293 search results - page 6 / 59 » Methods for learning classifier combinations: no clear winne... |
CLEF
2010
Springer
13 years 9 months ago
2010
Springer
This paper represents a description of our approach to the problem of topological localization of a mobile robot using visual information. Our method has been developed for ImageCL...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
ACCV
2007
Springer
14 years 2 months ago
2007
Springer
This paper presents a method for classifying the direction of movement and for segmenting objects simultaneously using features of space-time patches. Our approach uses vector quan...
ICPR
2010
IEEE
14 years 3 days ago
2010
IEEE
In this paper, we present a new method to design customizable self-evolving fuzzy rule-based classifiers. The presented approach combines an incremental clustering algorithm with a...
ICMLC
2010
Springer
13 years 6 months ago
2010
Springer
: Bagging (Bootstrap Aggregating) has been proved to be a useful, effective and simple ensemble learning methodology. In generic bagging methods, all the classifiers which are trai...