Handwritten Digit Recognition with Nonlinear Fisher Discriminant Analysis

Author:

Berkes Pietro

Publisher

Springer Berlin Heidelberg

Reference6 articles.

1. Mika, S., Rätsch, G., Weston, J., Schölkopf, B., Müller, K.R.: Fisher discriminant analysis with kernels. In: Hu, Y.H., Larsen, J., Wilson, E., Douglas, S. (eds.) Proceedings of the IEEE Signal Processing Society Workshop. Neural Networks for Signal Processing, vol. IX, pp. 41–48 (1999)

2. Baudat, G., Anouar, F.: Generalized discriminant analysis using a kernel approach. Neural Computation 12, 2385–2404 (2000)

3. Mika, S., Rätsch, G., Weston, J., Schölkopf, B., Smola, A., Müller, K.R.: Invariant feature extraction and classification in kernel spaces. In: Solla, S., Leen, T., Müller, K.R. (eds.) Advances in Neural Information Processing Systems, vol. 12, pp. 526–532 (2000)

4. Mika, S., Smola, A., Schölkopf, B.: An improved training algorithm for kernel Fisher discriminants. In: Jaakkola, T., Richardson, T. (eds.): Proceedings AISTATS 2001, pp. 98–104 (2001)

5. Bishop, C.M.: Neural Networks for Pattern Recognition. Oxford University Press, Oxford (1995)

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