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TOSEM
2002
153views more  TOSEM 2002»
15 years 6 months ago
Automated abstraction of class diagrams
d Abstraction of Class Diagrams ALEXANDER EGYED Teknowledge Corporation Designers can easily become overwhelmed with details when dealing with large class diagrams. icle presents a...
Alexander Egyed
IVC
2007
97views more  IVC 2007»
15 years 6 months ago
Stochastic exploration and active learning for image retrieval
This paper deals with content-based image retrieval. When the user is looking for large categories, statistical classification techniques are efficient as soon as the training se...
Matthieu Cord, Philippe Henri Gosselin, Sylvie Phi...
PRL
2007
166views more  PRL 2007»
15 years 6 months ago
Boosted Landmarks of Contextual Descriptors and Forest-ECOC: A novel framework to detect and classify objects in cluttered scene
In this paper, we present a novel methodology to detect and recognize objects in cluttered scenes by proposing boosted contextual descriptors of landmarks in a framework of multi-...
Sergio Escalera, Oriol Pujol, Petia Radeva
IJON
2008
152views more  IJON 2008»
15 years 5 months ago
Topos: Spiking neural networks for temporal pattern recognition in complex real sounds
This article depicts the approach used to build the Topos application, a simulation of two-wheel robots able to discern real complex sounds. Topos is framed in the nouvelle concep...
Pablo González-Nalda, Blanca Cases
ICRA
2010
IEEE
133views Robotics» more  ICRA 2010»
15 years 5 months ago
Variable resolution decomposition for robotic navigation under a POMDP framework
— Partially Observable Markov Decision Processes (POMDPs) offer a powerful mathematical framework for making optimal action choices in noisy and/or uncertain environments, in par...
Robert Kaplow, Amin Atrash, Joelle Pineau