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2nd and Final 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
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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
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, for instance, 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 [log in to unmask]
e-mail [log in to unmask]
Tel: +44 1482 46 5212
Fax: +44 1482 46 6666
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