1180 search results - page 48 / 236 » An Instance Selection Approach to Multiple Instance Learning |
MLDM
2005
Springer
14 years 2 months ago
2005
Springer
In the context of large databases, data preparation takes a greater importance : instances and explanatory attributes have to be carefully selected. In supervised learning, instanc...
CVPR
2011
IEEE
13 years 4 months ago
2011
IEEE
We propose a new learning method which exploits temporal consistency to successfully learn a complex appearance model from a sparsely labeled training video. Our approach consists...
PR
2007
13 years 8 months ago
2007
In this paper, a novel automatic image annotation system is proposed, which integrates two sets of support vector machines (SVMs), namely the multiple instance learning (MIL)-base...
IJHIS
2008
13 years 8 months ago
2008
Meta-Learning has been successfully applied to acquire knowledge used to support the selection of learning algorithms. Each training example in Meta-Learning (i.e. each meta-exampl...
IDA
2007
Springer
13 years 8 months ago
2007
Springer
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...