1344 search results - page 83 / 269 » Learning Classifiers from Semantically Heterogeneous Data |
CVPR
2006
IEEE
14 years 11 months ago
2006
IEEE
We present a method to automatically learn object categories from unlabeled images. Each image is represented by an unordered set of local features, and all sets are embedded into...
VLSISP
2010
13 years 7 months ago
2010
Abstract In case of insufficient data samples in highdimensional classification problems, sparse scatters of samples tend to have many ‘holes’—regions that have few or no nea...
CEAS
2007
Springer
14 years 27 days 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...
SSPR
2004
Springer
14 years 2 months ago
2004
Springer
Abstract. In surveillance systems for monitoring people behaviour, it is imporant to build systems that can adapt to the signatures of the people tasks and movements in the environ...
NIPS
2003
13 years 10 months ago
2003
We consider the general problem of learning from labeled and unlabeled data, which is often called semi-supervised learning or transductive inference. A principled approach to sem...