712 search results - page 42 / 143 » Pruning Training Sets for Learning of Object Categories |
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, ...
WWW
2004
ACM
14 years 9 months ago
2004
ACM
We address the problem of integrating objects from a source taxonomy into a master taxonomy. This problem is not only currently pervasive on the web, but also important to the eme...
GECCO
2008
Springer
13 years 10 months ago
2008
Springer
In e-learning initiatives content creators are usually required to arrange a set of learning resources in order to present them in a comprehensive way to the learner. Course mater...
CORR
2010
Springer
13 years 9 months ago
2010
Springer
Adaptive sparse coding methods learn a possibly overcomplete set of basis functions, such that natural image patches can be reconstructed by linearly combining a small subset of t...
CVPR
2012
IEEE
11 years 11 months ago
2012
IEEE
Multiple Instance Learning (MIL) has been widely exploited in many computer vision tasks, such as image retrieval, object tracking and so on. To handle ambiguity of instance label...