Results 181 to 190 of about 4,385,729 (229)

ADVANCES IN INDEPENDENT COMPONENT ANALYSIS WITH APPLICATIONS TO DATA MINING

, 2003
Ella Bingham
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Correction to "Spatial and temporal independent component analysis of functional MRI data containing a pair of task-related waveforms". [PDF]

Hum Brain Mapp
europepmc   +1 more source

A simulation study: comparing independent component analysis and signal-space projection - source-informed reconstruction for rejecting muscle artifacts evoked by transcranial magnetic stimulation. [PDF]

Front Hum Neurosci
Mutanen TP, Ilmoniemi I, Atti I, Metsomaa J, Ilmoniemi RJ.   +4 more
europepmc   +1 more source

[Research on emotion recognition in electroencephalogram based on independent component analysis-recurrence plot and improved EfficientNet]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
Feng G, Zheng X, Zhang B, Wang H.
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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

An offline multi-class auditory P300 brain-computer interface using principal and independent component analysis

, 2011
Alexander Bentley
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Independent Component Analysis

IEEE Transactions on Neural Networks, 2004
Independent component analysis (ICA) is a multivariate data analysis method that, given a linear mixture of statistical independent sources, recovers these components by producing an unmixing matrix. Stemming from a more general problem called blind source separation (BSS), ICA has become increasingly popular in recent years with several excellent ...
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Discriminant Independent Component Analysis

IEEE Transactions on Neural Networks, 2009
A conventional linear model based on Negentropy maximization extracts statistically independent latent variables which may not be optimal to give a discriminant model with good classification performance. In this paper, a single-stage linear semisupervised extraction of discriminative independent features is proposed. Discriminant independent component
Dhir, CS Dhir, Chandra Shekhar, Lee, SY Lee, Soo-Young   +1 more
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Flexible independent component analysis

Neural Networks for Signal Processing VIII. Proceedings of the 1998 IEEE Signal Processing Society Workshop (Cat. No.98TH8378), 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Choi, S, Cichocki, A, Amari, SI
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