Kernel Projection Machine: a New Tool for Pattern Recognition

By Laurent Zwald, Régis Vert, Gilles Blanchard, Pascal Massart. 2004

39 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Liva Ralaivola
2. Guillaume Stempfel
3. Francis R. Bach
4. Arthur Gretton
5. Julien Mairal
6. Yoshua Bengio
7. Kenji Fukumizu
8. Dacheng Tao

Citations in the corpus

• On the Equivalence between Quadrature Rules and Random Features (2015, background): “It may be possible to derive a similar result with a thresholding of eigenvalues in the spirit of Zwald et al. (2004), but this would require Bernstein-type concentration inequalities for the projections on principal subspaces.”
• Learning Kernel Perceptrons on Noisy Data Using Random Projections (2007, methodology): “Regarding the use of kernel projections to tackle classification problems, the Kernel Projection Machine of [18] has to be mentioned.”
• Finite-Dimensional Projection for Classification and Statistical Learning (2008, unknown): “First, we consider the idealized case of a perfect model selection step.”