Results 41 to 50 of about 4,416,987 (284)
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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Blind extraction of an exoplanetary spectrum through Independent Component Analysis [PDF]
, 2013 Blind-source separation techniques are used to extract the transmission spectrum of the hot-Jupiter HD189733b recorded by the Hubble/NICMOS instrument. Such a 'blind' analysis of the data is based on the concept of independent component analysis.
Deroo, Pieter +5 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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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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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
openaire +4 more sources
Classification and analysis of emission-line galaxies using mean field independent component analysis [PDF]
, 2013 We present an analysis of the optical spectra of narrow emission-line galaxies, based on mean field independent component analysis (MFICA). Samples of galaxies were drawn from the Sloan Digital Sky Survey (SDSS) and used to generate compact sets of ...
Allen, James T. +4 more
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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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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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