90 search results - page 5 / 18 » Semi-Supervised Learning with Very Few Labeled Training Exam... |
ICMCS
2010
IEEE
13 years 7 months ago
2010
IEEE
Labeling persons appearing in video frames with names detected from the video transcript helps improving the video content identification and search task. We develop a face naming...
SIGIR
2005
ACM
14 years 7 days ago
2005
ACM
Accurate topical categorization of user queries allows for increased effectiveness, efficiency, and revenue potential in general-purpose web search systems. Such categorization be...
ICCV
2009
IEEE
14 years 11 months ago
2009
IEEE
Visual categorization problems, such as object classification or action recognition,
are increasingly often approached using a detection strategy: a classifier function
is first ...
ECIR
2009
Springer
13 years 4 months ago
2009
Springer
Abstract. Active learning refers to the task of devising a ranking function that, given a classifier trained from relatively few training examples, ranks a set of additional unlabe...
CEAS
2007
Springer
13 years 10 months ago
2007
Springer
Active learning methods seek to reduce the number of labeled examples needed to train an effective classifier, and have natural appeal in spam filtering applications where trustwo...