Search Results - Difference of convex functions algorithm (DCA)

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

“…> norm data fitting term and a total variation (TV) regularization. However, a convex optimization method designed in this way always yields staircase artifacts…”
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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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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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Difference of convex functions algorithms (DCA) for image restoration via a Markov random field model by Le Thi, Hoai An, Pham Dinh, Tao

“… (also known as half-quadratic) prior. For this aim, we use the difference of convex functions (DC…”
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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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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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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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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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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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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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Identifying optimal biomarker combinations for treatment selection via a robust kernel method by Huang, Ying, Fong, Youyi

“…Treatment‐selection markers predict an individual's response to different therapies, thus allowing for the selection of a therapy with the best predicted…”
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Comparative study of non-convex penalties and related algorithms in compressed sensing by Xu, Fanding, Duan, Junbo, Liu, Wenyu

“…: the difference of convex function algorithm (DCA) and iterative shrinkage/thresholding algorithm (ISTA…”
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Novel DCA based algorithms for a special class of nonconvex problems with application in machine learning by Le Thi, Hoai An, Le, Hoai Minh, Phan, Duy Nhat, Tran, Bach

“… (Difference of Convex functions) programming and DCA (DC Algorithm).•We first develop a standard DCA scheme especially dealing with the very specific structure of this problem…”
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Outlier detection at the transcriptome-proteome interface by Gunawardana, Yawwani, Fujiwara, Shuhei, Takeda, Akiko, Woo, Jeongmin, Woelk, Christopher, Niranjan, Mahesan

“…Background: In high-throughput experimental biology, it is widely acknowledged that while expression levels measured at the levels of transcriptome and the…”
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Alternating direction method of multipliers with difference of convex functions by Sun, Tao, Yin, Penghang, Cheng, Lizhi, Jiang, Hao

“…), a direct application of ADMM often leads to difficult nonconvex subproblems. To address this issue, we propose to convexify the subproblems through a linearization technique as done in the difference of convex functions algorithm (DCA…”
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Iterative Reweighted Minimization for Generalized Norm/Quasi-Norm Difference Regularized Unconstrained Nonlinear Programming by Cen, Yi, Zhang, Linna, Wang, Ke, Cen, Yigang

“…In this paper, we study the minimization of l p-q (0 <; p ≤ 1, q ≥ 1, p=6q), the general difference of l p and l q norms/quasi-norms, as a nonconvex metric for solving unconstrained nonlinear programming…”
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DC programming approach for portfolio optimization under step increasing transaction costs by Le Thi, Hoai An, Moeini, Mahdi, Dinh, Tao Pham

“… Then we apply the difference of convex functions algorithm (DCA) to the resulting polyhedral DC program…”
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Robust multicategory support matrix machines by Qian, Chengde, Tran-Dinh, Quoc, Fu, Sheng, Zou, Changliang, Liu, Yufeng

“… ), which optimizes an objective function with a hinge loss plus a so-called spectral elastic net penalty…”
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Low-rank matrix recovery with Ky Fan 2-k-norm by Doan, Xuan Vinh, Vavasis, Stephen

“… A general difference of convex functions algorithm (DCA) is developed to solve these models…”
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Robust outcome weighted learning for optimal individualized treatment rules by Fu, Sheng, He, Qinying, Zhang, Sanguo, Liu, Yufeng

“… Since most of commonly used loss functions are unbounded, the resulting ITR may suffer similar effects of outliers as the corresponding classifiers…”
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