Penalized Fisher discriminant analysis and its application to image-based morphometry

@article{Wang2011PenalizedFD,
  title={Penalized Fisher discriminant analysis and its application to image-based morphometry},
  author={Wei Wang and Yilin Mo and John A. Ozolek and Gustavo K. Rohde},
  journal={Pattern recognition letters},
  year={2011},
  volume={32 15},
  pages={2128-2135}
}
Image-based morphometry is an important area of pattern recognition research, with numerous applications in science and technology (including biology and medicine). Fisher Linear Discriminant Analysis (FLDA) techniques are often employed to elucidate and visualize important information that discriminates between two or more populations. We demonstrate that the direct application of FLDA can lead to undesirable errors in characterizing such information and that the reason for such errors is not… CONTINUE READING
Highly Cited
This paper has 24 citations. REVIEW CITATIONS
14 Citations
37 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 14 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 37 references

Mullers, Fisher discriminant analysis with kernels

  • S. Mika, G. Ratsch, J. Weston, K. B. Scholkopf
  • in: Proceedings of the 1999 IEEE Signal…
  • 1999
Highly Influential
4 Excerpts

The use of multiple measurements in taxonomic problems

  • R. A. Fisher
  • Annals of Eugenics
  • 1936
Highly Influential
15 Excerpts

Buck - ner , Collaborative computational anatomy : an mri morphometry study of the human brain via diffeomorphic metric mapping

  • C. E. Priebe, A. Kolasny, +5 authors L. R.
  • Hum Brain Mapp
  • 2009

Similar Papers

Loading similar papers…