712 search results - page 34 / 143 » Pruning Training Sets for Learning of Object Categories |
CVPR
2010
IEEE
13 years 7 months ago
2010
IEEE
This paper shows that the performance of a binary classifier can be significantly improved by the processing of structured unlabeled data, i.e. data are structured if knowing the ...
ICCV
2009
IEEE
15 years 2 months ago
2009
IEEE
We present a new variational level-set-based segmentation
formulation that uses both shape and intensity prior information
learned from a training set. By applying Bayes’
rule...
ICPR
2008
IEEE
14 years 3 months ago
2008
IEEE
Training a classifier for object category recognition using images on the Internet is an attractive approach due to its scalability. However, a big challenge in this approach is ...
ICIAR
2005
Springer
14 years 2 months ago
2005
Springer
In this paper, a novel and efficient automatic image categorization system is proposed. This system integrates the MIL-based and global-featurebased SVMs for categorization. The IP...
COGSCI
2010
13 years 9 months ago
2010
Learning to understand a single causal system can be an achievement, but humans must learn about multiple causal systems over the course of a lifetime. We present a hierarchical B...