31 search results - page 3 / 7 » A Connectionist Architecture for Learning to Parse |
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
We present a method for detecting and parsing buildings from unorganized 3D point clouds into a compact, hierarchical representation that is useful for high-level tasks. The input...
CONTEXT
2001
Springer
13 years 9 months ago
2001
Springer
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
ICANN
2003
Springer
13 years 10 months ago
2003
Springer
Abstract. Solutions to the symbol grounding problem, in psychologically plausible cognitive models, have been based on hybrid connectionist/symbolic architectures, on robotic appro...
NIPS
1993
13 years 6 months ago
1993
Most connectionist research has focused on learning mappings from one space to another (eg. classification and regression). This paper introduces the more general task of learnin...
ENGL
2007
13 years 5 months ago
2007
— In this work, an hybrid, self-configurable, multilayered and evolutionary subsumption architecture for cognitive agents is developed. Each layer of the multilayered architectur...