999 search results - page 104 / 200 » Efficient Learning to Label Images |
127
Voted
CVPR
2009
IEEE
16 years 5 months ago
2009
IEEE
We study the problem of object classification when training
and test classes are disjoint, i.e. no training examples of
the target classes are available. This setup has hardly be...
BMVC
2010
14 years 8 months ago
2010
Kernel methods yield state-of-the-art performance in certain applications such as image classification and object detection. However, large scale problems require machine learning...
ISBI
2008
IEEE
15 years 11 months ago
2008
IEEE
Tracking of left ventricles in 3D echocardiography is a challenging topic because of the poor quality of ultrasound images and the speed consideration. In this paper, a fast and a...
ICCV
2009
IEEE
16 years 3 months ago
2009
IEEE
Markov Random Field is now ubiquitous in many formulations
of various vision problems. Recently, optimization
of higher-order potentials became practical using higherorder
graph...
ICCV
2009
IEEE
16 years 3 months ago
2009
IEEE
Random Forests (RFs) have become commonplace
in many computer vision applications. Their
popularity is mainly driven by their high computational
efficiency during both training ...