712 search results - page 7 / 143 » Pruning Training Sets for Learning of Object Categories |
EPIA
2009
Springer
14 years 2 months ago
2009
Springer
Different types of visual object categories can be found in real-world applications. Some categories are very heterogeneous in terms of local features (broad categories) while oth...
CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
Learning models for recognizing objects with few or no training examples is important, due to the intrinsic longtailed distribution of objects in the real world. In this paper, we...
ICML
1998
IEEE
14 years 8 months ago
1998
IEEE
In this work, we present a new bottom-up algorithmfor decision tree pruning that is very e cient requiring only a single pass through the given tree, and prove a strong performanc...
ECCV
2010
Springer
14 years 27 days ago
2010
Springer
We propose a category-independent method to produce a bag of regions and rank them, such that top-ranked regions are likely to be good segmentations of different objects. Our key ...
CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
For object category recognition to scale beyond a small number of classes, it is important that algorithms be able to learn from a small amount of labeled data per additional clas...