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» Uncertainty Based Selection of Learning Experiences
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ICCV
2003
IEEE
14 years 25 days ago
Information Theoretic Focal Length Selection for Real-Time Active 3-D Object Tracking
Active object tracking, for example, in surveillance tasks, becomes more and more important these days. Besides the tracking algorithms themselves methodologies have to be develop...
Joachim Denzler, Matthias Zobel, Heinrich Niemann
ICML
2007
IEEE
14 years 8 months ago
Spectral feature selection for supervised and unsupervised learning
Feature selection aims to reduce dimensionality for building comprehensible learning models with good generalization performance. Feature selection algorithms are largely studied ...
Zheng Zhao, Huan Liu
UM
2009
Springer
14 years 2 months ago
Non-intrusive Personalisation of the Museum Experience
Abstract. The vast amount of information presented in museums is often overwhelming to a visitor, making it difficult to select personally interesting exhibits. Advances in mobile...
Fabian Bohnert, Ingrid Zukerman
ICRA
2009
IEEE
138views Robotics» more  ICRA 2009»
14 years 2 months ago
Which landmark is useful? Learning selection policies for navigation in unknown environments
Abstract— In general, a mobile robot that operates in unknown environments has to maintain a map and has to determine its own location given the map. This introduces significant...
Hauke Strasdat, Cyrill Stachniss, Wolfram Burgard
AAAI
1994
13 years 8 months ago
Learning to Select Useful Landmarks
To navigate effectively, an autonomous agent must be able to quickly and accurately determine its current location. Given an initial estimate of its position (perhaps based on dea...
Russell Greiner, Ramana Isukapalli