neuron-request@HPLMS2.HPL.HP.COM ("Neuron-Digest Moderator Peter Marvit") (08/02/90)
Neuron Digest Wednesday, 1 Aug 1990 Volume 6 : Issue 46 Today's Topics: (Summary) Re: Character Recognition Bibliography? wanted--turbo pascal code for complex feature detection Neocognitron information wanted universe and intelligence postdoc position available SAB90 Announcement Call for Papers - ICGA-91 Send submissions, questions, address maintenance and requests for old issues to "neuron-request@hplabs.hp.com" or "{any backbone,uunet}!hplabs!neuron-request" Use "ftp" to get old issues from hplpm.hpl.hp.com (15.255.176.205). ------------------------------------------------------------ Subject: (Summary) Re: Character Recognition Bibliography? From: atul k chhabra <Atul.Chhabra@UC.EDU> Date: Sat, 21 Jul 90 14:06:31 -0400 [[ Editor's Note: This is te result of a query on another mailing list. It certainly seems appropriate for "publication." -PM ]] Here is a summary of what I received in response to my request for references on character recognition. I had asked for references in all aspects of character recognition -- preprocessing and segmentation, OCR, typewritten character recognition, handwritten character recognition, neural network based recognition, statistical and syntactic recognition, hardware implementations, and commercial character recognition systems. THANKS TO ALL WHO RESPONDED. IF ANYONE OUT THERE HAS MORE REFERENCES, PLEASE EMAIL ME. I WILL SUMMARIZE NEW RESPONSES AFTER ANOTHER TWO WEEKS. THANKS. Atul Chhabra Department of Electrical & Computer Engineering University of Cincinnati, ML 030 Cincinnati, OH 45221-0030 Phone: (513)556-6297 Email: achhabra@uceng.uc.edu - ---------------------------------------------------------- From: Sol <sol@iai.es> Sol Delgado Instituto de Automatica Industial La Poveda Arganda del Rey 28500 MADRID SPAIN sol@iai.es [ 1]_ Off-Line cursive script word recognition Radmilo M. Bozinovic, Sargur N. Srihari IEEE transactions on pattern analysis and machine intelligence. Vol. 11, January 1989. [ 2]_ Visual recognition of script characters. Neural networt architectures. Jodef Skrzypek, Jeff Hoffman. MPL (Machine Perception Lab). Nov 1989. [ 3]_ On recognition of printed characters of any font and size. Simon Kahan, Theo Pavlidis, Henry S. Baird. IEEE transactions on pattern analysis and machine intelligence Vol PAMI_9, No 2, March 1987. [ 4]_ Research on machine recognition of handprinted characters. Shunji Mori, Kazuhiko Yamamoto, Michio Yasuda. IEEE transactions on pattern analysis and machine intelligence. Vol PAMI_6, No 4. July 1984. [ 5]_ A pattern description and generation method of structural characters Hiroshi nagahashi, Mikio Nakatsuyama. IEEE transactions on pattern analysis and machine intelligence Vol PAMI_8, No 1, January 1986. [ 6]_ An on-line procedure for recognition of handprinted alphanumeric characters. W. W. Loy, I. D. Landau. IEEE transactions on pattern analysis and machine intelligence. Vol PAMI_4, No 4, July 1982. [ 7]_ A string correction algorithm for cursive script recognition. Radmilo Bozinovic, Sargur N. Srihari. IEEE transactions on pattern analysis and machine inteligence. Vol PAMI_4, No 6, November 1982. [ 8]_ Analisys and design of a decision tree based on entropy reduction and its application to large character set recognition Qing Ren Wang, Ching Y. Suen. IEEE transactions on pattern analysis and machine intelligence. Vol PAMI_6, No 4, July 1984. [ 9]_ A method for selecting constrained hand-printed character shapes for machine recognition Rajjan Shinghal, Ching Y. Suen IEEE transactions on pattern analysis and machine intelligence. Vol PAMI_4, No 1, January 1982 [10]_ Pixel classification based on gray level and local "busyness" Philip A. Dondes, Azriel Rosenfeld. IEEE transactions on pattern analysis and machine intelligence. Vol PAMI_4, No 1, January 1982. [11]_ Experiments in the contextual recognition of cursive script Roger W. Ehrich, Kenneth J. Koehler IEEE transactions on computers, vol c-24, No. 2, February 1975. [12]_ Character recognition by computer and applications. Ching Y. Suen. Handbook of pattern recognition and image procesing. ACADEMIC PRESS, INC. August 1988. [13]_ A robust algorithm for text string separation from mixed text/graphics images Lloyd Alan Fletcher, Rangachar Kasturi IEEE transactions on pattern analysis and machine intelligence. Vol 10, No 6, November 1988. [14]_ Segmentation of document images. Torfinn Taxt, Patrick J. Flynn, Anil K. Jain IEEE transactions on pattern analysis and machine intelligence. Vol 11, No 12, december 1989. [15]_ Experiments in text recognition with Binary n_Gram and Viterbi algorithms. Jonathan J. Hull, Sargur N. Srihari IEEE transactions on pattern analysis and machine intelligence Vol PAMI-4, No 5, september 1982. [16]- Designing a handwriting reader. D. J. Burr IEEE transactions on pattern analysis and machine intelligence Vol PAMI-5, No 5, september 1983. [17]_ Experiments on neural net recognition of spoken and written text David J. Burr IEEE transactions on acoustics, speech and signals processing vol 36, No 7, july 1988 [18]_ Experimets with a connectionist text reader D. J. Burr Bell communications research Morristow, N. J. 07960 [19]_ An Algorithm for finding a common structure