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» Parametric Process Model Inference
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ICML
2008
IEEE
14 years 8 months ago
Modeling interleaved hidden processes
Hidden Markov models assume that observations in time series data stem from some hidden process that can be compactly represented as a Markov chain. We generalize this model by as...
Niels Landwehr
NIPS
2003
13 years 9 months ago
Probabilistic Inference in Human Sensorimotor Processing
When we learn a new motor skill, we have to contend with both the variability inherent in our sensors and the task. The sensory uncertainty can be reduced by using information abo...
Konrad P. Körding, Daniel M. Wolpert
ICIP
2002
IEEE
14 years 9 months ago
Parametric contour tracking using unscented Kalman filter
This paper presents an efficient method to integrate various spatial-temporal constraints to regularize the contour tracking. The global shape of the contour is represented in a p...
Yunqiang Chen, Thomas S. Huang, Yong Rui
DATE
2000
IEEE
136views Hardware» more  DATE 2000»
13 years 12 months ago
Parametric Fault Simulation and Test Vector Generation
Process variation has forever been the major fail cause of analog circuit where small deviations in component values cause large deviations in the measured output parameters. This...
Khaled Saab, Naim Ben Hamida, Bozena Kaminska
VTC
2006
IEEE
14 years 1 months ago
Feasible Link Statistics for Adaptive Ad Hoc Networks
— The dynamic nature of ad hoc networks advocates the use of adaptive schemes to optimize network performance. Such adaptive schemes require local observations of prevailing netw...
Senan J. Doyle, Timothy K. Forde, Linda Doyle