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» Statistical Models of Object Interaction
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113
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IROS
2007
IEEE
95views Robotics» more  IROS 2007»
15 years 9 months ago
Modeling affordances using Bayesian networks
— Affordances represent the behavior of objects in terms of the robot’s motor and perceptual skills. This type of knowledge plays a crucial role in developmental robotic system...
Luis Montesano, Manuel Lopes, Alexandre Bernardino...
108
Voted
CCIA
2005
Springer
15 years 8 months ago
Modelling the Human Values Scale in Recommender Systems: A first approach
The objective of this paper is two-fold. The first is to develop a methodology capable of extracting the Human Values Scale (HVS) from the user, with reference to his/her objective...
Javier Guzmán, Gustavo González, Jos...
RT
2001
Springer
15 years 7 months ago
Interactive Sampling and Rendering for Complex and Procedural Geometry
We present a new sampling method for procedural and complex geometries, which allows interactive point-based modeling and rendering of such scenes. For a variety of scenes, object-...
Marc Stamminger, George Drettakis
115
Voted
DPHOTO
2009
131views Hardware» more  DPHOTO 2009»
15 years 13 days ago
Interaction of image noise, spatial resolution, and low contrast fine detail preservation in digital image processing
We present a method to improve the validity of noise and resolution measurements on digital cameras. If non-linear adaptive noise reduction is part of the signal processing in the...
Uwe Artmann, Dietmar Wueller
131
Voted
TROB
2008
207views more  TROB 2008»
15 years 2 months ago
Learning Object Affordances: From Sensory-Motor Coordination to Imitation
Affordances encode relationships between actions, objects and effects. They play an important role on basic cognitive capabilities such as prediction and planning. We address the p...
Luis Montesano, Manuel Lopes, Alexandre Bernardino...