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检索条件"机构=The Key Laboratory of Intelligent Computing and Signal Processing"
3684 条 记 录,以下是3631-3640 订阅
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Granular theorem of quotient space in image segmentation
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Jisuanji Xuebao/Chinese Journal of Computers 2005年 第10期28卷 1680-1685页
作者: Liu, Ren-Jin Huang, Xian-Wu Department of Computer Science and Technology West Anhui University Lu'an 237012 China Laboratory of Intelligent Computing and Signal Processing Anhui University Hefei 230039 China School of Electronic and Information Engineering Soochow University Suzhou 215006 China
Based on the quotient space granular theorem, the image segmentation concept is analyzed and the image segmentation methods are studied, and then the quotient space granular theorem of image segmentation is demonstrat... 详细信息
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Modeling the growth of future web
Modeling the growth of future web
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Thirteenth International World Wide Web Conference Proceedings, WWW2004
作者: Zhuge, Hai Chen, Xue Li, Xiang Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China
The future Web cart be imagined as a life network consisting of resource nodes and semantic relationship links between them. Any node has a life span from birth - adding it to the network - to death - removing it from... 详细信息
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An automatic semantic relationships discovery approach
An automatic semantic relationships discovery approach
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Thirteenth International World Wide Web Conference Proceedings, WWW2004
作者: Zhuge, Hai Zheng, Liping Zhang, Nan Li, Xiang Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China
An important obstacle to the success of the Semantic Web is that the establishment of the semantic relationship is labor-intensive. This paper proposes an automatic semantic relationship discovering approach for const... 详细信息
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Sparse bayesian learning based on an efficient subset selection
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International Symposium on Neural Networks, ISNN 2004
作者: Bo, Liefeng Wang, Ling Jiao, Licheng Institute of Intelligent Information Processing and National Key Laboratory for Radar Signal Processing Xidian University Xi’an710071 China
Based on rank-1 update, Sparse Bayesian Learning Algorithm (SBLA) is proposed. SBLA has the advantages of low complexity and high sparseness, being very suitable for large scale problems. Experiments on synthetic and ... 详细信息
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An automatic semantic relationships discovery approach  04
An automatic semantic relationships discovery approach
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13th International World Wide Web Conference on Alternate Track, Papers and Posters, WWW Alt. 2004
作者: Zhuge, Hai Zheng, Liping Zhang, Nan Li, Xiang China Knowledge Grid Research Group Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China
An important obstacle to the success of the Semantic Web is that the establishment of the semantic relationship is labor-intensive. This paper proposes an automatic semantic relationship discovering approach for const... 详细信息
来源: 评论
Modeling the growth of future web1  13
Modeling the growth of future web1
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13th International World Wide Web Conference on Alternate Track, Papers and Posters, WWW Alt. 2004
作者: Zhuge, Hai Chen, Xue Li, Xiang China Knowledge Grid Research Group Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China
The future Web can be imagined as a life network consisting of resource nodes and semantic relationship links between them. Any node has a life span from birth -?adding it to the network -?to death -?removing it from ... 详细信息
来源: 评论
Greedy EM algorithm for robust t-mixture modeling
Greedy EM algorithm for robust t-mixture modeling
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International Conference on Image and Graphics (ICIG)
作者: Sibao Chen Haixian Wang Bin Luo Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education Anhui University Hefei China
This paper concerns a greedy EM algorithm for t-mixture modeling, which is more robust than Gaussian mixture modeling when a typical points exist or the set of data has heavy tail. Local Kullback divergence is used to... 详细信息
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Journal of Information Science and Engineering: Editorial notice
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Journal of Information Science and Engineering 2005年 第5期21卷 i-ii页
作者: Lee, Der-Tsai Amato, Nancy M. Chang, Shih-Fu Chen, Homer H. Chen, Tsuhan Hsu, Tsan-Sheng Hwang, Jenq-Neng Kuo, Sy-Yen Kuo, Tei-Wei Li, Chung-Sheng Tokuyama, Takeshi Wing, Jeannette Wu, Tzong-Chen Yen, John Computer Science at Texas A and M University United States Parasol Laboratory United States IEEE Transactions on Parallel and Distributed Systems Computing Research Association's Committee on the Status of Women in Computing Research CRA-W's Distributed Mentor Program United States Department of Electrical Engineering Columbia University United States Lab. United States College of Electrical Engineering and Computer Science National Taiwan University Taiwan IEEE Transactions on Circuits and Systems for Video Technology IEEE Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA United States ACM ACM SIGACT IEEE Computer Society IICM Austria Research and Development of the Department Multimedia Signal Processing Technical Committee IEEE Signal Processing Society United States IEEE Transactions on Circuits and systems for Video Technology College of Electrical Engineering and Computer Science National Taiwan Ocean University Keelung Taiwan Department of Electrical Engineering National Taiwan University Taiwan Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan IEEE Technical Committee on Real-Time Systems Computer Science Division IBM T.J. Watson Research Center United States IBM Research Division Graduate School of Information Sciences Tohoku University Japan ACM IPSJ Mathematical Society of Japan Japan Department of Computer Science Computer Science Department Carnegie Mellon University United States National Academies of Science's Computer Science and Telecommunications Board United States Microsoft's Trustworthy Academic Advisory Board Intel Research Pittsburgh's Advisory Board United States Dartmouth's Institute for Security Technology Studies Advisory Committee Canada Sloan Research Fellowships Program Committee United States ACM Taiwan China Information Sciences and Technology Pennsylvania State University United States Laboratory for Intelligent Agents Penn State's School of Info
No abstract available
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Rough set based image texture recognition algorithm
Rough set based image texture recognition algorithm
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8th International Conference on Knowledge-Based intelligent Information and Engineering Systems, KES 2004
作者: Zheng, Zheng Hu, Hong Shi, Zhong Zhi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China Graduate School of the Chinese Academy of Sciences Beijing China
Rough set theory is emerging as a new tool for dealing with fuzzy and uncertain data. In recent years, it has been successfully applied in such fields as machine learning, data mining, knowledge acquiring, etc. In thi... 详细信息
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A stereo matching algorithm based on multiresolution and epipolar constraint
A stereo matching algorithm based on multiresolution and epi...
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International Conference on Image and Graphics (ICIG)
作者: Wei Zhang Quanbing Zhang Lei Qu Sui Wei Key Laboratory of Intelligence Computing and Signal Processing Anhui University Hefei Anhui China
Stereo matching is one of the most active research areas in computer vision. In this paper, a fast stereo matching algorithm by means of epipolar constraint and multiresolution approach was presented. The searching sc... 详细信息
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