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TRECVID
2008
10 years 3 months ago
TRECVid 2008 High Level Feature Extraction Experiments at JOANNEUM RESEARCH
This paper describes our experiments for the high level feature extraction task in TRECVid 2008. We submitted the following six runs:
Roland Mörzinger, Georg Thallinger
NIPS
2008
10 years 3 months ago
Transfer Learning by Distribution Matching for Targeted Advertising
We address the problem of learning classifiers for several related tasks that may differ in their joint distribution of input and output variables. For each task, small
Steffen Bickel, Christoph Sawade, Tobias Scheffer
COLT
2008
Springer
10 years 3 months ago
Does Unlabeled Data Provably Help? Worst-case Analysis of the Sample Complexity of Semi-Supervised Learning
We study the potential benefits to classification prediction that arise from having access to unlabeled samples. We compare learning in the semi-supervised model to the standard, ...
Shai Ben-David, Tyler Lu, Dávid Pál
RTCSA
2007
IEEE
10 years 7 months ago
Activity Recognition Based on Semi-supervised Learning
Activity recognition is a hot topic in context-aware computing. In activity recognition, machine learning techniques have been widely applied to learn the activity models from lab...
Donghai Guan, Weiwei Yuan, Young-Koo Lee, Andrey G...
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