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ICASSP
2011
IEEE
13 years 16 days ago
Iterative PCA for population structure analysis
An extension of principal component analysis called ipPCA has been proposed earlier for analyzing structure in genetic data. This non-parametric framework iteratively classifies ...
Tulaya Limpiti, Apichart Intarapanich, Anunchai As...
IDEAL
2005
Springer
14 years 2 months ago
Multiresolution Analysis of Connectivity
Multiresolution histograms have been used for indexing and retrieval of images. Multiresolution histograms used traditionally are 2d-histograms which encode pixel intensities. Earl...
Atul Sajjanhar, Guojun Lu, Dengsheng Zhang, Tian Q...
BMCV
2000
Springer
14 years 1 months ago
The Spectral Independent Components of Natural Scenes
Abstract. We apply independent component analysis (ICA) for learning an efficient color image representation of natural scenes. In the spectra of single pixels, the algorithm was a...
Te-Won Lee, Thomas Wachtler, Terrence J. Sejnowski
APWEB
2005
Springer
14 years 2 months ago
Mining Quantitative Associations in Large Database
Association Rule Mining algorithms operate on a data matrix to derive association rule, discarding the quantities of the items, which contains valuable information. In order to mak...
Chenyong Hu, Yongji Wang, Benyu Zhang, Qiang Yang,...
JMLR
2008
188views more  JMLR 2008»
13 years 8 months ago
Maximal Causes for Non-linear Component Extraction
We study a generative model in which hidden causes combine competitively to produce observations. Multiple active causes combine to determine the value of an observed variable thr...
Jörg Lücke, Maneesh Sahani