Face recognition with adaptive local hyperplane algorithm

@article{Yang2008FaceRW,
  title={Face recognition with adaptive local hyperplane algorithm},
  author={Tao Yang and Vojislav Kecman},
  journal={Pattern Analysis and Applications},
  year={2008},
  volume={13},
  pages={79-83}
}
The paper introduces a novel adaptive local hyperplane (ALH) classifier and it shows its superior performance in the face recognition tasks. Four different feature extraction methods (2DPCA, (2D)2PCA, 2DLDA and (2D)2LDA) have been used in combination with five classifiers (K-nearest neighbor (KNN), support vector machine (SVM), nearest feature line (NFL), nearest neighbor line (NNL) and ALH). All the classifiers and feature extraction methods have been applied to the renown benchmarking face… CONTINUE READING
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