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ML
1998
ACM
153views Machine Learning» more  ML 1998»
13 years 8 months ago
Bayesian Landmark Learning for Mobile Robot Localization
To operate successfully in indoor environments, mobile robots must be able to localize themselves. Most current localization algorithms lack flexibility, autonomy, and often optim...
Sebastian Thrun
PERCOM
2006
ACM
14 years 8 months ago
Adaptive Medical Feature Extraction for Resource Constrained Distributed Embedded Systems
Tiny embedded systems have not been an ideal outfit for high performance computing due to their constrained resources. Limitations in processing power, battery life, communication ...
Roozbeh Jafari, Hyduke Noshadi, Majid Sarrafzadeh,...
DC
2010
13 years 9 months ago
Towards worst-case churn resistant peer-to-peer systems
Abstract Until now, the analysis of fault tolerance of peerto-peer systems usually only covers random faults of some kind. Contrary to traditional algorithmic research, faults as w...
Fabian Kuhn, Stefan Schmid, Roger Wattenhofer
MOBIHOC
2003
ACM
14 years 8 months ago
Localization from mere connectivity
It is often useful to know the geographic positions of nodes in a communications network, but adding GPS receivers or other sophisticated sensors to every node can be expensive. W...
Yi Shang, Wheeler Ruml, Ying Zhang, Markus P. J. F...
AI
2002
Springer
13 years 8 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...