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L-1/2 Regularization: A Thresholding Representation Theory and a Fast Solver
ISSN号:2162-237X
期刊名称:IEEE Transactions on Neural Networks and Learning
时间:2012.7.7
页码:1013-1027
相关项目:压缩感知的L(1/2)正则化理论及其稀疏微波成像
作者:
Xu, Zongben|Chang, Xiangyu|Xu, Fengmin|Zhang, Hai|
同期刊论文项目
压缩感知的L(1/2)正则化理论及其稀疏微波成像
期刊论文 21
会议论文 1
同项目期刊论文
基于S(1/2)建模的稳健稀疏–低秩矩阵分解
Learning Capability of Relaxed Greedy Algorithms.
Passage method for nonlinear dimensionality reduction of data on multi-cluster manifolds
Learning rates of regularized regression on the unit sphere
Almost optimal estimates for approximation and learning by radial basis function networks
L(1/2) regularization: Convergence of iterative half thresholding algorithm
基于SCAD罚函数的有噪压缩感知
Sparse solution of underdetermined linear equations via adaptively iterative thresholding
Fast image deconvolution using closed-form thresholding formulas of L(q)(q=1/2, 2/3) regularization.
Fast compressed sensing SAR imaging based on approximated observations
Sparse logistic regression with a L(1/2) penality gene selection in cancer classification
Efficient DPCA SAR imaging with fast iterative spectrum reconstruction method
Sparse SAR imaging based on L (1/2) regularization
Representative of L(1/2) Regularization among L(q) (0<q 1) regularizations: An experimental study
Accelerated L(1/2) regularization based SAR imaging via SCR and reduced Newton skills
Variational-Inference-Based Data Detection for OFDM Systems With Imperfect Channel Estimation.
构建一类新网络簇的可靠性控制集
字典乘积图的Euler性