default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDNeurocomputing, Volume 22
Volume 22, Number 1-3, November 1998
- Juha Karhunen, Petteri Pajunen, Erkki Oja:
The nonlinear PCA criterion in blind source separation: Relations with other approaches. 5-20 - Paris Smaragdis:
Blind separation of convolved mixtures in the frequency domain. 21-34 - Petteri Pajunen:
Blind source separation using algorithmic information theory. 35-48 - Aapo Hyvärinen:
Independent component analysis in the presence of Gaussian noise by maximizing joint likelihood. 49-67 - Lei Xu, Chi Chiu Cheung, Shun-ichi Amari:
Learned parametric mixture based ICA algorithm. 69-80 - Lei Xu:
Bayesian Kullback Ying-Yang dependence reduction theory. 81-111 - Andrzej Cichocki
, Scott C. Douglas, Shun-ichi Amari:
Robust techniques for independent component analysis (ICA) with noisy data. 113-129 - Francesco Palmieri, Alessandra Budillon, Michele Calabrese, Davide Mattera:
Searching for a binary factorial code using the ICA framework. 131-144 - Darryl Charles:
Constrained PCA techniques for the identification of common factors in data. 145-156 - Mitsuru Kawamoto, Kiyotoshi Matsuoka, Noboru Ohnishi:
A method of blind separation for convolved non-stationary signals. 157-171 - Allan Kardec Barros, Ali Mansour, Noboru Ohnishi:
Removing artifacts from electrocardiographic signals using independent components analysis. 173-186 - Erkki Oja:
From neural learning to independent components. 187-199 - Mark A. Girolami:
A nonlinear model of the binaural cocktail party effect. 201-215
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-02-04 20:50 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
