712 search results - page 62 / 143 » Pruning Training Sets for Learning of Object Categories |
ECCV
2008
Springer
14 years 11 months ago
2008
Springer
As computer vision research considers more object categories and greater variation within object categories, it is clear that larger and more exhaustive datasets are necessary. How...
ICPR
2004
IEEE
14 years 10 months ago
2004
IEEE
In this paper, a new selective sampling method for the active learning framework is presented. Initially, a small training set ? and a large unlabeled set ? are given. The goal is...
KDD
2009
ACM
14 years 9 months ago
2009
ACM
We present a new approach to large-scale graph mining based on so-called backbone refinement classes. The method efficiently mines tree-shaped subgraph descriptors under minimum f...
ICCV
2011
IEEE
12 years 9 months ago
2011
IEEE
Human-nameable visual “attributes” can benefit various recognition tasks. However, existing techniques restrict these properties to categorical labels (for example, a person ...
CVPR
2012
IEEE
11 years 11 months ago
2012
IEEE
The ability to normalize pose based on super-category landmarks can significantly improve models of individual categories when training data are limited. Previous methods have co...