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