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» Learning Nonlinear Dynamical Systems Using an EM Algorithm
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CISIS
2011
IEEE
13 years 9 months ago
Improving Scheduling Techniques in Heterogeneous Systems with Dynamic, On-Line Optimisations
—Computational performance increasingly depends on parallelism, and many systems rely on heterogeneous resources such as GPUs and FPGAs to accelerate computationally intensive ap...
Marcin Bogdanski, Peter R. Lewis, Tobias Becker, X...
HYBRID
2000
Springer
15 years 1 months ago
Beyond HYTECH: Hybrid Systems Analysis Using Interval Numerical Methods
Abstract. Sincehybridembeddedsystemsarepervasiveandoftensafetycritical, guarantees about their correct performance are desirable. The hybrid systemsmodelcheckerHyTech providessuch ...
Thomas A. Henzinger, Benjamin Horowitz, Rupak Maju...
ICML
2006
IEEE
15 years 10 months ago
Predictive linear-Gaussian models of controlled stochastic dynamical systems
We introduce the controlled predictive linearGaussian model (cPLG), a model that uses predictive state to model discrete-time dynamical systems with real-valued observations and v...
Matthew R. Rudary, Satinder P. Singh
DSMML
2004
Springer
15 years 3 months ago
Transformations of Gaussian Process Priors
Abstract. Gaussian process prior systems generally consist of noisy measurements of samples of the putatively Gaussian process of interest, where the samples serve to constrain the...
Roderick Murray-Smith, Barak A. Pearlmutter
TIP
2008
153views more  TIP 2008»
14 years 9 months ago
Hierarchical Color Correction for Camera Cell Phone Images
In this paper, we propose a hierarchical color correction algorithm for enhancing the color of digital images obtained from low quality digital image capture devices such as cell ...
Hasib Siddiqui, Charles A. Bouman