Results 41 to 50 of about 4,385,567 (281)
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
doaj +1 more source
Independent Component Analysis Based on Information Bottleneck
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
doaj +1 more source
On Independent Component Analysis with Stochastic Volatility Models
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
doaj +1 more source
Efficient independent component analysis
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
core +2 more sources
Statistical physics of independent component analysis
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
core +2 more sources
Non-independent component analysis
A 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 +3 more sources
Assessing material densities by vibration analysis and independent component analysis [PDF]
The aim of this study was to investigate vibration analysis and independent component analysis (ICA) to assess the density of multiple materials making up a single structure.
Bishop, Nick +5 more
core +1 more source
Knowledge-guided multi-scale independent component analysis for biomarker identification
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
doaj +1 more source
Independent Component Analysis (ICA) based-clustering of temporal RNA-seq data. [PDF]
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
doaj +1 more source
Classification and analysis of emission-line galaxies using mean field independent component analysis [PDF]
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
core +3 more sources

