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Technical Committee on Cognitive Computing

Submitted by: Xuelong Li


Cognitive Computing breaks the traditional boundary between neuroscience and computer science, and paves the way for machines that will have reasoning abilities analogous to a human brain. It is
an interdisciplinary research and application field, and uses methods  from psychology, biology, signal processing, physics, information  theory, mathematics, and statistics. The development of Cognitive   Computing will cross fertilize these other research areas with which  it interacts. There are many open problems to be addressed and to be  defined. This technical committee tackles these problems in both academia and industry, and focuses on new foundations/technologies that are intrinsic to Cognitive  computing.


Hussain Amir , University of Stirling, UK;  Xianbin Cao , Beihang University, China;  Xiaochun Cheng , Middlesex University, London, UK;  Diane Cook , Washington State University, USA;  Xinbo Gao , Xidian University, China;  Jonathan Gratch , University of Southern California, USA;  Tom Heskes , Radboud University Nijmegen, The Netherlands;  Kaiqi Huang , Chinese Academy of Sciences, China;  Katsushi Ikeuchi , University of Tokyo, Japan;  Laurent Itti , University of Southern California, USA;  Stephen J. Maybank , Birkbeck College, University of London, UK;  Fionn Murtagh , Royal Holloway, University of London, UK;  Andrew Ortony , Northwestern University, USA;  Witold Pedrycz , University of Alberta, Canada;  Edwige Pissaloux , Universitte Paris 6, France;  Dan Roth , University of Illinois at Urbana-Champaign, USA;  Thomas Serre , Massachusetts Institute of Technology, USA;  Tieniu Tan , Chinese Academy of Sciences, China;  Dacheng Tao , Hong Kong Polytechnic University, Hong Kong;  Rolf P. Wurtz, Ruhr-Universitat Bochum, Germany;  Dong Xu , Nanyang Technological University, Singapore;
Pingkun Yan , Philips Research North America, USA;  Xin Yao , University of Birmingham, UK;  Yuan Yuan, Aston University, UK;  Liangpei Zhang , Wuhan University, China;  Mengchu Zhou, New Jersey Institute of Technology, USA

Date started:  December 2007.

Goals for the next five years:

We are planning a new conference and a new journal, both under the title of  Cognitive Computing

Up to three most important papers since the beginning the  committee:

Y. Huang, K. Huang, D. Tao, T. Tan, and X. Li, "Enhanced Biologically   Inspired Model for Object Recognition," IEEE Transactions on Systems,   Man, and Cybernetics, Part B (T-SMC-B), vol. 41, no. 6, pp. 1668 - 1680, 2011.

Y. Mu, D. Tao, X. Li, and F. Murtagh, "Biologically Inspired Tensor   Features," Cognitive Computation (Springer), vol. 1, no. 4, pp.   327-341, 2009.

K. Huang, D. Tao, Y. Yuan, X. Li, and T. Tan, "Biologically Inspired  Features for Scene Classification in Video Surveillance," IEEE  Transactions on Systems, Man, and Cybernetics, Part B (T-SMC-B), vol. 41, no. 1, pp.  307-313, 2010.
out the TC and its recent activities are available on our website.

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