Search Results - "Difference of convex functions algorithm"

Impulse Noise Image Restoration Using Nonconvex Variational Model and Difference of Convex Functions Algorithm by 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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Universum parametric-margin ν-support vector machine for classification using the difference of convex functions algorithm by Moosaei, Hossein, Bazikar, Fatemeh, Ketabchi, Saeed, Hladík, Milan

“…Universum data that do not belong to any class of a classification problem can be exploited to utilize prior knowledge to improve generalization performance…”
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A Difference of Convex Functions Algorithm for Switched Linear Regression by Tao Pham Dinh, Hoai Minh Le, Hoai An Le Thi, Lauer, Fabien

“…This technical note deals with switched linear system identification and more particularly aims at solving switched linear regression problems in a large-scale…”
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Long-Short Portfolio Optimization Under Cardinality Constraints by Difference of Convex Functions Algorithm by Le Thi, Hoai An, Moeini, Mahdi

“…In the matter of Portfolio selection, we consider an extended version of the Mean-Absolute Deviation (MAD) model, which includes discrete asset choice…”
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A unified equivalent model of the l0 minimization model for structural damage identification by 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 by 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 by 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 by 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 by 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 functions Algorithm (DCA…”
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Unknown-but-bounded uncertainty propagation in spacecraft structural system: Interval reduced basis method and its integrated framework by 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 by 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…”
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On solving difference of convex functions programs with linear complementarity constraints by Le Thi, Hoai An, Nguyen, Thi Minh Tam, Dinh, Tao Pham

“… The difference of convex functions algorithm (DCA), an efficient approach in nonconvex programming framework, is then developed to solve the resulting problems…”
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A Preconditioned Difference of Convex Algorithm for Truncated Quadratic Regularization with Application to Imaging by Deng, Shengxiang, Sun, Hongpeng

“… We cooperated the classical preconditioned iterations for linear equations into the nonlinear difference of convex functions algorithms with extrapolation…”
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The Boosted Difference of Convex Functions Algorithm for Value-at-Risk Constrained Portfolio Optimization by Thormann, Marah-Lisanne, Phan Tu Vuong, Zemkoho, Alain B

“…) functions representation of the VaR can be derived. Wozabal (2012) showed that this yields a solution to a VaR constrained Markowitz style portfolio selection problem using the Difference of Convex Functions Algorithm (DCA…”
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Using Positive Spanning Sets to Achieve d-Stationarity with the Boosted DC Algorithm by 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…”
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s-SMOOTH: Sparsity and Smoothness Enhanced EEG Brain Tomography by 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 by 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 by Xiangsheng, Gao, Min, Wang, Qi, Li, Tao, Zan

“… based on an numerical method combined second-order Taylor series expansion with difference of convex functions algorithm is conducted in this research…”
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Minimization of transformed L1 penalty: theory, difference of convex function algorithm, and robust application in compressed sensing by 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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Feature selection in machine learning: an exact penalty approach using a Difference of Convex function Algorithm by Le Thi, Hoai An, Le, Hoai Minh, Pham Dinh, Tao

“…We develop an exact penalty approach for feature selection in machine learning via the zero-norm ℓ 0 -regularization problem. Using a new result on exact…”
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