Results 31 to 40 of about 4,416,987 (284)
Independent Component Analysis for Domain Independent Watermarking [PDF]
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]
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
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
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]
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
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]
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
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]
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

