55 search results - page 3 / 11 » Supervised Learning by Training on Aggregate Outputs |
VIP
2003
13 years 7 months ago
2003
To bridge the semantic gap in content-based image retrieval, detecting meaningful visual entities (e.g. faces, sky, foliage, buildings etc) in image content and classifying images...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
This paper studies the problem of learning from ambiguous supervision, focusing on the task of learning semantic correspondences. A learning problem is said to be ambiguously supe...
ICDAR
2009
IEEE
14 years 15 days ago
2009
IEEE
Training a system to recognize handwritten words is a task that requires a large amount of data with their correct transcription. However, the creation of such a training set, inc...
IJON
2002
13 years 5 months ago
2002
: A new supervised learning procedure for training RBF networks is proposed. It uses a pair of parallel running Kalman filters to sequentially update both the output weights and th...
CIKM
2011
Springer
12 years 5 months ago
2011
Springer
Machine learning often relies on costly labeled data, and this impedes its application to new classification and information extraction problems. This has motivated the developme...