Privacy-Preserving Linear Fisher Discriminant Analysis
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Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-540-68125-0_14.pdf
Reference17 articles.
1. Agrawal, R., Srikant, R.: Privacy-preserving data mining. In: Proceedings of the ACM SIGMOD, Dallas, Texas, United States, pp. 439–450 (2000)
2. Berkes, P.: Handwritten digit recognition with nonlinear fisher discriminant analysis. In: Proceedings of the International Conference on Artificial Neural Networks, pp. 285–287 (2005)
3. Du, W., Han, Y., Chen, S.: Privacy-preserving multivariate statistical analysis: Linear regression and classification. In: Proceedings of the 4th SIAM International Conference on Data Mining, Florida, April 22–24, 2004, pp. 222–233 (2004)
4. Duda, R.O., Hart, P.E., Stork, D.G.: Pattern classification, 2nd edn. Wiley-Interscience, Chichester (2000)
5. Fisher, R.A.: The use of multiple measurements in taxonomic problems. Annals of Eugenics 7, 179–188 (1936)
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