Autor Li, Qian, Bai, Yanqin, Yu, Changjun, Ya-xiang, Yuan

“… Then, we develop a piecewise quadratic approximation (PQA) model where the objective function is given by the summation of a smooth non-convex component and a non-smooth convex component. To solve the (PQA…”
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Coupled image restoration model with non-convex non-smooth [scriptl] sub()pwavelet frame and total variation regularisation Autor Shen, Zhengwei, Cheng, Lishuang

“…) and wavelet frame coefficients penalty terms imposed on non-convex non-smooth [scriptl]p-norm (0<1). The highlighted contributions to this model…”
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Iterative reweighted least squares for matrix rank minimization Autor Mohan, K, Fazel, M

“… The Iterative Reweighted Least Squares (IRLSp) algorithm (0 <; p ≤ 1), has been proposed as a method to solve the ℓ p (p ≤ 1…”
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A Reweighted Least Squares Approach to QAM Detector for Blind Equalization Autor Konishi, Katsumi, Furukawa, Toshihiro

“… To find a local optimal solution of the problem, an iterative reweighted least squares based algorithm is proposed…”
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Smooth over-parameterized solvers for non-smooth structured optimization Autor Poon, Clarice, Peyré, Gabriel

“… In this work, we advocate and study a different route, which operates a non-convex but smooth over-parameterization of the underlying non-smooth optimization problems…”
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A reweighted least squares algorithm for detection of QAM signaling in MIMO channels Autor Konishi, Katsumi, Furukawa, Toshihiro

“…This paper proposes a reweighted least squares algorithm for quadrature amplitude modulation (QAM…”
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Recovering Sparse Signals With a Certain Family of Nonconvex Penalties and DC Programming Autor Gasso, G., Rakotomamonjy, A., Canu, S.

“… Several algorithms have been proposed for solving the resulting nonconvex least-squares problem…”
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Conjugate gradient acceleration of iteratively re-weighted least squares methods Autor Fornasier, Massimo, Peter, Steffen, Rauhut, Holger, Worm, Stephan

“…Iteratively re-weighted least squares (IRLS) is a method for solving minimization problems involving non-quadratic cost functions, perhaps non-convex and non…”
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Optimal approximation with exponential sums by a maximum likelihood modification of Prony’s method Autor Zhang, Ran, Plonka, Gerlind

“… We survey the derivation of the corresponding non-convex minimization problem that needs to be solved and give its interpretation as a maximum likelihood method…”
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Nonlinear Residual Minimization by Iteratively Reweighted Least Squares Autor Sigl, Juliane

“…\). Due to the mild smoothness of the problem, especially for \(p \to 1\), we develop and analyze a generalized version of Iteratively Reweighted Least Squares (IRLS…”
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Recovering sparse signals with a certain family of non-convex penalties and DC programming Autor Gasso, Gilles, Rakotomamonjy, Alain, Canu, Stephane

“… Several algorithms have been proposed for solving the resulting non-convex least-squares problem…”
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