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» Genetic Algorithms for Component Analysis
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CSDA
2008
128views more  CSDA 2008»
14 years 12 months ago
Classification tree analysis using TARGET
Tree models are valuable tools for predictive modeling and data mining. Traditional tree-growing methodologies such as CART are known to suffer from problems including greediness,...
J. Brian Gray, Guangzhe Fan
BMCBI
2006
150views more  BMCBI 2006»
14 years 12 months ago
Protein structure similarity from principle component correlation analysis
Background: Owing to rapid expansion of protein structure databases in recent years, methods of structure comparison are becoming increasingly effective and important in revealing...
Xiaobo Zhou, James Chou, Stephen T. C. Wong
ICCV
2011
IEEE
13 years 12 months ago
Localized Principal Component Analysis based Curve Evolution: A Divide and Conquer Approach
We propose a novel localized principal component analysis (PCA) based curve evolution approach which evolves the segmenting curve semi-locally within various target regions (divis...
Vikram Appia, Balaji Ganapathy, Tracy Faber, Antho...
IBPRIA
2003
Springer
15 years 5 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...
GEOINFO
2004
15 years 1 months ago
Visualization of Geospatial Data by Component Planes and U-matrix
: This paper shows an application of two visualization algorithms of multivariate data, U-matrix and Component Planes, in a matter of exploratory analysis of geospatial data. These...
Marcos Aurélio Santos da Silva, Antôn...