1139 search results - page 88 / 228 » Boosting strategy for classification |
JMLR
2008
13 years 10 months ago
2008
We introduce a computationally feasible, "constructive" active learning method for binary classification. The learning algorithm is initially formulated for separable cl...
ICCV
2007
IEEE
14 years 2 months ago
2007
IEEE
In many computer vision applications, such as face recognition and hand pose estimation, we need systems that can recognize a very large number of classes. Large margin classifica...
CIKM
2006
Springer
14 years 1 months ago
2006
Springer
The widespread use of templates on the Web is considered harmful for two main reasons. Not only do they compromise the relevance judgment of many web IR and web mining methods suc...
CVPR
2008
IEEE
13 years 12 months ago
2008
IEEE
We consider the problem of visual categorization with minimal supervision during training. We propose a partbased model that loosely captures structural information. We represent ...
AAAI
2000
13 years 11 months ago
2000
Selective sampling, a form of active learning, reduces the cost of labeling training data by asking only for the labels of the most informative unlabeled examples. We introduce a ...