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» Learning Low-Level Vision
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ECCV
2008
Springer
14 years 10 months ago
SERBoost: Semi-supervised Boosting with Expectation Regularization
The application of semi-supervised learning algorithms to large scale vision problems suffers from the bad scaling behavior of most methods. Based on the Expectation Regularization...
Amir Saffari, Helmut Grabner, Horst Bischof
CVPR
2008
IEEE
14 years 10 months ago
Dynamic visual category learning
Dynamic visual category learning calls for efficient adaptation as new training images become available or new categories are defined, existing training images or categories becom...
Tom Yeh, Trevor Darrell
ACCV
2007
Springer
14 years 2 months ago
MAPACo-Training: A Novel Online Learning Algorithm of Behavior Models
The traditional co-training algorithm, which needs a great number of unlabeled examples in advance and then trains classifiers by iterative learning approach, is not suitable for ...
Heping Li, Zhanyi Hu, Yihong Wu, Fuchao Wu
C5
2003
IEEE
14 years 2 months ago
Initial Experiences of ALAN-K: An Advanced LeArning Network in Kyoto
This paper describes the start-up phase of the ALAN-K (Advanced LeArning Network in Kyoto) project, which is part of a major effort to create new learning environments for element...
Shin'ichi Konomi, Hiroki Karuno