Suchergebnisse - difference‐of‐convex algorithm framework

Sparse signal recovery via minimax‐concave penalty and ℓ1 ‐norm loss function von Sun, Yuli, Chen, Hao, Tao, Jinxu

“… ‐norm loss function, and then use the difference‐of‐convex algorithm framework to solve the non‐convex problem …”
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Computer Aided Verification: 33rd International Conference, CAV 2021, Virtual Event, July 20–23, 2021, Proceedings, Part I von Silva, Alexandra, Leino, K. Rustan M

“… This open access two-volume set LNCS 12759 and 12760 constitutes the refereed proceedings of the 33rd International Conference on Computer Aided Verification, …”
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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 …”
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Adaptive k-sparse constrained dictionary learning strategy for bioluminescence tomography reconstruction von Yang, Bianbian, He, Yiting, Cai, Nannan, Chen, Yi, Yi, Huangjian, Hao, Xingxing, Gao, Chengyi, Cao, Xin

“… . We propose an accelerated forward-backward splitting and the difference of convex functions algorithm (AFBS-DCA …”
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A DC programming approach for finding communities in networks von Le Thi, Hoai An, Nguyen, Manh Cuong, Dinh, Tao Pham

“… In this letter, we propose a fast and scalable algorithm called DCAM, based on DC (difference of convex function …”
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MAP inference algorithms without approximation for collective graphical models on path graphs via discrete difference of convex algorithm von Akagi, Yasunori, Marumo, Naoki, Kim, Hideaki, Kurashima, Takeshi, Toda, Hiroyuki

“… Collective graphical model (CGM) is a probabilistic model that provides a framework for analyzing aggregated count data …”
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A non-convex algorithm framework based on DC programming and DCA for matrix completion von Geng, Juan, Wang, Laisheng, Wang, Yanfei

“… In this paper, we propose a unified framework based on Difference of Convex functions (DC) programming and DC Algorithms (DCA …”
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Global optimization method for maximizing the sum of difference of convex functions ratios over nonconvex region von Pei, Yonggang, Zhu, Detong

“… This algorithm is based on branch and bound framework. To obtain a difference of convex programming, the considered problem is first reformulated by introducing new variables as few as possible …”
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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 …”
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An Inexact Bregman Proximal Difference-of-Convex Algorithm with Two Types of Relative Stopping Criteria von Yang, Lei, Hu, Jingjing, Toh, Kim-Chuan

“… In this paper, we consider a class of difference-of-convex (DC) optimization problems, which require only a weaker restricted L -smooth adaptable property …”
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Alternating DC algorithm for partial DC programming problems von Pham Dinh, Tao, Huynh, Van Ngai, Le Thi, Hoai An, Ho, Vinh Thanh

“… DC (Difference of Convex functions) programming and DCA (DC Algorithm) play a key role in nonconvex programming framework …”
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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 …”
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Binary classification via spherical separator by DC programming and DCA von Le Thi, Hoai An, Le, Hoai Minh, Pham Dinh, Tao, Van Huynh, Ngai

“… (Difference of Convex functions) programming framework and solved by DCA (DC Algorithm) as shown in the works of Astorino et al. (J Glob Optim 48(4):657–669, 2010 …”
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A Robust Regression Framework with Laplace Kernel-Induced Loss von Yang, Liming, Ren, Zhuo, Wang, Yidan, Dong, Hongwei

“… The problems are formulated as DC (difference of convex functions) programming. The corresponding DC algorithms (DCAs) converge linearly …”
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Efficient Nonnegative Matrix Factorization by DC Programming and DCA von Le Thi, Hoai An, Vo, Xuan Thanh, Dinh, Tao Pham

“… Two approaches based on DC (difference of convex functions) programming and DCA (DC algorithm) are developed. The first approach follows the alternating framework …”
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Hyperspectral Image Restoration via Global L1-2 Spatial-Spectral Total Variation Regularized Local Low-Rank Tensor Recovery von Zeng, Haijin, Xie, Xiaozhen, Cui, Haojie, Yin, Hanping, Ning, Jifeng

“… Hyperspectral images (HSIs) are usually corrupted by various noises, e.g., Gaussian noise, impulse noise, stripes, dead lines, and many others. In this …”
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Nonconvex Regularized Gradient Projection Sparse Reconstruction for Massive MIMO Channel Estimation von Wu, Pengxia, Cheng, Julian

“… Accurate and fast reconstructions can be achieved by performing gradient projection updates within the framework of difference of convex functions (DC) programming …”
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Block clustering based on difference of convex functions (DC) programming and DC algorithms von Le, Hoai Minh, Le Thi, Hoai An, Dinh, Tao Pham, Huynh, Van Ngai

“… We investigate difference of convex functions (DC) programming and the DC algorithm (DCA …”
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Long-Short Portfolio Optimization Under Cardinality Constraints by Difference of Convex Functions Algorithm von Le Thi, Hoai An, Moeini, Mahdi

“… Attempting to use DC (Difference of Convex functions) programming and DCA (DC Algorithms), an efficient approach in non-convex programming framework …”
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APDCA: An accurate and effective method for predicting associations between RBPs and AS-events during epithelial-mesenchymal transition von He, Yangsong, Bai, Zheng-Jian, Ching, Wai-Ki, Zou, Quan, Qiu, Yushan

“… Motivation: Epithelial-mesenchymal transition (EMT) plays a key role in cancer metastasis by promoting changes in adhesion and motility. RNA-binding proteins …”
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