Výsledky vyhledávání - difference‐of‐convex algorithm framework*

Sparse signal recovery via minimax‐concave penalty and ℓ1 ‐norm loss function Autor 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 Autor 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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Adaptive k-sparse constrained dictionary learning strategy for bioluminescence tomography reconstruction Autor 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 Robust Regression Framework with Laplace Kernel-Induced Loss Autor 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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A non-convex algorithm framework based on DC programming and DCA for matrix completion Autor 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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Comparative study of non-convex penalties and related algorithms in compressed sensing Autor Xu, Fanding, Duan, Junbo, Liu, Wenyu

“…: the difference of convex function algorithm (DCA) and iterative shrinkage/thresholding algorithm (ISTA…”
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Joint UAV Placement and Transceiver Design in Multi-User Wireless Relay Networks Autor Chou, Tzu-Hsuan, Michelusi, Nicolo, Love, David J., Krogmeier, James V.

“…In this paper, a novel approach is proposed to improve the minimum signal-to-interference-plus-noise-ratio (SINR) among users in non-orthogonal multi-user…”
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Optimization of Device-Free Localization with Springback Dual Models: A Synthetic and Analytical Framework Autor 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 Deep Dictionary Learning Framework for Device-Free Localization Based on Nonconvex Sparse Regularization and DC Programming Autor Tan, Benying, Wang, Manman, Li, Yujie, Lu, Yongyun, Ding, Shuxue

“… However, the current DFL algorithms have limitations in terms of stability and accuracy, which hinders the widespread application of DFL…”
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Unknown-but-bounded uncertainty propagation in spacecraft structural system: Interval reduced basis method and its integrated framework Autor Lyu, Zheng, Yang, Yaowen, Xia, Haijun

“… Meanwhile, an integrated framework on the basis of IRBM is established by coupling the current finite element codes, which lays the foundation for development of an easy-to-use interval finite element software…”
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A generalized adaptive robust distance metric driven smooth regularization learning framework for pattern recognition Autor Ma, Jun, Yu, Guolin

“…), regularization and smoothing techniques.•The fast Newton-Armijo algorithm and DC (difference of convex functions…”
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A sparse logistic regression framework by difference of convex functions programming Autor Yang, Liming, Qian, Yannan

“… We apply a proper nonconvex approximation of the zero-norm to derive a robust difference of convex functions (DC) program…”
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A framework for optimization under ambiguity Autor Wozabal, David

“…In this paper, single stage stochastic programs with ambiguous distributions for the involved random variables are considered. Though the true distribution is…”
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A Unified Framework for Solving a General Class of Nonconvexly Regularized Convex Models Autor Zhang, Yi, Yamada, Isao

“… This article proposes a general class of such convexity-preserving (CP) regularizers, termed partially smoothed difference-of-convex (pSDC) regularizer…”
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MAP inference algorithms without approximation for collective graphical models on path graphs via discrete difference of convex algorithm Autor 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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Frequency Plan Design and Beam Power Allocation for Flexible High Throughput Satellite Systems: A Two-Stage Optimization Framework Autor Wang, Meng, Liu, Kang, Dong, Zanyang, Zhou, Yejun, Wu, Chenyu, Han, Shuai

“…) problem, which can not be directly solved using traditional optimization methods. To address this issue, we propose a two-stage optimization framework, aimed…”
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A sparse extreme learning machine framework by continuous optimization algorithms and its application in pattern recognition Autor Yang, Liming, Zhang, Siyun

“… The first is DC (difference of convex functions) approximation approach that approximates the zero-norm by a DC function, and the resulting optimizations are posed as DC programs…”
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Adaptive robust learning framework for twin support vector machine classification Autor Ma, Jun, Yang, Liming, Sun, Qun

“…In general, introducing robust distance metrics and loss functions in the learning process can improve the robustness of the algorithms…”
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A DC programming approach for finding communities in networks Autor 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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Joint Secure AF Relaying and Artificial Noise Optimization: A Penalized Difference-of-Convex Programming Framework Autor Jiaxin Yang, Qiang Li, Yunlong Cai, Yulong Zou, Hanzo, Lajos, Champagne, Benoit

“…Owing to the vulnerability of relay-assisted communications, improving wireless security from a physical layer signal processing perspective is attracting…”
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