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ICONIP
1998
13 years 6 months ago
Computing Iterative Roots with Neural Networks
Many real processes are composed of a n-fold repetition of some simpler process. If the whole process can be modelled with a neural network, we present a method to derive a model ...
Lars Kindermann
ICONIP
2007
13 years 6 months ago
Policy Learning for Motor Skills
Policy learning which allows autonomous robots to adapt to novel situations has been a long standing vision of robotics, artificial intelligence, and cognitive sciences. However, ...
Jan Peters, Stefan Schaal
ICONIP
2007
13 years 6 months ago
Making a Robot Dance to Music Using Chaotic Itinerancy in a Network of FitzHugh-Nagumo Neurons
We propose a technique to make a robot execute free and solitary dance movements on music, in a manner which simulates the dynamic alternations between synchronisation and autonomy...
Jean-Julien Aucouturier, Yuta Ogai, Takashi Ikegam...
ICONIP
2007
13 years 6 months ago
Sparse Super Symmetric Tensor Factorization
In the paper we derive and discuss a wide class of algorithms for 3D Super-symmetric nonnegative Tensor Factorization (SNTF) or nonnegative symmetric PARAFAC, and as a special case...
Andrzej Cichocki, Marko Jankovic, Rafal Zdunek, Sh...
ICONIP
2007
13 years 6 months ago
Using Image Stimuli to Drive fMRI Analysis
We introduce a new unsupervised fMRI analysis method based on Kernel Canonical Correlation Analysis which differs from the class of supervised learning methods that are increasing...
David R. Hardoon, Janaina Mourão Miranda, M...