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检索条件"机构=Image Processing and Image Communications Key Lab"
591 条 记 录,以下是361-370 订阅
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Symbolic transfer entropy analyzed sleep electroencephalogram
Symbolic transfer entropy analyzed sleep electroencephalogra...
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2013 International Conference on Information,Business and Education Technology(ICIBET 2013)
作者: Ruijun Chang Liu Yang Qiuping Chen Jun Wang Image Processing and Image Communications Key Lab College of Geo & Bio InformationNanjing Univ of Posts & Telecomm
The quality of sleep has a great relationship with health. The result of sleep stage classification is an important indicator to measure the quality of sleep. It was found that the symbolic transfer entropy about the ... 详细信息
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Object detection by clustering-based nonparametric kernel density estimation
Object detection by clustering-based nonparametric kernel de...
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作者: Hu, D. Hu, J. Education Ministry's Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications China Jiangsu Province's Key Lab of Image Procession and Image Communications Nanjing University of Posts and Telecommunications China
Nonparametric model is one of the popular ones for background modeling for its ability to adapt to changes quickly in dynamic environment and enable very sensitive detection of moving objects. However, the method is t... 详细信息
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Pathological Electrocardiogram Analysis based on Symbolic Relative Entropy
Pathological Electrocardiogram Analysis based on Symbolic Re...
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2013 International Conference on Bio-Medical Materials and Engineering(ICBME 2013)
作者: Jiakai Qiu Xiaoliang Huang Suyi Chang Yunxia Wang Jun Wang Image Processing and Image Communications Key Lab College of Geo & Bio InformationNanjing Univ of Posts & Telecomm
In this paper, symbolic relative entropy was used to analyze normal electrocardiogram(ECG), the ECG taken from patient with congestive heart failure(CHF) and Atrial fibrillation(AF) Statistical testing showed that the... 详细信息
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Research on moving object detection based on the Bayesian theory
Research on moving object detection based on the Bayesian th...
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作者: Hu, D. Liu, X. Education Ministry's Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications China Jiangsu Province's Key Lab of Image Procession and Image Communications Nanjing University of Posts and Telecommunications China
For effective and efficient detection of moving objects from complex surveillance scenarios, a novel integrated object detection scheme based on clustering and Bayesian theory is proposed in this paper. The algorithm ... 详细信息
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Network flow based collective behavior analysis
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2013 International Workshop on Behavior and Social Informatics and Computing, BSIC 2013
作者: Hu, Yuting Xie, Rong Zhang, Wenjun Institute of Image Communication and Network Engineering Shanghai Key Lab. of Digital Media Processing and Transmission Shanghai Jiao Tong University Shanghai China
With the large-scale activities increasing gradually, the intelligent video surveillance system becomes more and more popular and important. The trajectory identification and behavior analysis are very important techn... 详细信息
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Super-resolution based on two dictionary-pairs
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Sensors and Transducers 2013年 第10期157卷 289-294页
作者: Li, Xin Zhu, Xiuchang Jiangsu Province Key Lab on Image Processing and Image Communication Nanjing University of Posts and Telecommunications Nanjing 210003 China
For learning-based super-resolution reconstruction, the selection and training of dictionary play an important role in improving image reconstruction quality. A super-resolution algorithm based on two dictionary-pairs... 详细信息
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An efficient algorithm for feature selection with feature correlation
An efficient algorithm for feature selection with feature co...
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3rd Sino-Foreign-Interchange Workshop on Intelligent Science and Intelligent Data Engineering, IScIDE 2012
作者: Huang, Li-Li Tang, Jin Chen, Si-Bao Ding, Chris Luo, Bin School of Computer Science and Technology Anhui University 230601 China Key Lab of Industrial Image Processing and Analysis of Anhui Province Hefei 230039 Anhui China
Feature selection is an important component of many machine learning applications. In this paper, we propose a new robust feature selection method for multi-class multi-label learning. In particular, feature correlati... 详细信息
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image representation and recognition based on directed complex network model
Image representation and recognition based on directed compl...
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8th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2013
作者: Chen, Ying Tang, Jin Luo, Bin School of Computer Science and Technology Anhui University Hefei230601 China Key Lab of Industrial Image Processing and Analysis of Anhui Province Hefei230039 China
image structure representation is a vital technique in the image recognition. A novel image representation and recognition method based on directed complex network is proposed in this paper. Firstly, the key points ar... 详细信息
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A probability-based object tracking method
A probability-based object tracking method
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4th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2013
作者: Song, Xu Li, Guoqiang Li, Ying Zhang, Yanning Shaanxi Province Key Lab. of Speech and Image Information Processing Northwestern Polytechnical University Xi'an 710129 China Science and Technology on Electro-optic Control Laboratory Louyang 471009 China
Here we take advantage of the signal recovery power of Compressive Sensing (CS) to significantly reduce the computational complexity brought by the high-dimension image data, then an effective and efficient low-dimens... 详细信息
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The complexity of occupational stress electroencephalogram
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Occupational Diseases and Environmental Medicine 2013年 第1期1卷 1-3页
作者: Honger Tian Lili Cao Jun Wang Tian Xu Yongguo Zhan Ling Liu Image Processing and Image Communications Key Lab College of Geo & Bio Information Nanjing University of Posts & Tele- comm Nanjing China Key Laboratory of Environment Medicine and Engineering Ministry of Education School of Public Health Southeast University Nanjing China
It is an important method for using electroencephalogram (EEG) to detect and diagnose occupational Stress in clinical practice. In this paper, the complexity analysis method based on Jensen-Shannon Divergence was used... 详细信息
来源: 评论