[Corpora-List] New Deadline: Call for papers: Special Issue Pattern Recognition

[Menno van Zaanen]

Apologies for Multiple Copies.

Please distribute...


***New Deadline: January 3, 2003***

CALL FOR PAPERS
Pattern Recognition
(The Journal of the Pattern Recognition Society)

Special Issue on Grammatical Inference Techniques & Applications

This Special Issue will be published in April, 2004 to commemorate and
honor the memory of Late Professor K. S. Fu. Grammatical Inference
(GI) is a collection of methodologies for learning grammars from
training data. The most traditional field of application of GI has
been syntactic pattern recognition.  In the recent past, however,
concerted efforts from diverse disciplines to find tractable inference
techniques have added new dimensions and opened up unchartered
territories.  Applications of GI in more nontraditional fields include
Gene Analysis, Sequence Prediction, Cryptography and Information
Retrieval.  Development of  algorithms for GI has evolved over the
years from dealing with only positive training samples to more
fundamental efforts that try to circumvent the lack of negative
samples.. This idea is pursued in stochastic grammars and languages
which attempt to overcome absence of negative samples by gathering
statistical information from available positive samples. Also within
the framework of information theory, probability estimation technique
for Hidden Markov Model known as Backward-Forward and for Context-Free
language, the Inside-Outside algorithm are focal point of
investigations in stochastic grammar field. Techniques that use
intelligent search to infer the rules of grammar are showing
considerable promise.  Recently, there has been a surge of activities
dealing with specialized neural network architecture and dedicated
learning algorithms to approach GI problems.  In more customary track,
research in learning  classes of transducers continue to arouse
interests in GI community. Close interaction/collaboration  between
different disciplines and availability of powerful computers are
fueling novel research efforts in GI.

The objective of the Special Issue is to present the current status of
this topic  through the works of researchers in different disciplines.
Original and tutorial  papers are solicited that address theoretical
and practical issues on this theme. Topics of interest include (but
are not limited to):

Theory:
Neural network framework and learning algorithms geared to GI
GI via heuristic and genetic search
Inference mechanisms for stochastic grammars/languages
Algebraic methods for identification of languages
Transduction learning

Applications:
Image processing and computer vision
Biosequence analysis and prediction
Speech and natural language processing
Data mining/information retrieval
Optical character recognition

Submission Procedure:
Only electronic (ftp) submission will be accepted. Instructions for
submission of papers can be found at the guest editor's web site
(
http://www-ee.ccny.cuny.edu/basu
). All submitted papers will be reviewed according to guidelines and
standards of Pattern Recognition.

Deadlines:
Manuscript Submission: January 3, 2003 **** NEW DEADLINE ***
Notification of Acceptance: April 16, 2003
Final Manuscript Due: June 16, 2003
Publication Date: April 2004

Guest Editor:
Mitra Basu , The City College of CUNY, New York, U.S.A.
basu at ccny.cuny.edu

+-------------------------------------+ And all dared to brave unknown terrors,
| Menno van Zaanen                    | to do mighty deeds, to boldly split
| mvzaanen at science.uva.nl             | infinitives that no man had split
| http://www.science.uva.nl/~mvzaanen | before.   -H'hikers Guide to the Galaxy