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KES
2008
Springer
15 years 6 months ago
Super Resolution of Multispectral Images Using TV Image Models
Abstract. In this paper we propose a novel algorithm for the pansharpening of multispectral images based on the use of a Total Variation (TV) image prior. Within the Bayesian formu...
Miguel Vega, Javier Mateos, Rafael Molina, Aggelos...
QEST
2006
IEEE
16 years 21 days ago
Bound-Preserving Composition for Markov Reward Models
Stochastic orders can be applied to Markov reward models and used to aggregate models, while introducing a bounded error. Aggregation reduces the number of states in a model, miti...
David Daly, Peter Buchholz, William H. Sanders
WEBI
2009
Springer
16 years 1 months ago
Improving Movie Gross Prediction through News Analysis
—Traditional movie gross predictions are based on numerical and categorical movie data. But since the 1990s, text sources such as news have been proven to carry extra and meaning...
Wenbin Zhang, Steven Skiena
FSTTCS
2006
Springer
15 years 10 months ago
On Reduction Criteria for Probabilistic Reward Models
In recent papers, the partial order reduction approach has been adapted to reason about the probabilities for temporal properties in concurrent systems with probabilistic behaviour...
Marcus Größer, Gethin Norman, Christel ...
IPPS
2010
IEEE
15 years 4 months ago
Resource management of enterprise cloud systems using layered queuing and historical performance models
The automatic allocation of enterprise workload to resources can be enhanced by being able to make `whatif' response time predictions, whilst different allocations are being c...
David A. Bacigalupo, Jano van Hemert, Asif Usmani,...