877 search results - page 4 / 176 » Classifier learning with a new locality regularization metho... |
KDD
1995
ACM
13 years 10 months ago
1995
ACM
The Bayesianclassifier is a simple approachto classification that producesresults that are easy for people to interpret. In many cases, the Bayesianclassifieris at leastasaccurate...
ICRA
2000
IEEE
13 years 11 months ago
2000
IEEE
This paper presents a new appearance-based place recognition system for topological localization. The method uses a panoramic vision system to sense the environment. Color images ...
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
Multiple observation improves the performance of 3D object classification. However, since the distribution of feature vectors obtained from multiple view points have strong nonlin...
ECML
2007
Springer
13 years 10 months ago
2007
Springer
Class binarizations are effective methods for improving weak learners by decomposing multi-class problems into several two-class problems. This paper analyzes how these methods can...
CVPR
2007
IEEE
14 years 8 months ago
2007
IEEE
The existing methods for offline training of cascade classifiers take a greedy search to optimize individual classifiers in the cascade, leading inefficient overall performance. W...