34 search results - page 4 / 7 » Comparison of Adaboost and ADTboost for Feature Subset Selec... |
ICML
2005
IEEE
14 years 10 months ago
2005
IEEE
The detection of faces in images is fundamentally a rare event detection problem. Cascade classifiers provide an efficient computational solution, by leveraging the asymmetry in t...
IVC
2006
13 years 9 months ago
2006
We present a systematic comparison of machine learning methods applied to the problem of fully automatic recognition of facial expressions, including AdaBoost, support vector mach...
AAAI
2008
14 years 3 days ago
2008
Fisher score and Laplacian score are two popular feature selection algorithms, both of which belong to the general graph-based feature selection framework. In this framework, a fe...
ACIVS
2009
Springer
14 years 4 months ago
2009
Springer
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...
TNN
2008
13 years 9 months ago
2008
In this paper, we argue that for a C-class classification problem, C 2-class classifiers, each of which discriminating one class from the other classes and having a characteristic ...