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CVPR
2005
IEEE
15 years 8 days ago
Optimal Sub-Shape Models by Minimum Description Length
Active shape models are a powerful and widely used tool to interpret complex image data. By building models of shape variation they enable search algorithms to use a priori knowle...
Georg Langs, Philipp Peloschek, Horst Bischof
ICDE
2008
IEEE
139views Database» more  ICDE 2008»
14 years 11 months ago
Maintaining Connectivity in Dynamic Multimodal Network Models
Network data models are frequently used as a mechanism to describe the connectivity between spatial features in many emerging GIS applications (location-based services, transporta...
Petko Bakalov, Erik G. Hoel, Wee-Liang Heng, Vassi...
AIED
2009
Springer
14 years 4 months ago
Collaborative Dialog While Studying Worked-out Examples
Self-explaining is a beneficial learning strategy for studying worked-out examples because it either supplies missing information through the generation of inferences or because it...
Robert G. M. Hausmann, Timothy J. Nokes, Kurt VanL...
GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
14 years 4 months ago
Techniques for highly multiobjective optimisation: some nondominated points are better than others
The research area of evolutionary multiobjective optimization (EMO) is reaching better understandings of the properties and capabilities of EMO algorithms, and accumulating much e...
David W. Corne, Joshua D. Knowles
IPPS
2006
IEEE
14 years 4 months ago
Multiple sequence alignment by quantum genetic algorithm
In this paper we describe a new approach for the well known problem in bioinformatics: Multiple Sequence Alignment (MSA). MSA is fundamental task as it represents an essential pla...
L. Abdesslem, M. Soham, B. Mohamed