Results 21 to 30 of about 27,482,395 (244)
Independent Component Analysis for Magnetic Resonance Image Analysis
EURASIP 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
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Frontiers in Human Neuroscience, 2018 Goal: We aimed to identify electroencephalographic (EEG) signal fluctuations within independent components (ICs) that correlate to spontaneous blood oxygenation level dependent (BOLD) activity in regions of the default mode network (DMN) during eyes ...
Marcel Prestel +4 more
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Human locomotion-control brain networks detected with independent component analysis [PDF]
Journal 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
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Independent Component Analysis Based on Information Bottleneck
Abstract and Applied Analysis, 2015 The paper is mainly used to provide the equivalence of two algorithms of independent component analysis (ICA) based on the information bottleneck (IB). In the viewpoint of information theory, we attempt to explain the two classical algorithms of ICA by ...
Qiao Ke +4 more
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On Independent Component Analysis with Stochastic Volatility Models
Austrian Journal of Statistics, 2017 Consider a multivariate time series where each component series is assumed to be a linear mixture of latent mutually independent stationary time series.
Markus Matilainen +4 more
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, 2010 This is the author's accepted pre-print of the article, first published as M. D. Plumbley, A. Cichocki and R. Bro. Non-negative mixtures. In P. Comon and C. Jutten (Ed), Handbook of Blind Source Separation: Independent Component Analysis and Applications.
M. D. Plumbley +9 more
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B-spline mutual information independent component analysis [PDF]
, 2010 Mutual Information is one of the most natural criteria when developing independent component analysis (ICA). Although utilized to some level it has always been difficult to calculate.
Li, Yan, Walters-Williams, Janett
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Knowledge-guided multi-scale independent component analysis for biomarker identification
BMC Bioinformatics, 2008 Background Many statistical methods have been proposed to identify disease biomarkers from gene expression profiles. However, from gene expression profile data alone, statistical methods often fail to identify biologically meaningful biomarkers related ...
Zhang Zhen +7 more
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Independent Component Analysis (ICA) based-clustering of temporal RNA-seq data. [PDF]
PLoS ONE, 2017 Gene expression time series (GETS) analysis aims to characterize sets of genes according to their longitudinal patterns of expression. Due to the large number of genes evaluated in GETS analysis, an useful strategy to summarize biological functional ...
Moysés Nascimento +8 more
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Application of independent component analysis to Fermilab Booster
Physical Review Special Topics. Accelerators and Beams, 2005 Autocorrelation is applied to analyze sets of finite-sampling data such as the turn-by-turn beam position monitor (BPM) data in an accelerator. This method of data analysis, called the independent component analysis (ICA), is shown to be a powerful beam ...
Xiaobiao Huang +3 more
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