Fisher Discriminant Analysis With Kernels (1999)

by Sebastian Mika , Gunnar Rätsch , Jason Weston , Bernhard Schölkopf , Klaus-Robert Müller
Citations:312 - 15 self

Active Bibliography

15 Machine learning techniques for brain-computer interfaces – K.-R. Müller, M. Krauledat, G. Dornhege, G. Curio, B. Blankertz - 2004
Neural Network Systems, Techniques and Applications in Pattern Recognition – Jouko Lampinen, Jorma Laaksonen, Erkki Oja - 1997
373 An introduction to kernel-based learning algorithms – Klaus-Robert Müller, Sebastian Mika, Gunnar Rätsch, Koji Tsuda, Bernhard Schölkopf - 2001
3 SVM Decision Boundary Based Discriminative Subspace Induction – Jiayong Zhang, Yanxi Liu - 2002
42 Invariant Feature Extraction and Classification in Kernel Spaces – Sebastian Mika, Gunnar Rätsch, Jason Weston, Bernhard Schölkopf, Alex Smola, Klaus-Robert Müller
1 A review of RKHS methods in machine learning – Thomas Hofmann, Bernhard Schölkopf, Alexander J. Smola - 2006
2 Comparison of neural and statistical classifiers -- theory and practice – Lasse Holmström, Petri Koistinen, Jorma Laaksonen, Erkki Oja - 1996
17 The Berlin Brain-Computer Interface: machine learning based detection of user specific brain states – Benjamin Blankertz, Guido Dornhege, Steven Lemm, Matthias Krauledat, Gabriel Curio, Klaus-robert Müller - 2006
6 Nonlinear feature extraction based on centroids and kernel functions – Cheonghee Park, Haesun Park - 2002
48 Dimensionality reduction of multimodal labeled data by local Fisher discriminant analysis – Masashi Sugiyama, Sam Roweis - 2007
657 Statistical pattern recognition: A review – Anil K. Jain, Robert P. W. Duin, Jianchang Mao - 2000
473 A tutorial on support vector regression – Alex J. Smola, Bernhard Schölkopf - 2004
1 A Statistical Perspective on Data Mining – Ranjan Maitra
LETTER Communicated by John Platt Bayesian Framework for Least-Squares Support Vector Machine Classifiers, Gaussian Processes, and Kernel Fisher Discriminant Analysis – T. Van Gestel, J. A. K. Suykens, G. Lanckriet, A. Lambrechts, B. De Moor, J. Vandewalle
552 Sparse Bayesian Learning and the Relevance Vector Machine – Michael E. Tipping, Alex Smola - 2001
Kernel Discriminant Learning with Application to Face Recognition – Juwei Lu, K. N. Plataniotis, A. N. Venetsanopoulos
12 Feature Vector Selection and Projection Using Kernels – G. Baudat, F. Anouar - 2003
LETTER Communicated by Peter Bartlett Generalized Discriminant Analysis Using a Kernel Approach – G. Baudat, F. Anouar
43 Efficient and Robust Feature Extraction by Maximum Margin Criterion – Haifeng Li, Tao Jiang, Keshu Zhang - 2003