Fisher ’ s linear discriminant ( FLD ) and support vector machine ( SVM ) in non-negative matrix factorization ( NMF ) residual space for face recognition

@inproceedings{Zhou2010FisherS,
  title={Fisher ’ s linear discriminant ( FLD ) and support vector machine ( SVM ) in non-negative matrix factorization ( NMF ) residual space for face recognition},
  author={Changjun Zhou and Xiaopeng Wei and Qiang Zhang and Xiaoyong Fang},
  year={2010}
}
A novel method of Fisher’s linear discriminant (FLD) in the residual space is put forward for the representation of face images for face recognition, which is robust to the slight local feature changes. The residual images are computed by subtracting the reconstructed images from the original face images, and the reconstructed images are obtained by performing non-negative matrix factorization (NMF) on original images. FLD is applied to the residual images for extracting FLD subspace and the… CONTINUE READING
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