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» The fundamentals of hybrid systems modelers
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CSDA
2007
105views more  CSDA 2007»
14 years 9 months ago
GSA-based maximum likelihood estimation for threshold vector error correction model
The log-likelihood function of threshold vector error correction models is neither differentiable, nor smooth with respect to some parameters. Therefore, it is very difficult to ...
Zheng Yang, Zheng Tian, Zixia Yuan
CVPR
2003
IEEE
15 years 12 months ago
Motion Deblurring Using Hybrid Imaging
Motion blur due to camera motion can significantly degrade the quality of an image. Since the path of the camera motion can be arbitrary, deblurring of motion blurred images is a ...
Moshe Ben-Ezra, Shree K. Nayar
HYBRID
2007
Springer
15 years 4 months ago
Robust, Optimal Predictive Control of Jump Markov Linear Systems Using Particles
Hybrid discrete-continuous models, such as Jump Markov Linear Systems, are convenient tools for representing many real-world systems; in the case of fault detection, discrete jumps...
Lars Blackmore, Askar Bektassov, Masahiro Ono, Bri...
DNA
2001
Springer
15 years 2 months ago
The Fidelity of the Tag-Antitag System
In the universal DNA chip method, target RNAs are mapped onto a set of DNA tags. Parallel hybridization of these tags with an indexed, complementary antitag array then provides an ...
John A. Rose, Russell J. Deaton, Masami Hagiya, Ak...
HYBRID
2000
Springer
15 years 1 months ago
Hybrid Systems Diagnosis
This paper reports on an on-going project to investigate techniques to diagnose complex dynamical systems that are modeled as hybrid systems. In particular, we examine continuous s...
Sheila A. McIlraith, Gautam Biswas, Dan Clancy, Vi...