Results 41 to 50 of about 28,681,192 (295)
, 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
core +1 more source
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
doaj +1 more source
Leaf Vein Extraction Using Independent Component Analysis [PDF]
, 2006 The purpose of this work is to develop an interactive tool which helps botanists to extract the vein system with its hierarchical properties with as little user interaction as possible.
David D. Feng +5 more
core +1 more source
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
doaj +1 more source
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
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
doaj +1 more source
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
doaj +1 more source
Image metadata estimation using independent component analysis and regression [PDF]
, 2006 In this paper, we describe an approach to camera metadata estimation using regression based on Independent Component Analysis (ICA). Semantic scene classification of images using camera metadata related to capture conditions has had some success in the ...
O'Connor, Noel E. +2 more
core +2 more sources
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
doaj +1 more source
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
core +1 more source