CASIA OpenIR

浏览/检索结果: 共4条,第1-4条 帮助

限定条件                    
已选(0)清除 条数/页:   排序方式:
Low-Discrepancy Blue Noise Sampling 期刊论文
ACM TRANSACTIONS ON GRAPHICS, 2016, 卷号: 35, 期号: 6, 页码: 247:1--247:13
作者:  Ahmed, Abdalla G. M.;  Perrier, Helene;  Coeurjolly, David;  Ostromoukhov, Victor;  Guo, Jianwei;  Yan, Dong-Ming;  Huang, Hui;  Deussen, Oliver
浏览  |  Adobe PDF(12493Kb)  |  收藏  |  浏览/下载:470/120  |  提交时间:2017/02/14
Blue Noise  Low Discrepancy  Sampling  Monte Carlo  Quasi-monte Carlo  
Geometric interpretation of nonlinear approximation capability for feedforward neural networks 期刊论文
ADVANCES IN NEURAL NETWORKS - ISNN 2004, PT 1, 2004, 卷号: 3173, 期号: 1, 页码: 7-13
作者:  Hu, BG;  Xing, HJ;  Yang, YJ;  Yin, FL;  Wang, J;  Guo, CG
浏览  |  Adobe PDF(116Kb)  |  收藏  |  浏览/下载:226/57  |  提交时间:2015/09/18
Neural Networks  
Neural-Network-Based Optimal Control for a Class of Nonlinear Discrete-Time Systems With Control Constraints Using the Iterative GDHP Algorithm 会议论文
International Joint Conference on Neural Networks (IJCNN), 2011
作者:  Liu, DR;  Wang, D;  Zhao, DB
Adobe PDF(434Kb)  |  收藏  |  浏览/下载:293/71  |  提交时间:2015/08/19
Geometry preserving multi-task metric learning 期刊论文
MACHINE LEARNING, 2013, 卷号: 92, 期号: 1, 页码: 133-175
作者:  Yang, Peipei;  Huang, Kaizhu;  Liu, Cheng-Lin
Adobe PDF(1626Kb)  |  收藏  |  浏览/下载:322/60  |  提交时间:2015/08/12
Multi-task Learning  Metric Learning  Geometry Preserving  Von Neumann Divergence  Bregman Matrix Divergence