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IGARSS
2010
15 years 5 months ago
Support vector machines regression for estimation of forest parameters from airborne laser scanning data
Estimation of forest stand parameters from airborne laser scanning data relies on the selection of laser metrics sets and numerous field plots for model calibration. In mountainou...
Jean-Matthieu Monnet, Frédéric Berge...
ICASSP
2011
IEEE
14 years 10 months ago
Non-parametric bayesian measurement noise density estimation in non-linear filtering
In this study, we investigate online Bayesian estimation of the measurement noise density of a given state space model using particle filters and Dirichlet process mixtures. Diri...
Emre Özkan, Saikat Saha, Fredrik Gustafsson, ...
ENTCS
2007
101views more  ENTCS 2007»
15 years 7 months ago
Parametric Performance Contracts: Non-Markovian Loop Modelling and an Experimental Evaluation
Even with todays hardware improvements, performance problems are still common in many software systems. An approach to tackle this problem for component-based software architectur...
Heiko Koziolek, Viktoria Firus
ICASSP
2008
IEEE
16 years 1 months ago
Improving the modeling of the noise part in the harmonic plus noise model of speech
Harmonic + Noise model (HNM) is a hybrid model of speech with a harmonic component and a noise component. While harmonic part describes efficiently the periodicities in speech si...
Yannis Pantazis, Yannis Stylianou
ICML
2007
IEEE
16 years 8 months ago
Infinite mixtures of trees
Finite mixtures of tree-structured distributions have been shown to be efficient and effective in modeling multivariate distributions. Using Dirichlet processes, we extend this ap...
Sergey Kirshner, Padhraic Smyth