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» Discretization of a Continuous Curve
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119
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ICMLA
2007
15 years 5 months ago
Maximum Likelihood Quantization of Genomic Features Using Dynamic Programming
Dynamic programming is introduced to quantize a continuous random variable into a discrete random variable. Quantization is often useful before statistical analysis or reconstruct...
Mingzhou (Joe) Song, Robert M. Haralick, Sté...
TSMC
2008
113views more  TSMC 2008»
15 years 3 months ago
Computational Methods for Verification of Stochastic Hybrid Systems
Stochastic hybrid system (SHS) models can be used to analyze and design complex embedded systems that operate in the presence of uncertainty and variability. Verification of reacha...
Xenofon D. Koutsoukos, Derek Riley
112
Voted
TOG
2008
129views more  TOG 2008»
15 years 3 months ago
Discrete elastic rods
We present a discrete treatment of adapted framed curves, parallel transport, and holonomy, thus establishing the language for a discrete geometric model of thin flexible rods wit...
Miklós Bergou, Max Wardetzky, Stephen Robin...
UAI
2004
15 years 5 months ago
Hybrid Influence Diagrams Using Mixtures of Truncated Exponentials
Mixtures of truncated exponentials (MTE) potentials are an alternative to discretization for representing continuous chance variables in influence diagrams. Also, MTE potentials c...
Barry R. Cobb, Prakash P. Shenoy
IEEECIT
2010
IEEE
15 years 2 months ago
Predicting Events for the Simulation of Hybrid Systems
The quality of the numeric simulation of hybrid systems highly depends on the capability of the simulator to detect discrete events during continuous evolutions. Due to the intera...
Kerstin Bauer, Klaus Schneider