Results 51 to 60 of about 4,385,729 (229)

Vertical-beam emittance correction with independent component analysis method

Physical Review Special Topics. Accelerators and Beams, 2008
The vertical-beam emittance in an electron storage ring is mainly determined by two factors: the linear betatron coupling and the spurious vertical dispersion generated by magnet errors.
F. Wang, S. Y. Lee
doaj   +1 more source

Orthogonal approach to independent component analysis using quaternionic factorization

EURASIP Journal on Advances in Signal Processing, 2020
Independent component analysis (ICA) is a popular technique for demixing multichannel data. The performance of a typical ICA algorithm strongly depends on the presence of additive noise, the actual distribution of source signals, and the estimated number
Adam Borowicz
doaj   +1 more source

Dimensionality reduction of the attributes using fuzzy optimized independent component analysis for a Big Data Intrusion Detection System [PDF]

, 2022
R. Aswanandini, Ch. Deepa
openalex   +1 more source

Independent component analysis for tensor-valued data

, 2017
In preprocessing tensor-valued data, e.g. images and videos, a common procedure is to vectorize the observations and subject the resulting vectors to one of the many methods used for independent component analysis (ICA).
Li, Bing, Nordhausen, Klaus, Oja, Hannu, Virta, Joni   +3 more
core   +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 ...
Blighe, Michael, Le Borgne, Hervé, O'Connor, Noel E.   +2 more
core  

Binary Independent Component Analysis with OR Mixtures

, 2010
Independent component analysis (ICA) is a computational method for separating a multivariate signal into subcomponents assuming the mutual statistical independence of the non-Gaussian source signals.
Nguyen, Huy, Zheng, Rong
core   +1 more source

Determining the optimal number of independent components for reproducible transcriptomic data analysis

BMC Genomics, 2017
Background Independent Component Analysis (ICA) is a method that models gene expression data as an action of a set of statistically independent hidden factors.
Ulykbek Kairov, Laura Cantini, Alessandro Greco, Askhat Molkenov, Urszula Czerwinska, Emmanuel Barillot, Andrei Zinovyev   +6 more
doaj   +1 more source

Solvent content of protein crystals from diffraction intensities by Independent Component Analysis [PDF]

, 2003
An analysis of the protein content of several crystal forms of proteins has been performed. We apply a new numerical technique, the Independent Component Analysis (ICA), to determine the volume fraction of the asymmetric unit occupied by the protein ...
A. Lamura, Authier, Cedergren-Zeppezauer, Comon, Cover, D. Siliqi, Dauter, Dauter, G. Nico, Giacovazzo, Glover, Hecht, Hecht, Hofmann, Huber, Hyvärinen, Hyvärinen, Hyvärinen, Jiang, Jones, Jutten, Kantardjeff, Kostrewa, Kostrewa, Massimo Ladisa, Matak-Vinkovic, Mattevi, Matthews, Moews, Moore, Morris, Papoulis, Spallarossa, Toro, Urzhumtsev   +34 more
core   +1 more source

A Tutorial on Independent Component Analysis [PDF]

, 2014
Independent component analysis (ICA) has become a standard data analysis technique applied to an array of problems in signal processing and machine learning.
Shlens, Jonathon
core  

Acoustical Source Tracing Using Independent Component Analysis and Correlation Analysis

Shock and Vibration, 2015
Acoustical signals from mechanical systems reveal the operating conditions of mechanical components and thus benefit for machinery condition monitoring and fault diagnosis. However, the acoustical signals directly measured by the sensors in essential are
Wei Cheng, Zhousuo Zhang, Jie Zhang, Jiantao Lu   +3 more
doaj   +1 more source