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ICPR
2004
IEEE
16 years 1 months ago
Principal Component Analysis for Online Handwritten Character Recognition
In this paper, Principal Component Analysis (PCA) is applied to the problem of Online Handwritten Character Recognition in the Tamil script. The input is a temporally ordered sequ...
A. G. Ramakrishnan, Sriganesh Madhvanath, V. Deepu
ICRA
2008
IEEE
170views Robotics» more  ICRA 2008»
15 years 6 months ago
Human detection using iterative feature selection and logistic principal component analysis
— We present a fast feature selection algorithm suitable for object detection applications where the image being tested must be scanned repeatedly to detected the object of inter...
Wael Abd-Almageed, Larry S. Davis
96
Voted
HICSS
2007
IEEE
144views Biometrics» more  HICSS 2007»
15 years 6 months ago
Automatic Web Page Categorization using Principal Component Analysis
Today’s search engines retrieve tens of thousands of web pages in response to fairly simple query articulations. These pages are retrieved on the basis of the query terms occurr...
Richong Zhang, Michael A. Shepherd, Jack Duffy, Ca...
ICASSP
2009
IEEE
15 years 4 months ago
Principal component analysis in decomposable Gaussian graphical models
We consider principal component analysis (PCA) in decomposable Gaussian graphical models. We exploit the prior information in these models in order to distribute its computation. ...
Ami Wiesel, Alfred O. Hero III
IJHPCA
2008
104views more  IJHPCA 2008»
15 years 11 days ago
Low-Complexity Principal Component Analysis for Hyperspectral Image Compression
Principal component analysis (PCA) is an effective tool for spectral decorrelation of hyperspectral imagery, and PCA-based spectral transforms have been employed successfully in co...
Qian Du, James E. Fowler