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» Complex ICA Using Nonlinear Functions
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TIP
2002
179views more  TIP 2002»
13 years 4 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki
ICA
2004
Springer
13 years 10 months ago
ICA Using Kernel Entropy Estimation with NlogN Complexity
Abstract. Mutual information (MI) is a common criterion in independent component analysis (ICA) optimization. MI is derived from probability density functions (PDF). There are scen...
Sarit Shwartz, Michael Zibulevsky, Yoav Y. Schechn...
NIPS
2003
13 years 6 months ago
ICA-based Clustering of Genes from Microarray Expression Data
We propose an unsupervised methodology using independent component analysis (ICA) to cluster genes from DNA microarray data. Based on an ICA mixture model of genomic expression pa...
Su-In Lee, Serafim Batzoglou
TNN
2008
102views more  TNN 2008»
13 years 4 months ago
A Class of Complex ICA Algorithms Based on the Kurtosis Cost Function
In this paper, we introduce a novel way of performing real-valued optimization in the complex domain. This framework enables a direct complex optimization technique when the cost f...
Hualiang Li, Tülay Adali
ICASSP
2008
IEEE
13 years 11 months ago
On quantifying the effects of noncircularity on the complex fastica algorithm
The complex fast independent component analysis (c-FastICA) algorithm is one of the most popular methods for solving the ICA problem with complex-valued data. In this study, we ex...
Mike Novey, Tülay Adali