Results 241 to 250 of about 265,367 (299)

Aberrant functional connectivity and the intrinsic activity of primary visual network and their relationship with adolescent atypical depression symptoms. [PDF]

Front Psychiatry
Li Y, Liu X, Liu H, Tang B, Xie J, Ma C, Yu Y, Wu S, Li Y.   +8 more
europepmc   +1 more source

Atypical Development of Functional Brain Networks in Neonates with Congenital Heart Disease. [PDF]

J Neurosci
Kim JH, De Asis-Cruz J, Andescavage NN, Kapse K, Donofrio MT, Vezina G, du Plessis A, Limperopoulos C.   +7 more
europepmc   +1 more source

Distinct information flows for different whole-body actions across LOTC subdivisions. [PDF]

Commun Biol
Li B, Marrazzo G, Poyo Solanas M, de Gelder B.   +3 more
europepmc   +1 more source

Research and Implementation of Localization of Multiple Local Discharge Sources in Switchgear Based on Ultrasound. [PDF]

Sensors (Basel)
Xu D, Huang Y, Mitra AD, Yang SX, Li P, Xiao M, Su L, Song L.   +7 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

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

Neurocomputing, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
A. Cichocki, S. Douglas, S. Amari
semanticscholar   +4 more sources

Independent Component Analysis (ICA) for texture classification

2008 5th International Multi-Conference on Systems, Signals and Devices, 2008
This paper presents a texture classification algorithm using independent component analysis (ICA). ICA is used for creating basis functions or basis images bank. These basis functions are used in texture classification because they are able to capture the inherent properties of textured images. These properties enable us to use the ICA bank to generate
Ayman M. Mansour
semanticscholar   +2 more sources

A novel measure for independent component analysis (ICA)

Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181), 1998
Measures of independence (and dependence) are fundamental in many areas of engineering and signal processing. Shannon introduced the idea of information entropy which has a sound theoretical foundation but sometimes is not easy to implement in engineering applications. In this paper, Renyi's entropy is used and a novel independence measure is proposed.
Dongxin Xu, J. Príncipe, John W. Fisher III, Hsiao-Chun Wu   +3 more
semanticscholar   +2 more sources

Separation of deterministic signals using independent component analysis (ICA)

Studia Geophysica et Geodaetica, 2012
Independent Component Analysis (ICA) represents a higher-order statistical technique that is often used to separate mixtures of stochastic random signals into statistically independent sources. Its benefit is that it only relies on the information contained in the observations, i.e.
E. Forootan, J. Kusche
semanticscholar   +2 more sources