919 search results - page 8 / 184 » Generalizing over Several Learning Settings |
CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
For object category recognition to scale beyond a small number of classes, it is important that algorithms be able to learn from a small amount of labeled data per additional clas...
ML
2002
ACM
13 years 7 months ago
2002
ACM
Most classification algorithms receive as input a set of attributes of the classified objects. In many cases, however, the supplied set of attributes is not sufficient for creatin...
CIKM
2009
Springer
14 years 2 months ago
2009
Springer
Sets of named entities are used heavily at commercial search engines such as Google, Yahoo and Bing. Acquiring sets of entities typically consists of combining semi-supervised exp...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
In this paper we present an empirical study of object category recognition using generalized samples and a set of sequential tests. We study 33 categories, each consisting of a sm...
ICML
1998
IEEE
14 years 8 months ago
1998
IEEE
In this work, we present a new bottom-up algorithmfor decision tree pruning that is very e cient requiring only a single pass through the given tree, and prove a strong performanc...