Using Kernel PCA for Initialisation of Variational Bayesian Nonlinear Blind Source Separation Method

Reference:

Antti Honkela, Stefan Harmeling, Leo Lundqvist, and Harri Valpola. Using kernel PCA for initialisation of variational Bayesian nonlinear blind source separation method. In Carlos G. Puntonet and Alberto Prieto, editors, Proc. of the 5th Int. Conf. on Independent Component Analysis and Blind Signal Separation (ICA 2004), volume 3195 of Lecture Notes in Computer Science, pages 790–797, Granada, Spain, 2004. Springer-Verlag, Berlin. Poster.

Suggested BibTeX entry:

@inproceedings{Honkela04ICA,
    address = {Granada, Spain},
    author = {Antti Honkela and Stefan Harmeling and Leo Lundqvist and Harri Valpola},
    booktitle = {Proc.\ of the 5th Int.\ Conf.\ on Independent Component Analysis and Blind Signal Separation (ICA 2004)},
    editor = {Carlos G. Puntonet and Alberto Prieto},
    note = {Poster},
    pages = {790--797},
    publisher = {Springer-Verlag, Berlin},
    series = {Lecture Notes in Computer Science},
    title = {Using Kernel {PCA} for Initialisation of Variational {B}ayesian Nonlinear Blind Source Separation Method},
    volume = {3195},
    year = {2004},
}