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AAAI
2007
14 years 3 days ago
On the Partial Observability of Temporal Uncertainty
We explore a means to both model and reason about partial observability within the scope of constraintbased temporal reasoning. Prior studies of uncertainty in Temporal CSPs have ...
Michael D. Moffitt
ICPR
2008
IEEE
14 years 4 months ago
On-line boosted cascade for object detection
On-line boosting is a recent advancement in the field of machine learning that has opened a new spectrum of possibilities in many diverse fields. With respect to a static strong...
Ingrid Visentini, Lauro Snidaro, Gian Luca Foresti
TREC
2007
13 years 11 months ago
Feed Distillation Using AdaBoost and Topic Maps
This paper retains the experiences by participating in TREC 2007 Blog Track ‘Feed Distillation’. To perform the run various classifiers are combined, which analyze title-, co...
Wai-Lung Lee, Andreas Lommatzsch, Christian Scheel
FGR
2004
IEEE
161views Biometrics» more  FGR 2004»
14 years 1 months ago
AdaBoost with Totally Corrective Updates for Fast Face Detection
An extension of the AdaBoost learning algorithm is proposed and brought to bear on the face detection problem. In each weak classifier selection cycle, the novel totally correctiv...
Jan Sochman, Jiri Matas
CVPR
2006
IEEE
14 years 11 months ago
On-line Boosting and Vision
Boosting has become very popular in computer vision, showing impressive performance in detection and recognition tasks. Mainly off-line training methods have been used, which impl...
Helmut Grabner, Horst Bischof