150 search results - page 10 / 30 » Feature selection combining genetic algorithm and Adaboost c... |
111
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ICDAR
2009
IEEE
14 years 7 months ago
2009
IEEE
We present a method to detect characters on signboards in natural scene images. For many applications, both classifier with small computational cost and the efficient feature set,...
GECCO
2003
Springer
15 years 2 months ago
2003
Springer
This paper presents an approach for classifying students in order to predict their final grade based on features extracted from logged data in an education web-based system. A comb...
105
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ICCV
2005
IEEE
15 years 11 months ago
2005
IEEE
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
ICPR
2008
IEEE
15 years 11 months ago
2008
IEEE
Online Boosting is an effective incremental learning method which can update weak classifiers efficiently according to the object being trackedt. It is a promising technique for o...
BMCBI
2010
14 years 9 months ago
2010
Background: Feature selection techniques are critical to the analysis of high dimensional datasets. This is especially true in gene selection from microarray data which are common...