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L1-Norm Kernel Discriminant Analysis via Bayes Error Bound Optimization for Robust Feature Extraction

机译：基于贝叶斯误差界限优化的鲁棒特征提取L1范数核判别分析

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Wenming Zheng; Zhouchen Lin; Senior Member; Haixian Wang;
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年度 2015
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专利

1. L1-Norm Kernel Discriminant Analysis Via Bayes Error Bound Optimization for Robust Feature Extraction [J] . Neural Networks and Learning Systems, IEEE Transactions on . 2014,第4期

机译：基于贝叶斯误差界优化的L1-Norm核判别分析，用于鲁棒特征提取
2. Robust kernel discriminant analysis and its application to feature extraction and recognition [J] . Zhizheng Liang, David Zhang, Pengfei Shi Neurocomputing . 2006,第7a9期

机译：鲁棒的内核判别分析及其在特征提取与识别中的应用
3. Kernel Self-optimized Locality Preserving Discriminant Analysis for feature extraction and recognition [J] . Jun-Bao Li, Jeng-Shyang Pan, Shyi-Ming Chen Neurocomputing . 2011,第17期

机译：核自优化局部性判别分析用于特征提取与识别
4. An Improved Linear Discriminant Analysis with L1-Norm for Robust Feature Extraction [C] . Chen Xiaobo, Yang Jian, Jin Zhong International Conference on Pattern Recognition . 2014

机译：改进的带有L1-范数的线性判别分析，用于鲁棒特征提取
5. Bayes optimality in classification, feature extraction and shape analysis. [D] . Hamsici, Onur C. 2008

机译：分类，特征提取和形状分析中的贝叶斯最优性。
6. Kernel Optimization in Discriminant Analysis [O] . Di You, Onur C. Hamsici, Aleix M. Martinez -1

机译：内核优化判别分析
7. Robust kernel discriminant analysis and its application to feature extraction and recognition [O] . Liang Z, Zhang D, Shi P 2006

机译：鲁棒的内核判别分析及其在特征提取与识别中的应用
8. Nonparametric Discriminant Analysis Applied to the Extraction and Selection of Radar Target Signature Features [R] . Snorrason, O., Garber, F. D. 1987

机译：非参数判别分析在雷达目标特征提取与选择中的应用

L1-Norm Kernel Discriminant Analysis via Bayes Error Bound Optimization for Robust Feature Extraction

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