6 search results - page 1 / 2 » A Multiple Instance Learning Approach toward Optimal Classif... |
ICPR
2010
IEEE
13 years 11 months ago
2010
IEEE
ECCV
2010
Springer
13 years 11 months ago
2010
Springer
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
CVPR
2009
IEEE
15 years 6 months ago
2009
IEEE
The computer aided diagnosis (CAD) problems of detecting
potentially diseased structures from medical images are
typically distinguished by the following challenging characterist...
CIKM
2008
Springer
14 years 29 days ago
2008
Springer
Proactive learning is a generalization of active learning designed to relax unrealistic assumptions and thereby reach practical applications. Active learning seeks to select the m...
IJDMMM
2008
13 years 11 months ago
2008
: Combining multiple data sources, each with its own features, to achieve optimal inference has received a lot of attention in recent years. In inference from multiple data sources...