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FGCN
2008
IEEE
175views Communications» more  FGCN 2008»
14 years 1 months ago
Environment Recognition Based on Human Actions Using Probability Networks
To realize context aware applications for smart home environments, it is necessary to recognize function or usage of objects as well as categories of them. On conventional researc...
Hiroshi Miki, Atsuhiro Kojima, Koichi Kise
TOG
2012
222views Communications» more  TOG 2012»
11 years 9 months ago
Plastic trees: interactive self-adapting botanical tree models
We present a dynamic tree modeling and representation technique that allows complex tree models to interact with their environment. Our method uses changes in the light distributi...
Sören Pirk, Ondrej Stava, Julian Kratt, Miche...
WCE
2007
13 years 8 months ago
Human error of commission modeled with Theory of Games
— Industrial plants makes a carefully trace of the human intervention on the process. This intervention happens at different points in the history of the facility, since the desi...
Selva S. Rivera, Jorge E. Núñez Mc L...
WSC
2001
13 years 8 months ago
Modelling and improving human decision making with simulation
Modelling human interaction and decision-making within a simulation presents a particular challenge. This paper describes a methodology that is being developed known as `knowledge...
Stewart Robinson, Thanos Alifantis, Robert Hurrion...
BVAI
2005
Springer
14 years 28 days ago
A Neural Model of Human Object Recognition Development
The human capability of recognizing objects visually is here held to be a function emerging as result of interactions between epigenetic influences and basic neural plasticity mec...
Rosaria Grazia Domenella, Alessio Plebe