41 search results - page 4 / 9 » Learning Syntactic Patterns Using Boosting and Other Classif... |
CVPR
2005
IEEE
14 years 10 days ago
2005
IEEE
In this paper, we propose a novel learning method, called Jensen-Shannon Boosting (JSBoost) and demonstrate its application to object recognition. JSBoost incorporates Jensen-Shan...
ANNPR
2006
Springer
13 years 10 months ago
2006
Springer
We present a multiclass classification system for gray value images through boosting. The feature selection is done using the LPBoost algorithm which selects suitable features of a...
GECCO
2008
Springer
13 years 7 months ago
2008
Springer
A genetic algorithm (GA) is utilised to discover known and novel PROSITE-like sequence templates that can be used to classify the sub-cellular location of eukaryotic proteins. Whi...
EVOW
2008
Springer
13 years 8 months ago
2008
Springer
Classifier fusion strategies have shown great potential to enhance the performance of pattern recognition systems. There is an agreement among researchers in classifier combination...
CIARP
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. Diversity is a key characteristic to obtain advantages of combining predictors. In this paper, we propose a modification of bagging to explicitly trade off diversity and ...