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A decision-boundary-oriented feature selection method and its application to face recognition

机译:面向决策边界的特征选择方法及其在人脸识别中的应用

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摘要

A novel feature selection scheme is proposed. We construct a piecewise linear decision boundary, and find a feature sub-space suitable to the constructed boundary. Experimental results show that the proposed scheme outperforms conventional algorithms from the viewpoint of recognition accuracy.
机译:提出了一种新颖的特征选择方案。我们构造分段线性决策边界,并找到适合于所构造边界的特征子空间。实验结果表明,从识别精度的角度来看,该方案优于传统算法。

著录项

  • 来源
    《Pattern recognition letters》 |2009年第13期|1166-1174|共9页
  • 作者单位

    Division of Electrical Engineering, School of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology (KAIST), 373-1 Cuseong-Dong, Yuseong-Gu, Daejeon 305-701, Republic of Korea;

    Division of Electrical Engineering, School of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology (KAIST), 373-1 Cuseong-Dong, Yuseong-Gu, Daejeon 305-701, Republic of Korea;

    Division of Electrical Engineering, School of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology (KAIST), 373-1 Cuseong-Dong, Yuseong-Gu, Daejeon 305-701, Republic of Korea;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    piecewise linear decision boundary; face recognition; linear discriminant analysis; elemental direction preserving discriminant analysis;

    机译:分段线性决策边界人脸识别;线性判别分析;元素方向保留判别分析;

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