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COLT
2006
Springer
14 years 1 months ago
Learning Rational Stochastic Languages
Given a finite set of words w1, . . . , wn independently drawn according to a fixed unknown distribution law P called a stochastic language, an usual goal in Grammatical Inference ...
François Denis, Yann Esposito, Amaury Habra...
IJCV
2008
151views more  IJCV 2008»
13 years 10 months ago
Describing Visual Scenes Using Transformed Objects and Parts
We develop hierarchical, probabilistic models for objects, the parts composing them, and the visual scenes surrounding them. Our approach couples topic models originally developed...
Erik B. Sudderth, Antonio Torralba, William T. Fre...
RAS
2007
153views more  RAS 2007»
13 years 9 months ago
Cognitive maps for mobile robots - an object based approach
Robots are rapidly evolving from factory work-horses to robot-companions. The future of robots, as our companions, is highly dependent on their abilities to understand, interpret ...
Shrihari Vasudevan, Stefan Gächter, Viet Nguy...
INFFUS
2010
143views more  INFFUS 2010»
13 years 8 months ago
A multi-agent systems approach to distributed bayesian information fusion
This paper introduces design principles for modular Bayesian fusion systems which can (i) cope with large quantities of heterogeneous information and (ii) can adapt to changing co...
Gregor Pavlin, Patrick de Oude, Marinus Maris, Jan...
GIS
2010
ACM
13 years 8 months ago
Kernelized map matching
Map matching is a fundamental operation in many applications such as traffic analysis and location-aware services, the killer apps for ubiquitous computing. In the past, several m...
Ahmed Jawad, Kristian Kersting