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» Learning from examples in unstructured, outdoor environments
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RAS
2007
117views more  RAS 2007»
13 years 8 months ago
Learning spatial concepts from RatSLAM representations
RatSLAM is a biologically-inspired visual SLAM and navigation system that has been shown to be effective indoors and outdoors on real robots. The spatial representation at the cor...
Michael Milford, Ruth Schulz, David Prasser, Gordo...
CORR
2011
Springer
301views Education» more  CORR 2011»
13 years 7 days ago
Human Activity Detection from RGBD Images
Being able to detect and recognize human activities is important for making personal assistant robots useful in performing assistive tasks. The challenge is to develop a system th...
Jaeyong Sung, Colin Ponce, Bart Selman, Ashutosh S...
ENVSOFT
2010
100views more  ENVSOFT 2010»
13 years 8 months ago
Coupled urban wind flow and indoor natural ventilation modelling on a high-resolution grid: A case study for the Amsterdam ArenA
Wind flow in urban environments is an important factor governing the dispersion of heat and pollutants from streets, squares and buildings. This paper presents a coupled CFD model...
T. van Hooff, B. Blocken
AAAI
1996
13 years 9 months ago
A Connectionist Framework for Reasoning: Reasoning with Examples
We present a connectionist architecture that supports almost instantaneous deductive and abductive reasoning. The deduction algorithm responds in few steps for single rule queries...
Dan Roth
ITRE
2005
IEEE
14 years 2 months ago
Some studies and lessons learned from ad hoc learning
This work proposes concepts, designs, experiences and lessons learned from some studies of ad hoc learning supported by wireless and mobile technologies. The ad hoc learning activi...
Chih-Yung Chang, Yuh-Shyan Chen, Tai-Chien Kao, Ja...