Results 231 to 240 of about 150,011 (287)

Leveraging population information in brain connectivity via Bayesian ICA with a novel informative prior for correlation matrices. [PDF]

Biostatistics
Mejia AF, Bolin D, Spencer DA, Eloyan A.
europepmc   +1 more source

Neural network dynamics associated with facial and subjective emotional responses. [PDF]

Commun Biol
Sato W, Kochiyama T, Abe N, Asano K, Yoshikawa S.   +4 more
europepmc   +1 more source

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Visualisasi Kerusakan Bearing Menggunakan Metode Independent Component Analysis (ICA)

Bandung Conference Series: Statistics, 2022
Abstract. Vibration is a response of a mechanical system either caused by a given excitation force or changes in operating conditions as a function of time. The force that causes this vibration can be caused by several sources such as contact/impact between moving/rotating components, rotation of an unbalanced mass, misalignment and also Bearing faults
Silvya Rahmatiara Putri, Sutawanir Darwis   +1 more
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Independent component ordering in ICA time series analysis

Neurocomputing, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cheung, Yiu-ming, Xu, Lei
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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
Dia Abu Al Nadi, Ayman M. Mansour
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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), 2002
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.
null Dongxin Xu, J.C. Principe, J. Fisher, null Hsiao-Chun Wu   +3 more
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Fault detection in induction motors with independent component analysis (ICA)

2009 IEEE Bucharest PowerTech, 2009
In this study, the aim is to detect an induction motor's winding faults by using independent component analysis (ICA). Many laboratory experiments have been done on an induction motor to check the performance of the proposed method. The phase currents of the induction motor are used in the fault detection algorithm.
Guney, Irfan, Kilic, Erdal, Ozgonenel, Okan, Ulutas, Mustafa, Karadeniz, Erol   +4 more
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An alternative switching criterion for independent component analysis (ICA)

Neurocomputing, 2005
In solving the problem of noiseless independent component analysis (ICA) in which sources of super- and sub-Gaussian coexist in an unknown manner, one can be lead to a feasible solution using the natural gradient learning algorithm with a kind of switching criterion for the model probability distribution densities to be selected as super- or sub ...
Dengpan Gao, Jinwen Ma, Qiansheng Cheng
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