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» On the Complexity of Partial Order Properties
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KDD
2009
ACM
152views Data Mining» more  KDD 2009»
16 years 6 months ago
A multi-relational approach to spatial classification
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
Richard Frank, Martin Ester, Arno Knobbe
SIMVIS
2003
15 years 7 months ago
An Experimental Study of the Behaviour of the Proxel-Based Simulation Algorithm
The paradigm of the proxel ("probability element") was recently introduced in order to provide a new algorithmic approach to analysing discrete-state stochastic models s...
Sanja Lazarova-Molnar, Graham Horton
ICIP
2005
IEEE
16 years 7 months ago
A dynamic Bezier curve model
Bezier curves (BC) are fundamental to a wide range of applications from computer-aided design through to object shape descriptions and surface mapping. Since BC only consider glob...
Ferdous Ahmed Sohel, Laurence S. Dooley, Gour C. K...
SIGSOFT
2006
ACM
16 years 6 months ago
Scenarios, goals, and state machines: a win-win partnership for model synthesis
Models are increasingly recognized as an effective means for elaborating requirements and exploring designs. For complex systems, model building is far from an easy task. Efforts ...
Christophe Damas, Bernard Lambeau, Axel van Lamswe...
CDC
2009
IEEE
156views Control Systems» more  CDC 2009»
15 years 10 months ago
The nullspace method - a unifying paradigm to fault detection
— The nullspace method is a powerful framework to solve the synthesis problem of fault detection filters in the most general setting. It is also well suited to address the least...
András Varga