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MTA
2006
173views more  MTA 2006»
15 years 6 months ago
Active learning in very large databases
Abstract. Query-by-example and query-by-keyword both suffer from the problem of "aliasing," meaning that example-images and keywords potentially have variable interpretat...
Navneet Panda, Kingshy Goh, Edward Y. Chang
AROBOTS
2002
91views more  AROBOTS 2002»
15 years 6 months ago
Fast, On-Line Learning of Globally Consistent Maps
To navigate in unknown environments, mobile robots require the ability to build their own maps. A major problem for robot map building is that odometry-based dead reckoning cannot ...
Tom Duckett, Stephen Marsland, Jonathan Shapiro
CORR
2010
Springer
127views Education» more  CORR 2010»
15 years 4 months ago
Learning Networks of Stochastic Differential Equations
We consider linear models for stochastic dynamics. To any such model can be associated a network (namely a directed graph) describing which degrees of freedom interact under the d...
José Bento, Morteza Ibrahimi, Andrea Montan...
PRICAI
2010
Springer
15 years 4 months ago
Towards Artificial Systems: What Can We Learn from Human Perception?
Research in learning algorithms and sensor hardware has led to rapid advances in artificial systems over the past decade. However, their performance continues to fall short of the ...
Heinrich H. Bülthoff, Lewis L. Chuang
ETS
2009
IEEE
98views Hardware» more  ETS 2009»
15 years 4 months ago
Increasing Robustness of SAT-based Delay Test Generation Using Efficient Dynamic Learning Techniques
Due to the increased speed in modern designs, testing for delay faults has become an important issue in the postproduction test of manufactured chips. A high fault coverage is nee...
Stephan Eggersglüß, Rolf Drechsler