25 search results - page 2 / 5 » The Utility of Knowledge Transfer for Noisy Data |
AAAI
2008
13 years 7 months ago
2008
Transfer learning addresses the problem of how to utilize plenty of labeled data in a source domain to solve related but different problems in a target domain, even when the train...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
Traditional machine learning makes a basic assumption: the training and test data should be under the same distribution. However, in many cases, this identicaldistribution assumpt...
MM
2009
ACM
13 years 11 months ago
2009
ACM
Automatic video search based on semantic concept detectors has recently received significant attention. Since the number of available detectors is much smaller than the size of h...
ATAL
2010
Springer
13 years 5 months ago
2010
Springer
We introduce the novel problem of inter-robot transfer learning for perceptual classification of objects, where multiple heterogeneous robots communicate and transfer learned obje...
ICDM
2009
IEEE
13 years 2 months ago
2009
IEEE
There are many clustering tasks which are closely related in the real world, e.g. clustering the web pages of different universities. However, existing clustering approaches neglec...