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» Learning invariance through imitation
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NN
1998
Springer
117views Neural Networks» more  NN 1998»
13 years 6 months ago
Neural learning of embodied interaction dynamics
This paper presents our approach towards realizing a robot which can bootstrap itself towards higher complexity through embodied interaction dynamics with the environment includin...
Yasuo Kuniyoshi, Luc Berthouze
CVPR
2009
IEEE
15 years 1 months ago
Learning Invariant Features Through Topographic Filter Maps
Several recently-proposed architectures for highperformance object recognition are composed of two main stages: a feature extraction stage that extracts locallyinvariant feature...
Koray Kavukcuoglu, Marc'Aurelio Ranzato, Rob Fergu...
IJCAI
2001
13 years 7 months ago
Robot Weightlifting By Direct Policy Search
This paper describes a method for structuring a robot motor learning task. By designing a suitably parameterized policy, we show that a simple search algorithm, along with biologi...
Michael T. Rosenstein, Andrew G. Barto
AR
2007
204views more  AR 2007»
13 years 6 months ago
Action recognition and understanding through motor primitives
In robotics, recognition of human activity has been used extensively for robot task learning through imitation and demonstration. However, there has not been much work on modeling...
Isabel Serrano Vicente, Ville Kyrki, Danica Kragic...
AICOM
2000
105views more  AICOM 2000»
13 years 6 months ago
Emergence of Vowel Systems Through Self-Organisation
This paper describes a model of the emergence and the universal structural tendencies of vowel systems. Both are considered as the result of self-organisation in a population of l...
Bart de Boer