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95
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MEMOCODE
2006
IEEE
15 years 6 months ago
A scenario-aware data flow model for combined long-run average and worst-case performance analysis
Data flow models are used for specifying and analysing signal processing and streaming applications. However, traditional data flow models are either not capable of expressing t...
Bart D. Theelen, Marc Geilen, Twan Basten, Jeroen ...
110
Voted
DAGSTUHL
2009
15 years 1 months ago
Using Architecture Models to Support the Generation and Operation of Component-Based Adaptive Systems
Modelling architectural information is particularly important because of the acknowledged crucial role of software architecture in raising the level of abstraction during developme...
Nelly Bencomo, Gordon S. Blair
129
Voted
ROBOCUP
2007
Springer
99views Robotics» more  ROBOCUP 2007»
15 years 7 months ago
Instance-Based Action Models for Fast Action Planning
Abstract. Two main challenges of robot action planning in real domains are uncertain action effects and dynamic environments. In this paper, an instance-based action model is lear...
Mazda Ahmadi, Peter Stone
117
Voted
IJCV
2008
188views more  IJCV 2008»
15 years 26 days ago
Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
Elise Arnaud, Étienne Mémin
121
Voted
ENTCS
2010
97views more  ENTCS 2010»
14 years 10 months ago
A Framework for Modelling and Simulating Networks of Cells
Several complex biological phenomena are to be modelled in terms of a large and dynamic network of compartments, where the interplay between inter-compartment and intra-compartmen...
Sara Montagna, Mirko Viroli