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NIPS
2004
13 years 9 months ago
Contextual Models for Object Detection Using Boosted Random Fields
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which use boos...
Antonio Torralba, Kevin P. Murphy, William T. Free...
ICRA
1995
IEEE
151views Robotics» more  ICRA 1995»
13 years 11 months ago
Learning Impedance Control for Robotic Manipulators
—Learning control is a concept for controlling dynamic systems in an iterative manner. It arises from the recognition that robotic manipulators are usually used to perform repeti...
Chien-Chern Cheah, Danwei Wang
ICRA
2003
IEEE
124views Robotics» more  ICRA 2003»
14 years 25 days ago
Self-assembly in space via self-reconfigurable robots
― Self-assembly systems in space are arguably within the reach of today’s technology based on the research and development of self-reconfigurable robots on earth. This paper pr...
Wei-Min Shen, Peter M. Will, Berok Khoshnevis
ICML
2005
IEEE
14 years 8 months ago
Dynamic preferences in multi-criteria reinforcement learning
The current framework of reinforcement learning is based on maximizing the expected returns based on scalar rewards. But in many real world situations, tradeoffs must be made amon...
Sriraam Natarajan, Prasad Tadepalli
DAGM
2005
Springer
14 years 1 months ago
Rapid Online Learning of Objects in a Biologically Motivated Recognition Architecture
We present an approach for the supervised online learning of object representations based on a biologically motivated architecture of visual processing. We use the output of a rece...
Stephan Kirstein, Heiko Wersing, Edgar Körner