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EOR
2000
77views more  EOR 2000»
13 years 8 months ago
Training the random neural network using quasi-Newton methods
Training in the random neural network (RNN) is generally speci
Aristidis Likas, Andreas Stafylopatis
NN
1998
Springer
13 years 8 months ago
Multilayer neural networks and Bayes decision theory
There are many applications of multilayer neural networks to pattern classification problems in the engineering field. Recently, it has been shown that Bayes a posteriori probab...
Ken-ichi Funahashi
MVA
2007
191views Computer Vision» more  MVA 2007»
13 years 8 months ago
Face recognition using localized features based on non-negative sparse coding
Neural networks in the visual system may be performing sparse coding of learnt local features that are qualitatively
Bhavin J. Shastri, Martin D. Levine
NN
2010
Springer
103views Neural Networks» more  NN 2010»
13 years 3 months ago
The iCub humanoid robot: An open-systems platform for research in cognitive development
Giorgio Metta, Lorenzo Natale, Francesco Nori, Giu...
NCA
2011
IEEE
13 years 3 months ago
Privacy preserving Back-propagation neural network learning over arbitrarily partitioned data
—Neural Networks have been an active research area for decades. However, privacy bothers many when the training dataset for the neural networks is distributed between two parties...
Ankur Bansal, Tingting Chen, Sheng Zhong