Connectionists: First CFP - Special Session on Clifford Algebraic Neural Networks

Tohru Nitta tohru-nitta at aist.go.jp
Fri Apr 22 01:54:33 EDT 2011


Dear colleagues,

We are pleased to announce that a Special Session on Clifford Algebraic 
Neural Networks will be organized at the 2011 International Conference 
on Neural Information Processing (ICONIP2011): 
http://202.120.38.2/ICONIP/index.html

The conference will be held in Shanghai, China on November 14-17, 2011.
The deadline for paper submission is June 1, 2011.

Special sessions organizers:
Tohru Nitta (AIST, Japan)
Yasuaki Kuroe (Kyoto Institute of Technology, Japan)


The complex-valued neural networks (CVNNs) have been widening the 
scope of applications not only in electronics and informatics, 
but also in social systems. The fields are, namely, optoelectronics, 
imaging, remote sensing, quantum neural devices and systems, 
intelligent transport systems, and so on. One of the most 
important characteristics of the CVNNs is the proper 
treatment of complex-amplitude information, e.g., the treatment 
of wave-related / rotation-related phenomena such as 
electromagnetism, lightwaves, quantum waves, oscillatory 
phenomena even including traffic signal control, and color 
image processing based on adaptive signal rotation in the 
RGB space. Recently there were several Special Sessions 
(SSs) on complex-valued neural networks in, for example, 
KES 2001-2003, ICONIP 2002, 2004, ICANN/ICONIP 2003 Istanbul, 
ICANN 2007 and IJCNN2006, 2008-2010 where we had large 
audience and enjoyed heated and encouraging 
discussions successfully. The series indicates the 
increasing importance of this new area.

Clifford algebraic neural network (CANN) is an extension of 
real, complex, and quaternionic-valued NNs to higher dimensions. 
Now we hold a SS on Clifford algebraic neural networks in 
the ICONIP2011 for a wider audience to develop further 
investigations both in theoretical and application fields. 
We will present the latest results and considerations, 
and discuss prospective possibilities of the CANNs, 
which naturally includes complex-valued neural networks. 
Papers that are, or might be, related to the CANNs are 
widely solicited. Topics include, but are not limited to:

* Complex-valued Neuron Dynamics
* Complex-valued Associative Memories
* Chaos in Complex Domain
* Spatiotemporal CANN Processing
* CANN-based  N-dimensional Information Transform
* CANN-based Periodic Information Processing
* Fourier Domain CANN Processing
* Phase-Sensitive Radar Signal Processing
* Coherent Optoelectronic Applications
* Speech, Sonic and Ultrasonic Applications
* Adaptive Quantum Devices
* Quantum Computation and Quantum Neural Networks
* CANNs in Color Image Processing
* CANNs in Traffic Control
* CANNs in Robotics


For more information you may contact session organizers

Tohru Nitta
tohru-nitta at aist.go.jp

Yasuaki Kuroe
kuroe at kit.ac.jp





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