Sciweavers

753 search results - page 19 / 151
» Independent component analysis: algorithms and applications
Sort
View
ICRA
2008
IEEE
170views Robotics» more  ICRA 2008»
15 years 7 months ago
Human detection using iterative feature selection and logistic principal component analysis
— We present a fast feature selection algorithm suitable for object detection applications where the image being tested must be scanned repeatedly to detected the object of inter...
Wael Abd-Almageed, Larry S. Davis
IJON
2006
131views more  IJON 2006»
15 years 1 months ago
Optimizing blind source separation with guided genetic algorithms
This paper proposes a novel method for blindly separating unobservable independent component (IC) signals based on the use of a genetic algorithm. It is intended for its applicati...
J. M. Górriz, Carlos García Puntonet...
BMCBI
2010
100views more  BMCBI 2010»
15 years 1 months ago
Trimming of mammalian transcriptional networks using network component analysis
Background: Network Component Analysis (NCA) has been used to deduce the activities of transcription factors (TFs) from gene expression data and the TF-gene binding relationship. ...
Linh M. Tran, Daniel R. Hyduke, James C. Liao
ISCAS
2005
IEEE
214views Hardware» more  ISCAS 2005»
15 years 6 months ago
Blind separation of statistically independent signals with mixed sub-Gaussian and super-Gaussian probability distributions
— In the context of Independent Component Analysis (ICA), we propose a simple method for online estimation of activation functions in order to blindly separate instantaneous mixt...
Muhammad Tufail, Masahide Abe, Masayuki Kawamata
ICA
2007
Springer
15 years 3 months ago
Bayesian Estimation of Overcomplete Independent Feature Subspaces for Natural Images
In this paper, we propose a Bayesian estimation approach to extend independent subspace analysis (ISA) for an overcomplete representation without imposing the orthogonal constraint...
Libo Ma, Liqing Zhang