41 search results - page 2 / 9 » Learning Syntactic Patterns Using Boosting and Other Classif... |
CORR
2008
Springer
13 years 6 months ago
2008
Springer
: Boosting is a general method for improving the accuracy of any given learning algorithm. In this paper we employ combination of Adaboost with Support Vector Machine (SVM) as comp...
IEEECIT
2007
IEEE
14 years 1 months ago
2007
IEEE
In machine learning, ensemble classifiers have been introduced for more accurate pattern classification than single classifiers. We propose a new ensemble learning method that emp...
SDM
2007
SIAM
13 years 8 months ago
2007
SIAM
We consider the supervised learning of a binary classifier from noisy observations. We use smooth boosting to linearly combine abstaining hypotheses, each of which maps a subcube...
ICB
2007
Springer
13 years 10 months ago
2007
Springer
LBP (Local Binary Pattern) as an image operator is used to extract LBPH (LBP histogram) features for texture description. In this paper, we present a novel method to use LBPH featu...
ICPR
2006
IEEE
14 years 7 months ago
2006
IEEE
This paper proposes a license plate detection algorithm using both global statistical features and local Haar-like features. Classifiers using global statistical features are cons...