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PRIB
2010
Springer
242views Bioinformatics» more  PRIB 2010»
13 years 6 months ago
Consensus of Ambiguity: Theory and Application of Active Learning for Biomedical Image Analysis
Abstract. Supervised classifiers require manually labeled training samples to classify unlabeled objects. Active Learning (AL) can be used to selectively label only “ambiguous...
Scott Doyle, Anant Madabhushi
FGR
2011
IEEE
271views Biometrics» more  FGR 2011»
12 years 11 months ago
Active conditional models
— Matching images with large geometric and iconic changes (e.g. faces under different poses and facial expressions) is an open research problem in computer vision. There are two ...
Ying Chen, Fernando De la Torre
DIS
2009
Springer
14 years 2 months ago
MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
Yasser El-Manzalawy, Vasant Honavar
WACV
2005
IEEE
14 years 1 months ago
Learning to Track Objects Through Unobserved Regions
As tracking systems become more effective at reliably tracking multiple objects over extended periods of time within single camera views and across overlapping camera views, incre...
Chris Stauffer
JCAL
1998
57views more  JCAL 1998»
13 years 7 months ago
Fostering superficial learning
In this paper we discuss different views of learning and what it means to follow rules. The activities, the language and context of expertise and knowledge have traditionally ofte...
Robert Ramberg, Klas Karlgren