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» Adaptive object tracking by learning background context
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CVPR
2006
IEEE
14 years 10 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
C5
2004
IEEE
14 years 9 days ago
Skeleton - Easy Simulation System
Skeleton is a visual scripting environment as an extension of Squeak etoy [1] with Connectors [2] system to make mathematical and physical simulation for non professional computer...
Takashi Yamamiya
BMCBI
2006
153views more  BMCBI 2006»
13 years 8 months ago
Automatic document classification of biological literature
Background: Document classification is a wide-spread problem with many applications, from organizing search engine snippets to spam filtering. We previously described Textpresso, ...
David Chen, Hans-Michael Müller, Paul W. Ster...

Publication
383views
14 years 8 months ago
Hunting Nessie -- Real-Time Abnormality Detection from Webcams
We present a data-driven, unsupervised method for unusual scene detection from static webcams. Such time-lapse data is usually captured with very low or varying framerate. This ...
Michael D. Breitenstein, Helmut Grabner, Luc Van G...
CEC
2009
IEEE
14 years 3 months ago
What is situated evolution?
—In this paper we discuss the notion of situated evolution. Our treatment includes positioning situated evolution on the map of evolutionary processes in terms of time- and space...
Martijn C. Schut, Evert Haasdijk, A. E. Eiben