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» Learning Gaussian processes from multiple tasks
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130
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ICML
1999
IEEE
15 years 7 months ago
Learning Hierarchical Performance Knowledge by Observation
Developing automated agents that intelligently perform complex real world tasks is time consuming and expensive. The most expensive part of developing these intelligent task perfo...
Michael van Lent, John E. Laird
AUIC
2006
IEEE
15 years 9 months ago
Moving animation script creation from textual to visual representation
Animation scripts are an integral part of developing computer games: they describe which character animations to play and when to switch between animations. These scripts are ofte...
Erik Haugvaldstad, Tim Wright
131
Voted
ICRA
2008
IEEE
137views Robotics» more  ICRA 2008»
15 years 10 months ago
SVM-based discriminative accumulation scheme for place recognition
— Integrating information coming from different sensors is a fundamental capability for autonomous robots. For complex tasks like topological localization, it would be desirable ...
Andrzej Pronobis, Óscar Martínez Moz...
133
Voted
ICASSP
2010
IEEE
15 years 3 months ago
Image-quality prediction of synthetic aperture sonar imagery
This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
David P. Williams
129
Voted
TASLP
2008
124views more  TASLP 2008»
15 years 3 months ago
Semantic Annotation and Retrieval of Music and Sound Effects
We present a computer audition system that can both annotate novel audio tracks with semantically meaningful words and retrieve relevant tracks from a database of unlabeled audio c...
Douglas Turnbull, Luke Barrington, D. Torres, Gert...