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	Study on Information Diffusion Analysis in Social Networks and Its Applications 期刊论文 OAI收割 International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 4, 页码: 377-401 作者: Biao Chang; Tong Xu, Qi Liu; En-Hong Chen \| 收藏 \| 浏览/下载：26/0 \| 提交时间：2021/02/23 Information diffusion influence evaluation influence maximization information source detection social network.
	以用户为中心的互联网不良信息检测技术学位论文 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, 2010 作者: 朱明亮收藏 \| 浏览/下载：140/0 \| 提交时间：2015/09/02 互联网不良信息检测话题检测外部知识源个性化定制超链接功能分析信息主动搜索原型系统 Internet Harmful information detection topic detection external knowledge source customization link function analysis active search of information prototype system
	Multiwavelet based multispectral image fusion for corona detection (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Wang X.; Yang H.-J.; Sui Y.-X.; Yan F.; Yan F. 收藏 \| 浏览/下载：30/0 \| 提交时间：2013/03/25 Image fusion refers to the integration of complementary information provided by various sensors such that the new images are more useful for human or machine perception. Multiwavelet transform has simultaneous orthogonality symmetry compact support and vanishing moment which are not possible with scalar wavelet transform. Multiwavelet analysis can offer more precise image analysis than wavelet multiresolution analysis. In this paper a new image fusion algorithm based on discrete multiwavelet transform (DMWT) to fuse the dual-spectral images generated from the corona detection system is presented. The dual-spectrum detection system is used to detect the corona and indicate its exact location. The system combines a solar-blind UV ICCD with a visible camera where the UV image is useful for detecting UV emission from corona and the visible image shows the position of the corona. The developed fusion algorithm is proposed considering the feature of the UV and visible images adequately. The source images are performed at the pixel level. First a decomposition step is taken with the DMWT. After the decomposition step a pyramid for each source image in each level can be obtained. Then an optimized coefficient fusion rule consisting of activity level measurement coefficient combining and consistency verification is used to acquire the fused coefficients. This process reduces the impulse noise of UV image. Finally a new fused image is obtained by reconstructing the fused coefficients using inverse DMWT. This image fusion algorithm has been applied to process the multispectral UV/visible images. Experimental results show that the proposed method outperforms the discrete wavelet transform based approach.