Call for Papers

   International Journal of Pattern Recognition and Artificial
                      Intelligence (IJPRAI) 

    Special Issue on Invariants for Pattern Recognition and
                        Classification 

    Guest Editor: Marcos A. Rodrigues, BEng, MSc, PhD, MIEEE


 Submission of papers: 18 December 1998
 Publication: 1999

 Aims

 Pattern recognition and classification are fundamental concepts for
 understanding living systems and essential for realising artificial
 intelligent systems. In the past decade, there has been a strong
 interest in the theory and applications of invariants to both pattern
 recognition and classification. Invariants are properties that remain
 constant under a set of transformations. A considerable number of novel
 geometric techniques and mathematical models have been used to extract
 and predict the existence of invariants. The majority of such techniques
 have been applied to 2D and 3D Computer Vision, such as affine
 curvatures,quadratic surfaces, Grassmann-Cayley algebra, linear algebra
 and tensor theory, Clifford algebra, Fourier descriptor and moment i
 invariants, among many others. Applications of such techniques include
 shape recovery, 3D modelling, motion analysis, feature extraction,
 device positioning and calibration, feature recognition, etc. 

 The last decade has also seen a rapidly growing interest in research
 studying the theory and applications of classifier systems. Many
 techniques have been explored and proposed as solutions to
 classification problems to industrial and medical applications. Some of
 the techniques include Bayesian classifiers, linear classifiers,
 quadratic classifiers, k-nearest neighbour classifier, artificial neural
 networks, and genetic algorithms. Many approaches to the optimization of
 classifier architectures and parameters have been tested such as domain
 knowledge, experimental trial and error, evolutionary strategies,
 evolutionary programming, and hybrid approaches. 

 Scope

 The intention of this special issue is to publish papers representative
 of the state-of-art in the theory and practical applications of
 invariants and classifier systems. We thus, seek papers on all aspects
 of invariants and classifier systems from researchers in the following
 areas (but not limited to):
        Image processing 
        Computer vision 
        Geometric techniques 
        Genetic algorithms 
        Hybrid genetic algorithms 
        Statistical pattern analysis 
        Neural Networks 
        Other related areas

 IJPRAI

 The International Journal of Pattern Recognition and Artificial
 Intelligence (IJPRAI) publishes both applications and theory oriented
 articles on new developments in the fields of pattern recognition and
 artificial intelligence. For more details on the Journal you can follow
 this call for papers link at http://www2.dcs.hull.ac.uk/aise/ijprai.html

 Submission Guidelines 

 4 (four) hard copies of papers must be submitted to the Guest Editor
 (see address below). Papers should normally not exceed 5000 words,
 including a list of references. All contributions should be written in
 English, include an abstract, a list of keywords and the author's
 mailing address. All papers will be refereed according to standard
 IJPRAI refereeing procedures. Please see more details on submission
 guidelines at http://www2.dcs.hull.ac.uk/aise/ijprai.html

 Important Dates 

 Submission:    18 December 1998 
 Notification:     19 March 1999 
 Final version:      31 May 1999 
 Publication:               1999 

 Guest Editor's Address

 M.A. Rodrigues 
 Department of Computer Science, The University of Hull
 Hull HU6 7RX   United Kingdom
 e-mail M.A.Rodrigues@computer.org 
 e-mail M.A.Rodrigues@dcs.hull.ac.uk
 Tel: +44 1482 46 5212
 Fax: +44 1482 46 6666