502 search results - page 82 / 101 » Learning from General Label Constraints |
FOCS
2010
IEEE
13 years 6 months ago
2010
IEEE
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...
AUSDM
2008
Springer
13 years 10 months ago
2008
Springer
Supervised text categorization is a machine learning task where a predefined category label is automatically assigned to a previously unlabelled document based upon characteristic...
KDD
2009
ACM
14 years 9 months ago
2009
ACM
Tag recommendation is the task of predicting a personalized list of tags for a user given an item. This is important for many websites with tagging capabilities like last.fm or de...
CN
2006
13 years 8 months ago
2006
The expanding and dynamic nature of the Web poses enormous challenges to most data mining techniques that try to extract patterns from Web data, such as Web usage and Web content....
IVC
2010
13 years 7 months ago
2010
We propose an algorithm for automatically obtaining a segmentation of a rigid object in a sequence of images that are calibrated for camera pose and intrinsic parameters. Until re...