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» Modeling components and frameworks with UML
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DAGM
2006
Springer
15 years 8 months ago
On-Line, Incremental Learning of a Robust Active Shape Model
Abstract. Active Shape Models are commonly used to recognize and locate different aspects of known rigid objects. However, they require an off-line learning stage, such that the ex...
Michael Fussenegger, Peter M. Roth, Horst Bischof,...
ENTCS
2010
127views more  ENTCS 2010»
15 years 4 months ago
Combining Model Reductions
Molecular biological models usually suffer from a large combinatorial explosion. Indeed, proteins form complexes and modify each others, which leads to the formation of a huge num...
Ferdinanda Camporesi, Jérôme Feret, H...
VLSISP
2008
134views more  VLSISP 2008»
15 years 4 months ago
Calibration of Abstract Performance Models for System-Level Design Space Exploration
ion of Abstract Performance Models for System-Level Design Space Exploration ANDY D. PIMENTEL, MARK THOMPSON, SIMON POLSTRA AND CAGKAN ERBAS Computer Systems Architecture Group, In...
Andy D. Pimentel, Mark Thompson, Simon Polstra, Ca...
IVC
2002
148views more  IVC 2002»
15 years 4 months ago
Detecting lameness using 'Re-sampling Condensation' and 'multi-stream cyclic hidden Markov models'
A system for the tracking and classification of livestock movements is presented. The combined `tracker-classifier' scheme is based on a variant of Isard and Blakes `Condensa...
Derek R. Magee, Roger D. Boyle
JMLR
2011
148views more  JMLR 2011»
14 years 11 months ago
Bayesian Generalized Kernel Mixed Models
We propose a fully Bayesian methodology for generalized kernel mixed models (GKMMs), which are extensions of generalized linear mixed models in the feature space induced by a repr...
Zhihua Zhang, Guang Dai, Michael I. Jordan