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ISBI
2009
IEEE
15 years 4 months ago
EEG Classification by ICA Source Selection of Laplacian-Filtered Data
We studied the performance of a double-spatial filtering method for classification of single-trial electroencephalography (EEG) data that couples the spherical surface Laplacian...
Claudio Carvalhaes, Marcos Perreau Guimaraes, Loga...
NECO
2008
122views more  NECO 2008»
14 years 9 months ago
Constrained Subspace ICA Based on Mutual Information Optimization Directly
We introduce a new approach to constrained Independent Component Analysis (ICA) by formulating the original, unconstrained ICA problem as well as the constraints in mutual informa...
Marc M. Van Hulle
TSP
2008
174views more  TSP 2008»
14 years 9 months ago
Complex ICA Using Nonlinear Functions
We introduce a framework based on Wirtinger calculus for nonlinear complex-valued signal processing such that all computations can be directly carried out in the complex domain. Th...
Tülay Adali, Hualiang Li, Mike Novey, J.-F. C...
ICCV
1999
IEEE
15 years 2 months ago
Principal Manifolds and Bayesian Subspaces for Visual Recognition
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Three techniques: Principal Component Analy...
Baback Moghaddam
ICML
2008
IEEE
15 years 10 months ago
ICA and ISA using Schweizer-Wolff measure of dependence
We propose a new algorithm for independent component and independent subspace analysis problems. This algorithm uses a contrast based on the Schweizer-Wolff measure of pairwise de...
Barnabás Póczos, Sergey Kirshner