中国科学院机构知识库网格系统: 检索

Quantile Regression under Local Misspecification 期刊论文 OAI收割
ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES, 2020, 卷号: 36, 期号: 4, 页码: 790-802
作者: Duan, Xiao-gang; Wang, Qi-hua

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收藏 | 浏览/下载：24/0 | 提交时间：2021/04/26

frequentist model averaging focus information criterion local framework quantile regression

Processing corrective focus and information focus at different positions: an electrophysiological investigation 期刊论文 OAI收割
LANGUAGE COGNITION AND NEUROSCIENCE, 2019, 卷号: 34, 期号: 8, 页码: 1059-1072
作者: Zheng, Z. L.; Yang, X. H.; Li, W. J.

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收藏 | 浏览/下载：73/0 | 提交时间：2019/09/10

Information focus corrective focus Event-related potentials (ERPs) position

Temporal and spatial distribution characteristics in the natural plague foci of Chinese Mongolian gerbils based on spatial autocorrelation 期刊论文 OAI收割
INFECTIOUS DISEASES OF POVERTY, 2017, 卷号: 6, 页码: 10
作者: Du, Hai-Wen; Wang, Yong; Zhuang, Da-Fang; Jiang, Xiao-San

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收藏 | 浏览/下载：37/0 | 提交时间：2019/09/25

Geographic information system Temporal and spatial distribution Spatial autocorrelation Moran's I Body fleas Plague natural focus of Mongolian gerbils China

Temporal and spatial distribution characteristics in the natural plague foci of Chinese Mongolian gerbils based on spatial autocorrelation 期刊论文 OAI收割
INFECTIOUS DISEASES OF POVERTY, 2017, 卷号: 6, 页码: 10
作者: Du, Hai-Wen; Wang, Yong

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收藏 | 浏览/下载：36/0 | 提交时间：2019/09/25

Geographic information system Temporal and spatial distribution Spatial autocorrelation Moran's I Body fleas Plague natural focus of Mongolian gerbils China

Temporal and spatial distribution characteristics in the natural plague foci of Chinese Mongolian gerbils based on spatial autocorrelation 期刊论文 OAI收割
INFECTIOUS DISEASES OF POVERTY, 2017, 卷号: 6, 页码: 10
作者: Du, Hai-Wen; Wang, Yong; Zhuang, Da-Fang; Jiang, Xiao-San

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收藏 | 浏览/下载：13/0 | 提交时间：2019/09/25

Geographic information system Temporal and spatial distribution Spatial autocorrelation Moran's I Body fleas Plague natural focus of Mongolian gerbils China

A review on the cognitive function of information structure during language comprehension 期刊论文 OAI收割
COGNITIVE NEURODYNAMICS, 2014, 卷号: 8, 期号: 5, 页码: 353-361
作者: Wang, Lin; Li, Xiaoqing; Yang, Yufang

收藏 | 浏览/下载：29/0 | 提交时间：2015/09/18

Information structure Focus Attention Language processing ERP fMRI

Distinguish between focus and newness: An ERP study 期刊论文 OAI收割
JOURNAL OF NEUROLINGUISTICS, 2014, 卷号: 31, 期号: 0, 页码: 28-41
作者: Chen, Lijing; Wang, Lin; Yang, Yufang

收藏 | 浏览/下载：30/0 | 提交时间：2015/09/18

Focus Newness 'Shi' Information structure ERPs Discourse processing

Multi-focus image fusion algorithm based on adaptive PCNN and wavelet transform (EI CONFERENCE) 会议论文 OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications, May 24, 2011 - May 26, 2011, Beijing, China
Wu Z.-G.; Wang M.-J.; Han G.-L.

收藏 | 浏览/下载：72/0 | 提交时间：2013/03/25

Being an efficient method of information fusion image fusion has been used in many fields such as machine vision medical diagnosis military applications and remote sensing.In this paper Pulse Coupled Neural Network (PCNN) is introduced in this research field for its interesting properties in image processing including segmentation target recognition et al. and a novel algorithm based on PCNN and Wavelet Transform for Multi-focus image fusion is proposed. First the two original images are decomposed by wavelet transform. Then based on the PCNN a fusion rule in the Wavelet domain is given. This algorithm uses the wavelet coefficient in each frequency domain as the linking strength so that its value can be chosen adaptively. Wavelet coefficients map to the range of image gray-scale. The output threshold function attenuates to minimum gray over time. Then all pixels of image get the ignition. So the output of PCNN in each iteration time is ignition wavelet coefficients of threshold strength in different time. At this moment the sequences of ignition of wavelet coefficients represent ignition timing of each neuron. The ignition timing of PCNN in each neuron is mapped to corresponding image gray-scale range which is a picture of ignition timing mapping. Then it can judge the targets in the neuron are obvious features or not obvious. The fusion coefficients are decided by the compare-selection operator with the firing time gradient maps and the fusion image is reconstructed by wavelet inverse transform. Furthermore by this algorithm the threshold adjusting constant is estimated by appointed iteration number. Furthermore In order to sufficient reflect order of the firing time the threshold adjusting constant is estimated by appointed iteration number. So after the iteration achieved each of the wavelet coefficient is activated. In order to verify the effectiveness of proposed rules the experiments upon Multi-focus image are done. Moreover comparative results of evaluating fusion quality are listed. The experimental results show that the method can effectively enhance the edge details and improve the spatial resolution of the image. 2011 SPIE.

Mapping the research on scientific collaboration 期刊论文 OAI收割
chinese journal of library and information science, 2010, 卷号: 3, 期号: 1, 页码: 1-19
HOU Jianhua; CHEN Chaomei; YAN Jianxin

收藏 | 浏览/下载：17/0 | 提交时间：2012/09/18

Scientific collaboration Research focus Research front Information visualization CiteSpace

面向网状信息的Radial+Focus可视化 期刊论文 OAI收割
计算机应用研究, 2010, 卷号: 27, 期号: 10, 页码: 3750-3753,3766
汪恭正; 滕东兴; 王子璐; 王宏安; 戴国忠

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收藏 | 浏览/下载：17/0 | 提交时间：2011/05/24

网状信息 Radial+Focus可视化先验重要度交互历史布局算法network information Radial + Focus visualization degree of priority importance interaction history layout algorithm