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ICCV
2005
IEEE
14 years 9 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu
ICPADS
1994
IEEE
13 years 12 months ago
Stochastic Modeling of Scaled Parallel Programs
Testingthe performance scalabilityof parallelprograms can be a time consuming task, involving many performance runs for different computer configurations, processor numbers, and p...
Allen D. Malony, Vassilis Mertsiotakis, Andreas Qu...
AFRIGRAPH
2003
ACM
14 years 1 months ago
Psychophysically based artistic techniques for increased perceived realism of virtual environments
The perceived realism of a computer generated image depends on the accuracy of the modeling and illumination calculations, the limitations of the display device, and the way in wh...
Peter Longhurst, Patrick Ledda, Alan Chalmers
HUC
2010
Springer
13 years 8 months ago
Toolkit to support intelligibility in context-aware applications
Context-aware applications should be intelligible so users can better understand how they work and improve their trust in them. However, providing intelligibility is nontrivial an...
Brian Y. Lim, Anind K. Dey
CONCUR
2001
Springer
14 years 10 days ago
On the Power of Labels in Transition Systems
Abstract. In this paper we discuss the role of labels in transition systems with regard to bisimilarity and model checking problems. We suggest a general reduction from labelled tr...
Jirí Srba