205 search results - page 3 / 41 » Boosting Method for Local Learning in Statistical Pattern Re... |
SCIA
2005
Springer
13 years 11 months ago
2005
Springer
Abstract. This paper deals, for the first time, with an analysis of localization capabilities of weakly supervised categorization systems. Most existing categorization approaches ...
AUSAI
2008
Springer
13 years 8 months ago
2008
Springer
This paper explores the use of alternating sequential patterns of local features and saccading actions to learn robust and compact object representations. The temporal encoding rep...
ROCAI
2004
Springer
13 years 11 months ago
2004
Springer
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
MCS
2000
Springer
13 years 9 months ago
2000
Springer
Ensemble methods are learning algorithms that construct a set of classi ers and then classify new data points by taking a (weighted) vote of their predictions. The original ensembl...
IJCAI
1989
13 years 7 months ago
1989
Classification methods from statistical pattern recognition, neural nets, and machine learning were applied to four real-world data sets. Each of these data sets has been previous...