3449 search results - page 26 / 690 » A Framework for Multiple-Instance Learning |
ECTEL
2006
Springer
13 years 11 months ago
2006
Springer
In this poster, we will propose a framework for finding, recommending and inserting learning objects in a digital repository level, exploiting the user context that is captured fro...
CVRMED
1995
Springer
13 years 11 months ago
1995
Springer
This paper presents a technique for the segmentation of anatomic structures in medical images using a topologically adaptable snakes model. The model is set in the framework of dom...
IDA
2007
Springer
13 years 7 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...
ATAL
2007
Springer
14 years 1 months ago
2007
Springer
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
Although recent studies have shown that unlabeled data are beneficial to boosting the image retrieval performance, very few approaches for image retrieval can learn with labeled a...