189 search results - page 30 / 38 » Unsupervised Selective Transfer Learning for Object Recognit... |
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
Most modern computer vision systems for high-level
tasks, such as image classification, object recognition and
segmentation, are based on learning algorithms that are
able to se...
IJCV
2011
13 years 2 months ago
2011
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
MM
2003
ACM
14 years 1 months ago
2003
ACM
In this paper, we propose an approach that retrieves motion of objects from the videos based on the dynamic time warping of view invariant characteristics. The motion is represent...
AUSAI
2008
Springer
13 years 10 months ago
2008
Springer
Abstract. Graph-based representations have been used with considercess in computer vision in the abstraction and recognition of object shape and scene structure. Despite this, the ...
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
Active learning strategies can be useful when manual labeling
effort is scarce, as they select the most informative
examples to be annotated first. However, for visual category
...