Results 31 to 40 of about 4,416,987 (284)

Independent Component Analysis for Domain Independent Watermarking [PDF]

open access: yes, 2002
A new principled domain independent watermarking framework is presented. The new approach is based on embedding the message in statistically independent sources of the covertext to mimimise covertext distortion, maximise the information embedding rate and improve the method's robustness against various attacks.
Stéphane Bounkong   +2 more
openaire   +1 more source

Independent Component Analysis of Spatiotemporal Chaos [PDF]

open access: yes, 2005
Two types of spatiotemporal chaos exhibited by ensembles of coupled nonlinear oscillators are analyzed using independent component analysis (ICA). For diffusively coupled complex Ginzburg-Landau oscillators that exhibit smooth amplitude patterns, ICA ...
Amari S.   +27 more
core   +1 more source

Comparing the microvascular specificity of the 3 T and 7 T BOLD response using ICA and Susceptibility-Weighted Imaging

open access: yesFrontiers in Human Neuroscience, 2013
In functional MRI it is desirable for the blood-oxygenation level dependent (BOLD) signal to be localized to the tissue containing activated neurons rather than the veins draining that tissue. This study addresses the dependence of the specificity of the
Alexander eGeissler   +12 more
doaj   +1 more source

TFT-LCD Mura Defects Using Independent Component Analysis

open access: yesJournal of Advanced Mechanical Design, Systems, and Manufacturing, 2009
Independent component analysis (ICA) is used to detect the mura regions with varying sizes and brightness levels before thresholding, then individually analyzed the mura regions in order to avoid unnecessary background effect.
Shang Liang CHEN, Chi Chin YANG
doaj   +1 more source

An Introduction to Independent Component Analysis: InfoMax and FastICA algorithms [PDF]

open access: yesTutorials in Quantitative Methods for Psychology, 2010
This paper presents an introduction to independent component analysis (ICA). Unlike principal component analysis, which is based on the assumptions of uncorrelatedness and normality, ICA is rooted in the assumption of statistical independence ...
Dominique Gosselin   +2 more
doaj  

Bi-Smoothed Functional Independent Component Analysis for EEG Artifact Removal

open access: yesMathematics, 2021
Motivated by mapping adverse artifactual events caused by body movements in electroencephalographic (EEG) signals, we present a functional independent component analysis based on the spectral decomposition of the kurtosis operator of a smoothed principal
Marc Vidal   +2 more
doaj   +1 more source

A Constrained EM Algorithm for Independent Component Analysis [PDF]

open access: yes, 2001
We introduce a novel way of performing independent component analysis using a constrained version of the expectation-maximization (EM) algorithm. The source distributions are modeled as D one-dimensional mixtures of gaussians.
Weber, Markus, Welling, Max
core   +2 more sources

Independent Component Analysis for Magnetic Resonance Image Analysis

open access: yesEURASIP Journal on Advances in Signal Processing, 2008
Independent component analysis (ICA) has recently received considerable interest in applications of magnetic resonance (MR) image analysis. However, unlike its applications to functional magnetic resonance imaging (fMRI) where the number ...
San-Kan Lee   +7 more
doaj   +1 more source

Human locomotion-control brain networks detected with independent component analysis [PDF]

open access: yesJournal of Integrative Neuroscience, 2021
Walking is a fundamental movement skill in humans. However, how the brain controls walking is not fully understood. In this functional magnetic resonance imaging study, the rhythmic, bilaterally alternating ankle movements were used as paradigm to ...
Pengxu Wei   +3 more
doaj   +1 more source

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