1174 search results - page 34 / 235 » Boosting for transfer learning |
CVPR
2005
IEEE
15 years 11 months ago
2005
IEEE
: In many computer vision classification problems, both the error and time characterizes the quality of a decision. We show that such problems can be formalized in the framework of...
122
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PSIVT
2007
Springer
15 years 3 months ago
2007
Springer
In this article a robust and real-time hand gesture detection and recognition system for dynamic environments is proposed. The system is based on the use of boosted classifiers for...
91
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DIS
2010
Springer
14 years 8 months ago
2010
Springer
Abstract. In multi-instance learning, each example is described by a bag of instances instead of a single feature vector. In this paper, we revisit the idea of performing multi-ins...
ICML
2010
IEEE
14 years 11 months ago
2010
IEEE
In this paper, we investigate a new machine learning framework called Online Transfer Learning (OTL) that aims to transfer knowledge from some source domain to an online learning ...
AAAI
2011
13 years 9 months ago
2011
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...