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Call for papers
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                             1st Workshop on
                     Cognitive Information Processing

                    June 9-10, 2008, Santorini, Greece

                         http://cip2008.di.uoa.gr


Sponsored by the International Association for Pattern Recogntion (IAPR)
In co-operation with the IEEE Signal Processing Society and
                     the European Association for Signal Processing (EURASIP)

General Co-Chairs: Prof. Simon Haykin
                   Prof. Sergios Theodoridis

Program Co-Chairs: Prof. Tulay Adali
                   Prof. Eleftherios Kofidis


Plenary Speakers: Prof. Simon Haykin (McMaster University, Canada)
                  Prof. Timo Honkela (Helsinki Univeristy of Technology, Finland)
                  Prof. Jose Principe (University of Florida, U.S.A.)
                  Prof. Ali Sayed (University of California LA, U.S.A)
                  Prof. Bernhard Scholkopf (Max Planck Institute, Germany)
                  Prof. Naftali Tishby (The Hebrew University, Israel)

Important Dates:
                  Submission of full paper:   January 5, 2008
                  Notification of acceptance: March 5, 2008
                  Camera-ready paper:         March 31, 2008

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Overview
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Cognitive Information Processing (CIP) extends the current engineering 
paradigm to one with the ability to perceive, learn, reason, and 
interact robustly in open-ended changing environments. Real world 
problems and large digital environments (such as Internet) usually are 
too complex to be modelled within a limited set of predefined 
specifications. Thus, there will inevitably be a need for robust 
decisions and behaviour in novel situations based on the capability and 
knowledge of artificial cognitive systems. Further, there will be a need 
for automatic extraction and organization of meaning, purpose and 
intentions in interplay with the environment, beyond current systems, 
with built-in semantic representations and ontologies.

Research in CIP is widely interdisciplinary. The aim of this new series 
of workshops is to bring together researchers from the machine learning, 
pattern recognition, signal processing and communications communities in 
an effort to encourage cross-fertilization of ideas and tools.

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Topics of Interest
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Theory:
* Learning theory and modelling 
* Bayesian learning and models 
* Information theoretic learning 
* Graphical and kernel methods 
* Adaptive learning algorithms 
* Ensembles: committees, mixtures, boosting, etc. 
* Data representation and analysisPCA, ICA, CCA, etc. 
* Other topics for cognitive information processing

Applications:
* Cognitive radio 
* Cognitive component analysis--blind source separation, ICA, etc. 
* Cognitive dynamic systems 
* Distributed, cooperative, and adaptive processing 
* Other application areas