Results 1 to 10 of about 265,367 (299)

Independent component analysis: algorithms and applications

Neural Networks, 2000
Aapo Hyvärinen, E. Oja
semanticscholar   +3 more sources

Decoding the encoding of functional brain networks: An fMRI classification comparison of non-negative matrix factorization (NMF), independent component analysis (ICA), and sparse coding algorithms. [PDF]

J Neurosci Methods, 2017
Xie J, Douglas PK, Wu YN, Brody AL, Anderson AE.   +4 more
europepmc   +2 more sources

Fast and robust fixed-point algorithms for independent component analysis

IEEE Transactions on Neural Networks, 1999
Aapo Hyvärinen
semanticscholar   +3 more sources

PEMISAHAN BANYAK SUMBER SUARA MESIN MENGGUNAKAN INDEPENDENT COMPONENT ANALYSIS (ICA) UNTUK DETEKSI KERUSAKAN

Jurnal Ilmu Komputer dan Informasi, 2012
B.T. Atmaja, A. S. Aisyah, D. Arifianto
doaj   +1 more source

Independent component analysis (ICA) and method of estimating functions

Independent component analysis (ICA) and method of estimating functions
Independent component analysis (ICA) is a new method of extracting independent components from multivariate data. It can be applied to various fields such as vision and auditory signal analysis, communication systems, and biomedical and brain engineering. There have been proposed a number of algorithms.
openaire  

Independent Component Analysis (ICA) With Covariates Strengthens Behavioral Links in Electroencephalography (EEG) Connectivity. [PDF]

Cureus
Cripe CT, Delorme A.
europepmc   +1 more source

Independent component analysis (ICA) applied to dynamic oxygen-enhanced MRI (OE-MRI) for robust functional lung imaging at 3 T. [PDF]

Magn Reson Med
Needleman SH, Kim M, McClelland JR, Naish JH, Tibiletti M, O'Connor JPB, Parker GJM.   +6 more
europepmc   +1 more source

Independent Component Analysis

, 2005
Aapo Hyvärinen, J. Karhunen, E. Oja
semanticscholar   +1 more source

A method for making group inferences from functional MRI data using independent component analysis

Human Brain Mapping, 2001
V. Calhoun, T. Adalı, G. Pearlson, J. Pekar   +3 more
semanticscholar   +1 more source

Principal Component Analysis (PCA), Factor Analysis and Independent Component Analysis (ICA) in the Analysis of Nutritional Data

, 2006
Tässä tilastotieteen pro gradu-työssä tarkastellaan Terveys 2000 -tutkimuksen ravitsemus aineistoa. Tavoitteena on löytää ravintotottumuksiltaan poikkeavia ravinto klustereita, joiden välillä ravitsemustottumukset ovat erilaisia. Osana Kansanterveyslaitoksen tekemää Terveys 2000 -tutkimusta kerättiin tietoa suomalaisten ruokailutottumuksista ...
openaire   +1 more source