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128
Voted
ECML
2007
Springer
15 years 7 months ago
2007
Springer
Abstract. Principal component analysis (PCA) is a well-known classical data analysis technique. There are a number of algorithms for solving the problem, some scaling better than o...
CVPR
2010
IEEE
15 years 6 months ago
2010
IEEE
Enlarging or reducing the template size by adding new parts, or removing parts of the template, according to their suitability for tracking, requires the ability to deal with the ...
105
Voted
ICDM
2005
IEEE
15 years 6 months ago
2005
IEEE
With the proliferation of extremely high-dimensional data, feature selection algorithms have become indispensable components of the learning process. Strangely, despite extensive ...
123
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ICMCS
2005
IEEE
15 years 6 months ago
2005
IEEE
In this paper we present a novel framework for generic object class detection by integrating Kernel PCA with AdaBoost. The classifier obtained in this way is invariant to changes...
115
Voted
NLDB
2005
Springer
15 years 6 months ago
2005
Springer
Abstract. Automated Text Categorization has reached the levels of accuracy of human experts. Provided that enough training data is available, it is possible to learn accurate autom...