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25篇 您的检索式:作者名="Fuhui Long"
    题名 作者 年代 出处 被引量
1Feature selection based on mu- tual information : criteria of max-dependency, max-relevance and min- redundancy显示文摘Peng Hanchuan Long Fuhui Ding C 2005IEEE Trans on Pattern Analysis and Machine In- telligence2005,2,8:1
2Feature selection based mutual information : Titeria of Max-dependency, Max- Relevance, and Min-Redundancy 显示文摘Peng Hanchuan Long Fuhui Ding Chris 2005IEEE Trans Pattern Analysis and Machine Intelligence2005,27,8:1
3Minimum redundancy maximum relevance feature selection 显示文摘Peng Hanchuan Ding Chris Long Fuhui 2005IEEE Intelligent Systems2005,20,6:1
4Feature selection based onmutual information criteria of max - dependency, max -relevance, and min - redundancy 显示文摘Peng Hanchuan Long Fuhui 2005Pattern Analysisand Machine Intelligence2005,27,8:1
5Feature selection based on mutual information: criteria of max-dependency, max- relevance, and min-redundancy显示文摘PENG HANCHUAN LONG FUHUI DING C 2005IEEE Transactions on Pattern analysis and Machine Intelligence2005,27,8:1
6Document image recognition based on template matching of component block projections 显示文摘PENG Hanchuan LONG Fuhui CHI Zheru 2003Pattern Analysis and Machine Intelligence2003,25,9:1
7Extracting Semantic Video Objects显示文摘Fuhui Long 2001Computer Graphics and Applications IEEE2001,21,1:1
8Feature Selection Based on Mutual Information:Criteria of Max-Dependency, Max- Relevance,and Min-Redundacy显示文摘Hanchuan Peng Fuhui Long Chris Ding 2005IEEE TRANSACTION ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE2005,27,2:1
9Feature selection based on mutual information:Criteria of max-dependency,max-relevance,and min-redundancy显示文摘Hanchuan Peng Member IEEE Fuhui Long Chris Ding 2005IEEE Transactions on Pattern Analysis and Machine Intelligence2005,27,8:1
10Feature selection based on mutual information criteria of max- dependency, max-relevance and min-redundancy显示文摘Peng Hanchuan Long Fuhui Ding Chris 2005IEEE Transactions on Pattern Analysis and Machine Intelligence2005,27,8:1
11Feature selection based on mutual information criteria of max-dependency,max-relevance and min-redundancy显示文摘Hanchuan Peng Fuhui Long Chris Ding 2005IEEE Transactions on pattern analysis and machine intelligence2005,27,8:1
12Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy显示文摘Peng Hanchuan Long Fuhui Ding Chris 2005IEEE Trans on Pattern Analysis and Machine Intelligence2005,27,8:1
13Document image recognition based on template matching of component block projections 显示文摘Peng Hanchuan Long Fuhui Chi Zheru 2003IEEE Transactions on Pattern Analysis and Machine Intelligence2003,25,9:1
14Feature selectionbased on mutual information: Criteria of max-dependency,max-relevance,and min-redundancy 显示文摘Peng Hanchuan Long Fuhui Ding Chris 2005IEEE Transactions onPattern Analysis and Machine Intelligence2005,27,8:1
15Feature selection based on mutual information: Criteria of max-depenedency, max-relevance, and rain-redundancy 显示文摘Peng Hanchuan Long Fuhui Ding Chris 2005IEEE Trans on Pattern Analysis and Machine Intelligence2005,27,8:1
16Feature Selection Based onMutual Information:Criteria of Max-dependency,Max-relevance,and Min-redundancy显示文摘Peng Hanchuan Long Fuhui Ding C 2005IEEE Transactions on Pattern Analysisand Machine Intelligence2005,27,8:1
17Document image template matching based on component block list显示文摘PENG Hanchuan LONG Fuhui CHI Zheru 2001Pattern Recognition Letters2001,22,9:1
18Feature selection based on mutual information:criteria of max-dependency,max-relevance,and min-redundancy显示文摘Peng Hangchuan Long Fuhui Ding Chris 2005IEEE Transactions on Pattern Analysis and Machine Intelligence2005,27,8:1
19Document image recognition based on template matching of component block projections显示文摘PENG Hanchuan LONG Fuhui CHI Zheru 2003Trans on Pattern Analysis and Machine Intelligence IEEE2003,25,9:1
20Feature Selection Based on Mutual Information: Criteria of Max-dependency, Max- relevance, and Min-redundancy显示文摘Peng Huangchuan Long Fuhui Ding C 2005IEEE Transactions on Pattern Analysis and Machine Intelligence2005,27,8:1
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