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IBPRIA
2003
Springer
13 years 9 months ago
Does Independent Component Analysis Play a~Role in Unmixing Hyperspectral Data?
—Independent component analysis (ICA) has recently been proposed as a tool to unmix hyperspectral data. ICA is founded on two assumptions: 1) the observed spectrum vector is a li...
José M. P. Nascimento, José M. B. Di...
IJON
2008
128views more  IJON 2008»
13 years 4 months ago
Independent arrays or independent time courses for gene expression time series data analysis
In this paper we apply three different independent component analysis (ICA) methods, including spatial ICA (sICA), temporal ICA (tICA), and spatiotemporal ICA (stICA), to gene exp...
Sookjeong Kim, Jong Kyoung Kim, Seungjin Choi
GPB
2008
41views more  GPB 2008»
13 years 4 months ago
Gene Expression Data Classification Using Consensus Independent Component Analysis
Chun-Hou Zheng, De-Shuang Huang, Xiangzhen Kong, X...
NIPS
2004
13 years 5 months ago
Nonlinear Blind Source Separation by Integrating Independent Component Analysis and Slow Feature Analysis
In contrast to the equivalence of linear blind source separation and linear independent component analysis it is not possible to recover the original source signal from some unkno...
Tobias Blaschke, Laurenz Wiskott
ICA
2012
Springer
12 years 2 days ago
A Canonical Correlation Analysis Based Method for Improving BSS of Two Related Data Sets
We consider an extension of ICA and BSS for separating mutually dependent and independent components from two related data sets. We propose a new method which first uses canonical...
Juha Karhunen, Tele Hao, Jarkko Ylipaavalniemi