机构

• 数学与系统科学研究院 [9]
• 自动化研究所 [5]
• 长春光学精密机械与物... [1]
• 遥感与数字地球研究所 [1]
• 武汉物理与数学研究所 [1]

采集方式

• OAI收割 [17]

内容类型

• 期刊论文 [15]
• 会议论文 [2]

发表日期

• 2020 [1]
• 2018 [2]
• 2017 [5]
• 2014 [1]
• 2012 [2]
• 2010 [1]
• 更多

学科主题

筛选

浏览/检索结果: 共17条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Single-image super-resolution via joint statistic models-guided deep auto-encoder network 期刊论文  OAI收割 NEURAL COMPUTING & APPLICATIONS, 2020, 卷号: 32, 期号: 9, 页码: 4885-4896 作者:  Chen, Rong;  Qu, Yanyun;  Li, Cuihua;  Zeng, Kun;  Xie, Yuan   |  收藏  |  浏览/下载：29/0  |  提交时间：2020/06/22 Non-local similarity  Split Bergman iteration  Steering kernel regression  Single-image super-resolution   Discrete-Time Local Value Iteration Adaptive Dynamic Programming: Convergence Analysis 期刊论文  OAI收割 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2018, 卷号: 48, 期号: 6, 页码: 875-891 作者:  Wei, Qinglai;  Lewis, Frank L.;  Liu, Derong;  Song, Ruizhuo;  Lin, Hanquan   |  收藏  |  浏览/下载：67/0  |  提交时间：2017/02/23 Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Local Iteration  Neural Networks  Neuro-dynamic Programming  Nonlinear Systems  Optimal Control   Existence and convexity of local solutions to degenerate Hessian equations 期刊论文  OAI收割 JOURNAL OF DIFFERENTIAL EQUATIONS, 2018, 卷号: 264, 期号: 10, 页码: 6025-6060 作者:  Tian, Guji;  Xu, Chao-Jiang   |  收藏  |  浏览/下载：16/0  |  提交时间：2018/11/05 Degenerate Hessian Equations  Local Solution  Convex Solution  Nash-moser-hormander Iteration   Modulus-based multigrid methods for linear complementarity problems 期刊论文  OAI收割 NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS, 2017, 卷号: 24, 期号: 6, 页码: 15 作者:  Bai, Zhong-Zhi;  Zhang, Li-Li   |  收藏  |  浏览/下载：24/0  |  提交时间：2018/07/30 asymptotic convergence factor  linear complementarity problem  local Fourier analysis  modulus-based matrix splitting iteration  multigrid method   Discrete-Time Local Value Iteration Adaptive Dynamic Programming: Admissibility and Termination Analysis 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 卷号: 28, 期号: 11, 页码: 2490-2502 作者:  Wei, Qinglai;  Liu, Derong;  Lin, Qiao   |  收藏  |  浏览/下载：30/0  |  提交时间：2017/02/23 Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Local Iteration  Neural Networks  Neurodynamic Programming  Nonlinear Systems  Optimal Control   On local quadratic convergence of inexact simplified Jacobi-Davidson method for interior eigenpairs of Hermitian eigenproblems 期刊论文  OAI收割 APPLIED MATHEMATICS LETTERS, 2017, 卷号: 72, 页码: 23-28 作者:  Bai, Zhong-Zhi;  Miao, Cun-Qiang   |  收藏  |  浏览/下载：16/0  |  提交时间：2018/07/30 Hermitian eigenproblem  Jacobi-Davidson method  Inexact iteration  Standard Krylov subspace iteration  Local convergence   Discrete-Time Optimal Control via Local Policy Iteration Adaptive Dynamic Programming 期刊论文  OAI收割 IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 10, 页码: 3367-3379 作者:  Wei, Qinglai;  Liu, Derong;  Lin, Qiao;  Song, Ruizhuo   |  收藏  |  浏览/下载：26/0  |  提交时间：2017/02/23 Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Local Policy Iteration  Neuro-dynamic Programming  Nonlinear Systems  Optimal Control   On local quadratic convergence of inexact simplified Jacobi-Davidson method 期刊论文  OAI收割 LINEAR ALGEBRA AND ITS APPLICATIONS, 2017, 卷号: 520, 页码: 215-241 作者:  Bai, Zhong-Zhi;  Miao, Cun-Qiang   |  收藏  |  浏览/下载：12/0  |  提交时间：2018/07/30 Hermitian eigenproblem  Jacobi-Davidson method  Inexact iteration  Standard Krylov subspace iteration  Local convergence   Single image super-resolution using combined total variation regularization by split Bregman Iteration 期刊论文  OAI收割 NEUROCOMPUTING, 2014, 卷号: 142, 页码: 551-560 作者:  Li, Lin;  Xie, Yuan;  Hu, Wenrui;  Zhang, Wensheng 收藏  |  浏览/下载：33/0  |  提交时间：2015/09/18 Super-resolution  Total variation  Steering kernel regression  Split Bregman iteration  Local structural regularity  Non-local self-similarity   Classification of hyperspectral image based on SVM optimized by a new particle swarm optimization (EI CONFERENCE) 会议论文  OAI收割 2012 2nd International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2012, June 1, 2012 - June 3, 2012, Nanjing, China 作者:  Gao X.;  Yu P.;  Yu P. 收藏  |  浏览/下载：19/0  |  提交时间：2013/03/25 Support Vector Machine (SVM) is used to classify hyperspectral remote sensing image in this paper. Radial Basis Function (RBF)  which is most widely used  is chosen as the kernel function of SVM. Selection of kernel function parameter is a pivotal factor which influences the performance of SVM. For this reason  Particle Swarm Optimization (PSO) is provided to get a better result. In order to improve the optimization efficiency of kernel function parameter  firstly larger steps of grid search method is used to find the appropriate rang of parameter. Since the PSO tends to be trapped into local optimal solutions  a weight and mutation particle swam optimization algorithm was proposed  in which the weight dynamically changes with a liner rule and the global best particle mutates per iteration to optimize the parameters of RBF-SVM. At last  a 220-bands hyperspectral remote sensing image of AVIRIS is taken as an experiment  which demonstrates that the method this paper proposed is an effective way to search the SVM parameters and is available in improving the performance of SVM classifiers. 2012 IEEE.