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IDA
2003
Springer
15 years 10 months ago
A Semi-supervised Method for Learning the Structure of Robot Environment Interactions
For a mobile robot to act autonomously, it must be able to construct a model of its interaction with the environment. Oates et al. developed an unsupervised learning method that pr...
Axel Großmann, Matthias Wendt, Jeremy Wyatt
MSE
2002
IEEE
90views Hardware» more  MSE 2002»
15 years 9 months ago
Toward a Model-Based Approach to the Specification of Virtual Reality Environments
An approach to the specification of a Virtual Reality (VR) interactive environment is presented, which merges and generalizes two methods recently proposed in the literature: the ...
Daniela Fogli, Piero Mussio, Augusto Celentano, Fa...
ACMDIS
2000
ACM
15 years 9 months ago
Design of a Social Interaction Environment for Electronic Marketplaces
This paper presents the design of an interaction environment for fostering social interactions in electronic marketplaces. The environment incorporates a novel, spatially-organize...
Younghee Jung, Alison Lee
CVPR
2005
IEEE
16 years 7 months ago
Localization in Urban Environments: Monocular Vision Compared to a Differential GPS Sensor
In this paper we present a method for computing the localization of a mobile robot with reference to a learning video sequence. The robot is first guided on a path by a human, whi...
Eric Royer, Maxime Lhuillier, Michel Dhome, Thierr...
SIGSOFT
2005
ACM
16 years 5 months ago
Moose: an agile reengineering environment
Software systems are complex and difficult to analyze. Reengineering is a complex activity that usually involves combining different techniques and tools. Moose is an reengineerin...
Oscar Nierstrasz, Stéphane Ducasse, Tudor G...