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	Metabolomics Insights into the Modulatory Effects of Long-Term Low Calorie Intake in Mice 期刊论文 OAI收割 JOURNAL OF PROTEOME RESEARCH, 2016, 卷号: 15, 期号: 7, 页码: 2299-2308 作者: Wu, Junfang; Yang, Liu; Li, Shoufeng; Huang, Ping; Liu, Yong 收藏 \| 浏览/下载：48/0 \| 提交时间：2016/09/05 calorie restriction high fat diet NMI metabonomics long-term diet interventions
	基于光流法与特征统计的鱼群异常行为检测 CNKI期刊论文 OAI收割 2014 作者: 于欣; 侯晓娇; 卢焕达; 余心杰; 范良忠 \| 收藏 \| 浏览/下载：2/0 \| 提交时间：2024/12/18 水产养殖鱼群检测光流法标准互信息(NMI) 局部距离异常因子(LDOF)
	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：26/0 \| 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.