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	Fault detection and diagnosis for plasticizing process of single-base gun propellant using mutual information weighted mpca under limited batch samples modelling 期刊论文 OAI收割 Machines, 2021, 卷号: 9, 期号: 8, 页码: 1-24 作者: Yang MY(杨明毅); Wang JY(王军义); Zhang YL(张吟龙); Bai XL(白鑫林); Xu ZG(徐志刚) \| 收藏 \| 浏览/下载：33/0 \| 提交时间：2021/08/28 Bayesian inference Early warning of failure Fault detection and diagnosis Gun propellant Normalized mutual information Plasticizing process Principal component analysis
	Accurate matching method of multimodal image based on phase congruency and local mutual information 会议论文 OAI收割 International Symposium on Optoelectronic Technology and Application 2014, Beijing, China, May 13-15, 2014 作者: Zhao CY(赵春阳); Zhao HC(赵怀慈); Zhao G(赵刚) 收藏 \| 浏览/下载：33/0 \| 提交时间：2014/12/29 Multimodal Image Matching Monogenic Phase Congruency Edge Orientation Histogram Multi Candidate Point Matching Normalized Mutual Information
	A parallel algorithm for medical images registration based on B-splines (EI CONFERENCE) 会议论文 OAI收割 4th International Congress on Image and Signal Processing, CISP 2011, October 15, 2011 - October 17, 2011, Shanghai, China 作者: Zhang T. 收藏 \| 浏览/下载：23/0 \| 提交时间：2013/03/25 Cubic B-splines is widely applied in non-rigid registration because of its approximation performance and fast computational characteristics. However a small scale non-rigid deformation is needed to characterize by a large number of control points. Moreover an iterative optimization strategy of the non-rigid registration algorithm and the normalized mutual information (NMI) cost a great quantity calculation. So the process of the non-rigid registration is slowed by calculations of NMI in a iterative optimization strategy. In this paper a parallel optimization algorithm based on cubic B-splines functions is proposed to parallelize the optimization algorithm of the nonrigid registration and the calculations of normalize mutual information. In practice a fast algorithm of cubic B-splines is used and the control points are only distributed on the targets. Experiments show that the use of the fast algorithm and the parallel optimization strategy improves the non-rigid registration process of medical images. 2011 IEEE.
	基于互信息与先验信息的机器学习方法研究学位论文 OAI收割工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2008 作者: 王泳收藏 \| 浏览/下载：90/0 \| 提交时间：2015/09/02 机器学习先验信息归一化互信息人工神经元网络模型构造模型选择模式识别回归分析 machine learning prior knowledge normalized mutual information artificial neural networks model construction model selection pattern recognition regression