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» Tackling Large State Spaces in Performance Modelling
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ICIP
2007
IEEE
14 years 10 months ago
Markov Random Field Model-Based Edge-Directed Image Interpolation
Abstract-- This paper presents an edge-directed image interpolation algorithm. In the proposed algorithm, the edge directions are implicitly estimated with a statistical-based appr...
Min Li, Truong Q. Nguyen
ICSE
2010
IEEE-ACM
13 years 11 months ago
Efficient hybrid typestate analysis by determining continuation-equivalent states
Typestate analysis determines whether a program violates a set of finite-state properties. Because the typestate-analysis problem is statically undecidable, researchers have propo...
Eric Bodden
EUROPAR
2005
Springer
14 years 2 months ago
An Approach to Performance Prediction for Parallel Applications
Abstract. Accurately modeling and predicting performance for largescale applications becomes increasingly difficult as system complexity scales dramatically. Analytic predictive mo...
Engin Ipek, Bronis R. de Supinski, Martin Schulz, ...
ICIP
2003
IEEE
14 years 2 months ago
Texture analysis: an adaptive probabilistic approach
Two main issues arise when working in the area of texture segmentation: the need to describe the texture accurately by capturing its underlying structure, and the need to perform ...
Karen Brady, Ian Jermyn, Josiane Zerubia
IAT
2009
IEEE
14 years 3 months ago
Introducing Communication in Dis-POMDPs with Finite State Machines
Distributed Partially Observable Markov Decision Problems (DisPOMDPs) are emerging as a popular approach for modeling sequential decision making in teams operating under uncertain...
Yuki Iwanari, Makoto Tasaki, Makoto Yokoo, Atsushi...