Two-Dimensional Linear Discriminant Analysis

@inproceedings{Ye2004TwoDimensionalLD,
  title={Two-Dimensional Linear Discriminant Analysis},
  author={Jieping Ye and Ravi Janardan and Qi Li},
  booktitle={NIPS},
  year={2004}
}
Linear Discriminant Analysis (LDA) is a well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional data, such as face recognition and image retrieval. An intrinsic limitation of classical LDA is the so-called singularity problem, that is, it fails when all scatter matrices are… CONTINUE READING

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