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CORR
2006
Springer
82views Education» more  CORR 2006»
15 years 6 months ago
Explicit Randomness is not Necessary when Modeling Probabilistic Encryption
Although good encryption functions are probabilistic, most symbolic models do not capture this aspect explicitly. A typical solution, recently used to prove the soundness of such ...
Véronique Cortier, Heinrich Hördegen, ...
TMI
2008
154views more  TMI 2008»
15 years 6 months ago
Brain Anatomical Structure Segmentation by Hybrid Discriminative/Generative Models
In this paper, a hybrid discriminative/generative model for brain anatomical structure segmentation is proposed. The learning aspect of the approach is emphasized. In the discrimin...
Zhuowen Tu, Katherine Narr, Piotr Dollár, I...
ICCV
2009
IEEE
1190views Computer Vision» more  ICCV 2009»
16 years 11 months ago
You'll never walk alone: modeling social behavior for multi-target tracking
Object tracking typically relies on a dynamic model to predict the object’s location from its past trajectory. In crowded scenarios a strong dynamic model is particularly impo...
S. Pellegrini, A. Ess, K. Schindler, L. van Gool
ICDE
1996
IEEE
171views Database» more  ICDE 1996»
16 years 8 months ago
Advanced Transaction Models in Workflow Contexts
I n recent years, numerous transaction models have been proposed to address the problems posed by advanced database applications, but only a few of these models are being used in ...
Amr El Abbadi, C. Mohan, Divyakant Agrawal, Gustav...
PADS
2009
ACM
16 years 1 months ago
An Approach for Validation of Semantic Composability in Simulation Models
Semantic composability aims to ensure that the composition of simulation components is meaningful in terms of their expressed behavior, and achieves the desired objective of the n...
Claudia Szabo, Yong Meng Teo