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GECCO
2010
Springer
153views Optimization» more  GECCO 2010»
13 years 11 months ago
Multi-task evolutionary shaping without pre-specified representations
Shaping functions can be used in multi-task reinforcement learning (RL) to incorporate knowledge from previously experienced tasks to speed up learning on a new task. So far, rese...
Matthijs Snel, Shimon Whiteson
NPL
2000
138views more  NPL 2000»
13 years 7 months ago
Neural Net Based Hybrid Modeling of the Methanol Synthesis Process
A Hybrid modeling approach, combining an analytical model with a radial basis function neural network is introduced in this paper. The modeling procedure is combined with genetic a...
Primoz Potocnik, Igor Grabec, Marko Setinc, Janez ...
ICIP
2003
IEEE
14 years 9 months ago
Linear approximations for rate control in video coding
An efficient method for rate control is illustrated for joint source-channel rate selection and for encoding under multiple leaky bucket buffer constraints. This method shows adva...
Yegnaswamy Sermadevi, Sheila S. Hemami
SAMT
2009
Springer
176views Multimedia» more  SAMT 2009»
14 years 2 months ago
Shape-Based Autotagging of 3D Models for Retrieval
This paper describes an automatic annotation, or autotagging, algorithm that attaches textual tags to 3D models based on their shape and semantic classes. The proposed method emplo...
Ryutarou Ohbuchi, Shun Kawamura
ICRA
2009
IEEE
100views Robotics» more  ICRA 2009»
13 years 5 months ago
Multi-robot plan adaptation by constrained minimal distortion feature mapping
We propose a novel method for multi-robot plan adaptation which can be used for adapting existing spatial plans of robotic teams to new environments or imitating collaborative spat...
Bálint Takács, Yiannis Demiris