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ICANN
2010
Springer
13 years 10 months ago
Variational Bayesian Image Super-Resolution with GPU Acceleration
With the term super-resolution we refer to the problem of reconstructing an image of higher resolution than that of unregistered and degraded observations. Typically, the reconstru...
Giannis K. Chantas
NN
2008
Springer
169views Neural Networks» more  NN 2008»
13 years 8 months ago
Modeling a flexible representation machinery of human concept learning
dely acknowledged that categorically organized abstract knowledge plays a significant role in high-order human cognition. Yet, there are many unknown issues about the nature of ho...
Toshihiko Matsuka, Yasuaki Sakamoto, Arieta Chouch...
NN
2006
Springer
121views Neural Networks» more  NN 2006»
13 years 8 months ago
Mirror neurons and imitation: A computationally guided review
Neurophysiology reveals the properties of individual mirror neurons in the macaque while brain imaging reveals the presence of `mirror systems' (not individual neurons) in th...
Erhan Oztop, Mitsuo Kawato, Michael A. Arbib
NN
1998
Springer
13 years 8 months ago
A tennis serve and upswing learning robot based on bi-directional theory
We experimented on task-level robot learning based on bi-directional theory. The via-point representation was used for ‘learning by watching’. In our previous work, we had a r...
Hiroyuki Miyamoto, Mitsuo Kawato
NN
2008
Springer
13 years 8 months ago
Multilayer in-place learning networks for modeling functional layers in the laminar cortex
Currently, there is a lack of general-purpose in-place learning networks that model feature layers in the cortex. By "general-purpose" we mean a general yet adaptive hig...
Juyang Weng, Tianyu Luwang, Hong Lu, Xiangyang Xue