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许震. 基于KL距离的半监督分类算法[D]. 上海: 复旦大学, 2010.
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[2] |
李中魁. 基于动态阈值的网络流量异常检测方法研究与实现[D]. 成都: 电子科技大学, 2010.
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李开灿. Pearson-χ2距离的若干性质[J]. 数学的实践与认识, 2003, 33(1): 49-53.LiK C. On the properties of the distance of Pearson-χ2[J]. Mathematics in Practice and theory, 2003, 33(1): 49-53.
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于春蕾. 基于非参数统计的判别分析[D]. 济南: 山东大学, 2013.
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[5] |
牛君. 基于非参数密度估计点样本分析建模的应用研究[D]. 济南: 山东大学, 2007.
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[6] |
Rubner Y, Tomasi C, Guibas L J. The Earth Mover’s distance as a metric for image retrieval[J]. International Journal of Computer Vision, 2000, 40(2): 99-121.
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Rubner Y, Tomasi C, Guibas L J. A metric for distributions with applications to image databases[C] // Proceedings of the International Conference on Computer Vision. Bombay, India: Narosa Publishing House, 1998: 59-66.
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[8] |
Hillier F S, Lieberman G J. Introduction to Mathematical Programming[M]. New York: McGraw-Hill, 1990.
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[9] |
Ling H B, Okada K. An efficient earth mover's distance algorithm for robust histogram comparison[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007, 29(5): 840-853.)
|
[1] |
许震. 基于KL距离的半监督分类算法[D]. 上海: 复旦大学, 2010.
|
[2] |
李中魁. 基于动态阈值的网络流量异常检测方法研究与实现[D]. 成都: 电子科技大学, 2010.
|
[3] |
李开灿. Pearson-χ2距离的若干性质[J]. 数学的实践与认识, 2003, 33(1): 49-53.LiK C. On the properties of the distance of Pearson-χ2[J]. Mathematics in Practice and theory, 2003, 33(1): 49-53.
|
[4] |
于春蕾. 基于非参数统计的判别分析[D]. 济南: 山东大学, 2013.
|
[5] |
牛君. 基于非参数密度估计点样本分析建模的应用研究[D]. 济南: 山东大学, 2007.
|
[6] |
Rubner Y, Tomasi C, Guibas L J. The Earth Mover’s distance as a metric for image retrieval[J]. International Journal of Computer Vision, 2000, 40(2): 99-121.
|
[7] |
Rubner Y, Tomasi C, Guibas L J. A metric for distributions with applications to image databases[C] // Proceedings of the International Conference on Computer Vision. Bombay, India: Narosa Publishing House, 1998: 59-66.
|
[8] |
Hillier F S, Lieberman G J. Introduction to Mathematical Programming[M]. New York: McGraw-Hill, 1990.
|
[9] |
Ling H B, Okada K. An efficient earth mover's distance algorithm for robust histogram comparison[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007, 29(5): 840-853.)
|