46 search results - page 1 / 10 » Multi-Class Active Learning for Image Classification |
Publication
One of the principal bottlenecks in applying learning techniques to classification problems is the large amount of labeled training data required. Especially for images and video, ...
CVPR
2010
IEEE
14 years 23 days ago
2010
IEEE
We present an active learning framework to simultaneously learn appearance and contextual models for scene understanding tasks (multi-class classification). Existing multi-class a...
IJCV
2008
13 years 4 months ago
2008
Multi-class image segmentation has made significant advances in recent years through the combination of local and global features. One important type of global feature is that of i...
MICCAI
2010
Springer
13 years 2 months ago
2010
Springer
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
ICRA
2010
IEEE
13 years 2 months ago
2010
IEEE
Accurate image classification is crucial in many robotics and surveillance applications