Results 31 to 40 of about 4,385,729 (229)
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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BMICA-independent component analysis based on B-spline mutual information estimator [PDF]
, 2012 The information theoretic concept of mutual information provides a general framework to evaluate dependencies between variables. Its estimation however using B-Spline has not been used before in creating an approach for Independent Component Analysis. In
Li, Yan, Walters-Williams, Janett
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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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Efficient independent component analysis
, 2007 Independent component analysis (ICA) has been widely used for blind source separation in many fields such as brain imaging analysis, signal processing and telecommunication.
Bickel, Peter J., Chen, Aiyou
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Non-independent component analysis
The Annals of StatisticsA seminal result in the ICA literature states that for $AY = \varepsilon$, if the components of $\varepsilon$ are independent and at most one is Gaussian, then $A$ is identified up to sign and permutation of its rows (Comon, 1994). In this paper we study to which extent the independence assumption can be relaxed by replacing it with restrictions on ...
Mesters, Geert, Zwiernik, Piotr
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Independent Component Analysis for Improved Defect Detection in Guided Wave Monitoring [PDF]
, 2015 Guided wave sensors are widely used in a number of industries and have found particular application in the oil and gas industry for the inspection of pipework.
Cawley, P, Dobson
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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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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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Statistical physics of independent component analysis
, 2003 Statistical physics is used to investigate independent component analysis with polynomial contrast functions. While the replica method fails, an adapted cavity approach yields valid results. The learning curves, obtained in a suitable thermodynamic limit,
Amari A. +5 more
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