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» Compositional Models for Reinforcement Learning
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NIPS
2001
13 years 9 months ago
Improvisation and Learning
This article presents a 2-phase computational learning model and application. As a demonstration, a system has been built, called CHIME for Computer Human Interacting Musical Enti...
Judy A. Franklin
CVPR
2007
IEEE
14 years 9 months ago
Hybrid learning of large jigsaws
A jigsaw is a recently proposed generative model that describes an image as a composition of non-overlapping patches of varying shape, extracted from a latent image. By learning t...
Julia A. Lasserre, Anitha Kannan, John M. Winn
HICSS
2000
IEEE
99views Biometrics» more  HICSS 2000»
14 years 2 days ago
Selecting a Model Interchange Format: The SPOOL Case Study
The aim of this paper is to provide tool developers with effective strategies to minimize the risks, costs, effort and time involved in handling model interchange issues. Specific...
Guy Saint-Denis, Reinhard Schauer, Rudolf K. Kelle...
ATAL
2006
Springer
13 years 11 months ago
Scalable and reliable data delivery in mobile ad hoc sensor networks
This paper studies scalable data delivery algorithms in mobile ad hoc sensor networks with node and link failures. Many algorithms have been developed for data delivery and fusion...
Bin Yu, Paul Scerri, Katia P. Sycara, Yang Xu, Mic...
RAS
2010
164views more  RAS 2010»
13 years 6 months ago
Bridging the gap between feature- and grid-based SLAM
One important design decision for the development of autonomously navigating mobile robots is the choice of the representation of the environment. This includes the question which...
Kai M. Wurm, Cyrill Stachniss, Giorgio Grisetti