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» System modeling with mixed object and data models
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CSDA
2010
122views more  CSDA 2010»
15 years 6 months ago
Nonparametric density estimation for positive time series
The Gaussian kernel density estimator is known to have substantial problems for bounded random variables with high density at the boundaries. For i.i.d. data several solutions hav...
Taoufik Bouezmarni, Jeroen V. K. Rombouts
ECCV
2002
Springer
16 years 8 months ago
Audio-Video Sensor Fusion with Probabilistic Graphical Models
Abstract. We present a new approach to modeling and processing multimedia data. This approach is based on graphical models that combine audio and video variables. We demonstrate it...
Matthew J. Beal, Hagai Attias, Nebojsa Jojic
ICRA
2005
IEEE
145views Robotics» more  ICRA 2005»
16 years 8 days ago
Modeling the Static and the Dynamic Parts of the Environment to Improve Sensor-based Navigation
— This paper addresses the modeling of the static and dynamic parts of the scenario and how to use this information within a real sensor-based navigation system. The contribution...
Luis Montesano, Javier Minguez, Luis Montano
WSC
1997
15 years 8 months ago
Object-Oriented Simulation of Paratrooper-Vortex Interactions
The C-17 Airdrop Model provides the Air Force and Army test and evaluation community with the capability to (i) assess the risk of vortex encounters, and (ii) predict ground dispe...
T. Glenn Bailey, Jose C. Belano III, Philip S. Ber...
AUSAI
2009
Springer
16 years 1 months ago
Enhancing MML Clustering Using Context Data with Climate Applications
Abstract. In Minimum Message Length (MML) clustering (unsupervised classification, mixture modelling) the aim is to infer a set of classes that best explains the observed data ite...
Gerhard Visser, David L. Dowe, Petteri Uotila