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186
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CRV
2011
IEEE
305views Robotics» more  CRV 2011»
14 years 3 months ago
Motion Segmentation by Learning Homography Matrices from Motor Signals
—Motion information is an important cue for a robot to separate foreground moving objects from the static background world. Based on the observation that the motion of the backgr...
Changhai Xu, Jingen Liu, Benjamin Kuipers
195
Voted

Book
392views
17 years 1 months ago
Reinforcement Learning: An Introduction
"Reinforcement learning is learning what to do how to map situations to actions so as to maximize a numerical reward signal. The learner is not told which actions to take, as ...
Richard S. Sutton, Andrew G. Barto
ICML
2008
IEEE
16 years 4 months ago
Deep learning via semi-supervised embedding
We show how nonlinear embedding algorithms popular for use with shallow semisupervised learning techniques such as kernel methods can be applied to deep multilayer architectures, ...
Frédéric Ratle, Jason Weston, Ronan ...
ICALT
2008
IEEE
15 years 10 months ago
A Semantic Infrastructure to Support a Federation of Agricultural Learning Repositories
This paper discusses how Semantic Web technologies are being adopted, specialized, and put in practice in order to set up a technical infrastructure that will facilitate sharing a...
Nikos Manouselis, Alberto Abian, Jesús Soto...
ITS
2010
Springer
122views Multimedia» more  ITS 2010»
15 years 8 months ago
DynaLearn: Architecture and Approach for Investigating Conceptual System Knowledge Acquisition
DynaLearn is an Interactive Learning Environment that facilitates a constructive approach to developing a conceptual understanding of how systems work. The software can be put in d...
Bert Bredeweg, Jochem Liem, Floris Linnebank, Ren&...