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Independent component analysis
Known as:
Independent components analysis
, TICA
, Component analysis
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In signal processing, independent component analysis (ICA) is a computational method for separating a multivariate signal into additive subcomponents…
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Related topics
Related topics
48 relations
Artificial neuron
Blind deconvolution
Blind equalization
Blind signal separation
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Broader (1)
Signal processing
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2014
Highly Cited
2014
Enhanced Automatic Wavelet Independent Component Analysis for Electroencephalographic Artifact Removal
N. Mammone
,
F. Morabito
Entropy
2014
Corpus ID: 29789259
Electroencephalography (EEG) is a fundamental diagnostic instrument for many neurological disorders, and it is the main tool for…
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Review
2010
Review
2010
An Introduction to Independent Component Analysis: InfoMax and FastICA algorithms
Dominique Gosselin
,
S. Chartier
,
D. Langlois
2010
Corpus ID: 2523092
This paper presents an introduction to independent component analysis (ICA). Unlike principal component analysis, which is based…
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Highly Cited
2010
Highly Cited
2010
Tiled convolutional neural networks
Quoc V. Le
,
Jiquan Ngiam
,
Zhenghao Chen
,
D. J. Chia
,
Pang Wei Koh
,
A. Ng
Neural Information Processing Systems
2010
Corpus ID: 9573124
Convolutional neural networks (CNNs) have been successfully applied to many tasks such as digit and object recognition. Using…
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Highly Cited
2006
Highly Cited
2006
Application of independent component analysis in removing artefacts from the electrocardiogram
T. He
,
G. Clifford
,
L. Tarassenko
Neural computing & applications (Print)
2006
Corpus ID: 1549592
Routinely recorded electrocardiograms (ECGs) are often corrupted by different types of artefacts and many efforts have been made…
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2005
2005
Independent component analysis of EEG signals
Lisha Sun
,
Y. Liu
,
P. Beadle
Proceedings of IEEE International Workshop on…
2005
Corpus ID: 44199200
Independent component analysis (ICA) technique is applied to the analysis of electroencephalographic (EEG) signal. The main task…
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Highly Cited
2003
Highly Cited
2003
Band selection using independent component analysis for hyperspectral image processing
Hongtao Du
,
H. Qi
,
Xiaoling Wang
,
R. Ramanath
,
W. Snyder
32nd Applied Imagery Pattern Recognition Workshop…
2003
Corpus ID: 9513807
Although hyperspectral images provide abundant information about objects, their high dimensionality also substantially increases…
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Highly Cited
2003
Highly Cited
2003
Recognizing faces with PCA and ICA
B. Draper
,
K. Baek
,
M. Bartlett
,
J. Beveridge
Computer Vision and Image Understanding
2003
Corpus ID: 6684304
2002
2002
Independent component analysis of electroencephalographic signals
M. Shen
,
Xinjun Zhang
,
Xianhui Li
International Conference on the Software Process
2002
Corpus ID: 58881271
This paper discusses the independent component analysis (ICA) technique and its applications to the analysis of…
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Highly Cited
2001
Highly Cited
2001
AUTOMATIC ARTIFACT REJECTION FOR EEG DATA USING HIGH-ORDER STATISTICS AND INDEPENDENT COMPONENT ANALYSIS
A. Delorme
,
S. Makeig
,
T. Sejnowski
,
N. T. Pines
2001
Corpus ID: 5832944
While it is now generally accepted that independent component analysis is a good tool for isolating both artifacts and cognitive…
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Highly Cited
1998
Highly Cited
1998
Independent component representations for face recognition
M. Bartlett
,
M. Lades
,
T. Sejnowski
Electronic imaging
1998
Corpus ID: 16204207
In a task such as face recognition, much of the important information may be contained in the high-order relationships among the…
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