Results 81 to 90 of about 4,385,729 (229)
Defining a local arterial input function for perfusion MRI using independent component analysis [PDF]
, 2004 Fernando Calamante +2 more
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Characterization of Strombolian events by using independent component analysis [PDF]
Nonlinear Processes in Geophysics, 2004 We apply Independent Component Analysis (ICA) to seismic signals recorded at Stromboli volcano. Firstly, we show how ICA works considering synthetic signals, which are generated by dynamical systems.
A. Ciaramella +9 more
doaj
Independent component analysis: recent advances [PDF]
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2013 Independent component analysis is a probabilistic method for learning a linear transform of a random vector. The goal is to find components that are maximally independent and non-Gaussian (non-normal). Its fundamental difference to classical multi-variate statistical methods is in the assumption of non-Gaussianity, which enables the identification of ...
openaire +2 more sources
Independent Component Analysis to Detect Clustered Microcalcification Breast Cancers
The Scientific World Journal, 2012 The presence of clustered microcalcifications is one of the earliest signs in breast cancer detection. Although there exist many studies broaching this problem, most of them are nonreproducible due to the use of proprietary image datasets. We use a known
R. Gallardo-Caballero +4 more
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Abrupt change detection of fault in power system using independent component analysis [PDF]
, 2011 Harishchandra Dubey +2 more
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Revista Finanzas y Política Económica, 2021 This paper compares the dimension reduction or feature extraction techniques, e.g., Principal Component Analysis, Factor Analysis, Independent Component Analysis and Neural Networks Principal Component Analysis, which are used as techniques for ...
Rogelio +2 more
doaj
Comparison of Different Independent Component Analysis Algorithms for Output-Only Modal Analysis
Shock and Vibration, 2016 From the principle of independent component analysis (ICA) and the uncertainty of amplitude, order, and number of source signals, this paper expounds the root reasons for modal energy uncertainty, identified order uncertainty, and modal missing in output-
Jianying Wang +3 more
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Blind Source Separation Combining Independent Component Analysis and Beamforming
EURASIP Journal on Advances in Signal Processing, 2003 We describe a new method of blind source separation (BSS) on a microphone array combining subband independent component analysis (ICA) and beamforming. The proposed array system consists of the following three sections: (1) subband ICA-based BSS section
Kurita Satoshi +5 more
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Linear modes of gene expression determined by independent component analysis [PDF]
, 2002 Wolfram Liebermeister
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Consistent Noisy Independent Component Analysis [PDF]
We study linear factor models under the assumptions that factors are mutually independent and independent of errors, and errors can be correlated to some extent.
Bonhomme, Stéphane, Robin, Jean-Marc
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