Search Results - "Difference of convex functions algorithms"

Feature selection for linear SVMs under uncertain data: Robust optimization based on difference of convex functions algorithms by Le Thi, Hoai An, Vo, Xuan Thanh, Pham Dinh, Tao

“…In this paper, we consider the problem of feature selection for linear SVMs on uncertain data that is inherently prevalent in almost all datasets. Using…”
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Learning sparse classifiers with difference of convex functions algorithms by Ong, Cheng Soon, An, Le Thi Hoai

“… ℓ 1 regularization with hinge loss, and the ramp loss versions of approximate ℓ 0 and capped ℓ 1 regularization. We derive difference of convex functions algorithms…”
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Smoothing techniques and difference of convex functions algorithms for image reconstructions by Mau Nam, Nguyen, Hoai An, Le Thi, Giles, Daniel, Thai An, Nguyen

“…In this paper, we study characterizations of differentiability for real-valued functions based on generalized differentiation. These characterizations provide…”
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Difference of convex functions algorithms (DCA) for image restoration via a Markov random field model by Le Thi, Hoai An, Pham Dinh, Tao

“…In this paper, we introduce a novel approach in the nonconvex optimization framework for image restoration via a Markov random field (MRF) model. While image…”
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RIP analysis for the weighted ℓr-ℓ1 minimization method by Zhou, Zhiyong

“…−ℓ1 minimization problem is solved via the difference of convex functions algorithms (DCA) directly…”
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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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D.C. programming for sparse proximal support vector machines by Li, Guoquan, Yang, Linxi, Wu, Zhiyou, Wu, Changzhi

“…•New SPSVMs model is proposed by using l0-norm rather than l1-norm.•Introduce a new nonconvex continuous approximation of l0-norm.•An alternating scheme based…”
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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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