Results 1 to 10 of about 4,385,567 (281)
Application of independent component analysis to Fermilab Booster
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
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A Constrained EM Algorithm for Independent Component Analysis [PDF]
We introduce a novel way of performing independent component analysis using a constrained version of the expectation-maximization (EM) algorithm. The source distributions are modeled as D one-dimensional mixtures of gaussians.
Weber, Markus, Welling, Max
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Independent Component Analysis for Improved Defect Detection in Guided Wave Monitoring [PDF]
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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Solvent content of protein crystals from diffraction intensities by Independent Component Analysis [PDF]
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 +34 more
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Background Subtraction Approach Based on Independent Component Analysis
In this work, a new approach to background subtraction based on independent component analysis is presented. This approach assumes that background and foreground information are mixed in a given sequence of images.
Hugo Jiménez-Hernández
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Meta-Analysis of Esophageal Cancer Transcriptomes Using Independent Component Analysis
Independent Component Analysis is a matrix factorization method for data dimension reduction. ICA has been widely applied for the analysis of transcriptomic data for blind separation of biological, environmental, and technical factors affecting gene ...
Ainur Ashenova +7 more
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Independent component approach to the analysis of EEG and MEG recordings [PDF]
Multichannel recordings of the electromagnetic fields emerging from neural currents in the brain generate large amounts of data. Suitable feature extraction methods are, therefore, useful to facilitate the representation and interpretation of the data ...
Hämäläinen, Dr Matti +4 more
core +1 more source
aNy-way Independent Component Analysis [PDF]
AbstractMultimodal data fusion is a topic of great interest. Several fusion methods have been proposed to investigate coherent patterns and corresponding linkages across modalities, such as joint independent component analysis (jICA), multiset canonical correlation analysis (mCCA), mCCA+jICA, disjoint subspace using ICA (DS-ICA) and parallel ICA.
Duan, Kuaikuai +3 more
openaire +3 more sources
Independent component analysis for tensor-valued data
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 +3 more
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Vertical-beam emittance correction with independent component analysis method
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
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