Results 201 to 210 of about 32,702 (254)

The Hypno-PC: uncovering sleep dynamics through principal component analysis and hidden Markov modeling of electrophysiological signals. [PDF]

Sleep
Guendelman M, Shriki O.
europepmc   +1 more source

EEG-Pype: An accessible MNE-Python pipeline with graphical user interface for preprocessing and analysis of resting-state electroencephalography data. [PDF]

PLoS Comput Biol
Lodema DY, van Dellen HJ, de Haan W, van Hest M, Hillebrand A, van Dellen E.   +5 more
europepmc   +1 more source

A novel framework to quantify dynamic convergence and divergence of overlapping brain states characterizing four psychiatric disorders. [PDF]

Netw Neurosci
Soleimani N, Wiafe SL, Iraji A, Pearlson G, Calhoun VD.   +4 more
europepmc   +1 more source

Eigenlipids for exploring lipid biology. [PDF]

J Lipid Res
Sing N, Smith AAT, Dakic A, Yi C, Salim A, Giles C, Meikle PJ.   +6 more
europepmc   +1 more source

Multi-echo BOLD fMRI improves cerebrovascular reactivity estimates in stroke

Clements RG, Geranmayeh F, Parkinson NV, Montero M, Urday S, Taran K, Caban-Rivera DA, Ingo C, Bright MG.   +8 more
europepmc   +1 more source

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Robust techniques for independent component analysis (ICA) with noisy data

Neurocomputing, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shun-Ichi Amari, Andrzej Cichocki, S C Douglas   +2 more
exaly   +2 more sources

Independent component ordering in ICA time series analysis

Neurocomputing, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.

exaly   +3 more sources

Authentication of DICOM medical images using independent component analysis (ICA)

International Journal of Medical Engineering and Informatics, 2012
This paper proposes a blind content-based watermarking scheme for image authentication using ICA and DCT. The watermark to be embedded is obtained from the host image itself in terms of the Frobenius norm of the mixing matrix obtained during ICA. These are embedded in the mid-frequency DCT coefficients.
A Kannammal
exaly   +2 more sources

Independent component analysis (ICA): A statistical approach to the analysis of superimposed rock paintings

Journal of Archaeological Science, 2021
Abstract Independent Component Analysis (ICA) is a statistical technique for decomposing information from datasets into maximally independent components. ICA allows the researcher to recover two or more independent signals that appear mixed within the same dataset.
Marcela Sepulveda, Enrique Cerrillo-Cuenca   +1 more
exaly   +3 more sources

Face Recognition using independent component analysis of GaborJet (GaborJet-ICA)

2010 6th International Colloquium on Signal Processing & its Applications, 2010
In this paper a new face recognition technique based on Independent Component Analysis of GaborJet (GaborJet-ICA) is proposed. Existing face recognition systems using Gabor wavelets convolve a whole face image with a set of 40 Gabor wavelets. We have derived Gabor feature vector from facial landmarks (fiducial points) known as GaborJets.
K S Kinage, S G Bhirud
exaly   +2 more sources