Suchergebnisse - Difference of convex functions algorithm (DCA)

Impulse Noise Image Restoration Using Nonconvex Variational Model and Difference of Convex Functions Algorithm von 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 …”
Volltext

A new device-free localization method for RSS data with considering correlations von 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 …”
Volltext

A Preconditioned Difference of Convex Algorithm for Truncated Quadratic Regularization with Application to Imaging von Deng, Shengxiang, Sun, Hongpeng

“… We cooperated the classical preconditioned iterations for linear equations into the nonlinear difference of convex functions algorithms with extrapolation …”
Volltext

Difference of convex functions algorithms (DCA) for image restoration via a Markov random field model von Le Thi, Hoai An, Pham Dinh, Tao

“… (also known as half-quadratic) prior. For this aim, we use the difference of convex functions (DC …”
Volltext

s-SMOOTH: Sparsity and Smoothness Enhanced EEG Brain Tomography von 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 …”
Volltext

The Boosted DC Algorithm for Linearly Constrained DC Programming von 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 …”
Volltext

Using Positive Spanning Sets to Achieve d-Stationarity with the Boosted DC Algorithm von 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 …”
Volltext

On solving difference of convex functions programs with linear complementarity constraints von 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 …”
Volltext

Learning sparse classifiers with difference of convex functions algorithms von 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 …”
Volltext

RIP analysis for the weighted ℓr-ℓ1 minimization method von Zhou, Zhiyong

“… −ℓ1 minimization problem is solved via the difference of convex functions algorithms (DCA) directly …”
Volltext

Identifying optimal biomarker combinations for treatment selection via a robust kernel method von 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 …”
Volltext

Comparative study of non-convex penalties and related algorithms in compressed sensing von Xu, Fanding, Duan, Junbo, Liu, Wenyu

“… : the difference of convex function algorithm (DCA) and iterative shrinkage/thresholding algorithm (ISTA …”
Volltext

Novel DCA based algorithms for a special class of nonconvex problems with application in machine learning von 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 …”
Volltext

Outlier detection at the transcriptome-proteome interface von 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 …”
Volltext

Alternating direction method of multipliers with difference of convex functions von 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 …”
Volltext

Iterative Reweighted Minimization for Generalized Norm/Quasi-Norm Difference Regularized Unconstrained Nonlinear Programming von 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 …”
Volltext

DC programming approach for portfolio optimization under step increasing transaction costs von 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 …”
Volltext

Robust multicategory support matrix machines von 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 …”
Volltext

Low-rank matrix recovery with Ky Fan 2-k-norm von Doan, Xuan Vinh, Vavasis, Stephen

“… A general difference of convex functions algorithm (DCA) is developed to solve these models …”
Volltext

Robust outcome weighted learning for optimal individualized treatment rules von 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 …”
Volltext