Výsledky vyhledávání - "difference of convex functions algorithm"

A unified equivalent model of the l0 minimization model for structural damage identification Autor Song, Xueli, Ma, Xiao, Li, Rongpeng, Yi, Wen, Ma, Lingjuan, Zheng, Supei, Wang, Kaiming

“…Sensitivity analysis-based structural damage identification can be transformed into solving the l0 minimization model (the original model) because damage…”
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Sparse-View Spectral CT Reconstruction Using Spectral Patch-Based Low-Rank Penalty Autor Kyungsang Kim, Jong Chul Ye, Worstell, William, Jinsong Ouyang, Rakvongthai, Yothin, El Fakhri, Georges, Quanzheng Li

“…Spectral computed tomography (CT) is a promising technique with the potential for improving lesion detection, tissue characterization, and material…”
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Optimization of Device-Free Localization with Springback Dual Models: A Synthetic and Analytical Framework Autor Li, Jinan, Tan, Benying, Qin, Yang, Mo, Yaoyao

“…In complex environments, traditional device-free localization (DFL) methods based on received signal strength (RSS) encounter difficulties in simultaneously…”
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A new device-free localization method for RSS data with considering correlations Autor Xia, Ziwei, Tan, Benying, Zhao, Haoli, Ding, Shuxue, Li, Yujie

“…Device-free localization (DFL) is an emerging intelligent sensing technique with challenging issues due to the highly correlated data. Localization performance…”
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The Boosted DC Algorithm for Linearly Constrained DC Programming Autor Aragón-Artacho, F. J., Campoy, R., Vuong, P. T.

“…The Boosted Difference of Convex functions Algorithm (BDCA) has been recently introduced to accelerate the performance of the classical Difference of Convex…”
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Unknown-but-bounded uncertainty propagation in spacecraft structural system: Interval reduced basis method and its integrated framework Autor Lyu, Zheng, Yang, Yaowen, Xia, Haijun

“…Uncertainty propagation analysis is a key issue for the safety and optimal design of spacecraft structures. This paper proposes an interval reduced basis…”
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A boosted DC algorithm for non-differentiable DC components with non-monotone line search Autor Ferreira, O. P., Santos, E. M., Souza, J. C. O.

“…We introduce a new approach to apply the boosted difference of convex functions algorithm (BDCA) for solving non-convex and non-differentiable problems…”
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Impulse Noise Image Restoration Using Nonconvex Variational Model and Difference of Convex Functions Algorithm Autor Zhang, Benxin, Zhu, Guopu, Zhu, Zhibin, Zhang, Hongli, Zhou, Yicong, Kwong, Sam

“…In this article, the problem of impulse noise image restoration is investigated. A typical way to eliminate impulse noise is to use an <inline-formula>…”
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On solving difference of convex functions programs with linear complementarity constraints Autor Le Thi, Hoai An, Nguyen, Thi Minh Tam, Dinh, Tao Pham

“…We address a large class of Mathematical Programs with Linear Complementarity Constraints which minimizes a continuously differentiable DC function (Difference…”
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A Preconditioned Difference of Convex Algorithm for Truncated Quadratic Regularization with Application to Imaging Autor Deng, Shengxiang, Sun, Hongpeng

“…We consider the minimization problem with the truncated quadratic regularization, which is a nonsmooth and nonconvex problem. We cooperated the classical…”
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Using Positive Spanning Sets to Achieve d-Stationarity with the Boosted DC Algorithm Autor Artacho, F. J. Aragón, Campoy, R., Vuong, P. T.

“…The Difference of Convex functions Algorithm (DCA) is widely used for minimizing the difference of two convex functions. A recently proposed accelerated…”
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s-SMOOTH: Sparsity and Smoothness Enhanced EEG Brain Tomography Autor Li, Ying, Qin, Jing, Hsin, Yue-Loong, Osher, Stanley, Liu, Wentai

“…EEG source imaging enables us to reconstruct current density in the brain from the electrical measurements with excellent temporal resolution (~ ). The…”
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Group-based truncated l1-2 model for image inpainting Autor Ma, Tian-Hui, Lou, Yifei, Huang, Ting-Zhu, Zhao, Xi-Le

“…We propose a novel image inpainting model that can effectively estimate missing pixels in an observed image. The latent image is characterized by a group-based…”
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Uncertainty analysis of torque-induced bending deformations in ball screw systems Autor Xiangsheng, Gao, Min, Wang, Qi, Li, Tao, Zan

“…In order to study the torque-induced bending deformation in ball screw systems with uncertain-but-bounded parameters, uncertainty analysis of torque-induced…”
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Minimization of transformed L1 penalty: theory, difference of convex function algorithm, and robust application in compressed sensing Autor Zhang, Shuai, Xin, Jack

“…We study the minimization problem of a non-convex sparsity promoting penalty function, the transformed l 1 (TL1), and its application in compressed sensing…”
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RIP analysis for the weighted ℓr-ℓ1 minimization method Autor Zhou, Zhiyong

“…•The restricted isometry property (RIP) and high-order RIP analysis results for the weighted ℓr−ℓ1 minimization method are presented.•Through a novel…”
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Joint active user detection and channel estimation for massive machine-type communications: a difference-of-convex optimization perspective Autor Zhu, Lijun, Liu, Kaihui, Wan, Liangtian, Sun, Lu, Xiong, Yifeng

“…Sparsity-based joint active user detection and channel estimation (JADCE) algorithms are crucial in grant-free massive machine-type communication (mMTC)…”
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Robust multicategory support matrix machines Autor Qian, Chengde, Tran-Dinh, Quoc, Fu, Sheng, Zou, Changliang, Liu, Yufeng

“…We consider the classification problem when the input features are represented as matrices rather than vectors. To preserve the intrinsic structures for…”
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