shared by a family of strings Anne M. Landraud, Jean-Francois Avril, Philippe Chretienne. IEEE transactions on pattern analysis and machine intelligence Vol 11, No 8, august 1989 [20]_ Word_level recognition of cursive script Raouf F. H. Farag IEEE transactions on computers Vol C-28, No 2, february 1979 [21]_ Pattern Classification by neural network: an experimental system for icon recognition Eric Gullichsen, Ernest Chang Marzo, 1987 [22]_ Recognition of handwritten chinese characters by modified hough transform techniques. Fang-Hsuan Cheng, Wen-Hsing Hsu, Mei-Ying Chen IEEE transactions on pattern analysis and machine intelligence Vol 11, No 4, April 1989 [23]_ Inheret bias and noise in the Hough transform Christopher M. Brown IEEE transactions on pattern analysis and machine intelligence Vol PAMI-5, No 5, september 1983. [24]_ From pixels to features J. C. Simon North-Holland _ Feature selection and Language syntax in text recognition. J.J. Hull _ Feature extraction for locating address blocks on mail pieces. S.N. Srihari. [25]_ A model for variability effects in hand-printing, with implications for the design of on line character recognition systems. J.R. Ward and T. Kuklinski. IEEE transactions on systems, man and cybernetics. Vol 18, No 3, May/June 1988. [26]_ Selection of a neural network system for visual inspection. Paul J. Stomski, Jr and Adel S. Elmaghraby Engineering Mathematics And Computer Science University of Louisville, Kentucky 40292 [27]_ Self-organizing model for pattern learning and its application to robot eyesight. Hisashi Suzuki, Suguru Arimoto. Proceedings of the fourth conference on A.I. san Diego, March 1988. The computer society of the IEEE. ---------------------------------------------------------- From: J. Whiteley <WHITELEY-J@OSU-20.IRCC.OHIO-STATE.EDU> I only have five references I can offer, all are from the Proceedings of the 1989 International Joint Conference on Neural Networks held in Washington D.C. Yamada, K. Kami, H. Tsukumo, J. Temma, T. Handwritten Numeral Recognition by Multi-layered Neural Network with Improved Learning Algorithm Volume II, pp. 259-266 Morasso, P. Neural Models of Cursive Script Handwriting Volume II, pp.539-542 Guyon, I. Poujaud, I. Personnaz, L. Dreyfus, G. Comparing Different Neural Network Architectures for Classifying Handwritten Digits Volume II, pp.127-132 Weideman, W.E. A Comparison of a Nearest Neighbor Classifier and a Neural Network for Numeric Handprint Character Recognition Volume I, pp.117-120 Barnard, E. Casasent, D. Image Processing for Image Understanding with Neural Nets Volume I, pp.111-115 Hopefully you are being deluged with references. --Rob Whiteley Dept. of Chemical Engineering Ohio State University email: whiteley-j@osu-20.ircc.ohio-state.edu ------- ---------------------------------------------------------- From: avi@dgp.toronto.edu (Avi Naiman) %L Baird 86 %A H. S. Baird %T Feature Identification for Hybrid Structural/Statistical Pattern Classification %R Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition %D June 1986 %P 150-155 %L Casey and Jih 83 %A R. G. Casey %A C. R. Jih %T A Processor-Based OCR System %J IBM Journal of Research and Development %V 27 %N 4 %D July 1983 %P 386-399 %L Cash and Hatamian 87 %A G. L. Cash %A M. Hatamian %T Optical Character Recognition by the Method of Moments %J Computer Vision, Graphics and Image Processing %V 39 %N 3 %D September 1987 %P 291-310 %L Chanda et al. 84 %A B. Chanda %A B. B. Chaudhuri %A D. Dutta Majumder %T Some Algorithms for Image Enhancement Incorporating Human Visual Response %J Pattern Recognition %V 17 %D 1984 %P 423-428 %L Cox et al. 74 %A C. Cox %A B. Blesser %A M. Eden %T The Application of Type Font Analysis to Automatic Character Recognition %J Proceedings of the Second International Joint Conference on Pattern Recognition %D 1974 %P 226-232 %L Frutiger 67 %A Adrian Frutiger %T OCR-B: A Standardized Character for Optical Recognition %J Journal of Typographic Research %V 1 %N 2 %D April 1967 %P 137-146 %L Goclawska 88 %A Goclawska %T Method of Description of the Alphanumeric Printed Characters by Signatures for Automatic Text Readers %J AMSE Review %V 7 %N 2 %D 1988 %P 31-34 %L Gonzalez 87 %A Gonzalez %T Designing Balance into an OCR System %J Photonics Spectra %V 21 %N 9 %D September 1987 %P 113-116 %L GSA 84 %A General Services Administration %T Technology Assessment Report: Speech and Pattern Recognition; Optical Character Recognition; Digital Raster Scanning %I National Archives and Records Service %C Washington, District of Columbia %D October 1984 %L Hull et al. 84 %A J. J. Hull %A G. Krishnan %A P. W. Palumbo %A S. N. Srihari %T Optical Character Recognition Techniques in Mail Sorting: A Review of Algorithms %R 214 %I SUNY Buffalo Computer Science %D June 1984 %L IBM 86 %A IBM %T Character Recognition Apparatus %J IBM Technical Disclosure Bulletin %V 28 %N 9 %D February 1986 %P 3990-3993 %L Kahan et al. 87 %A A. Kahan %A Theo Pavlidis %A H. S. Baird %T On the Recognition of Printed Characters of any Font and Size %J IEEE Transactions on Pattern Analysis and Machine Intelligence %V PAMI-9 %N 2 %D March 1987 %P 274-288 %L Lam and Baird 86 %A S. W. Lam %A H. S. Baird %T Performance Testing of Mixed-Font, Variable-Size Character Recognizers %R AT&T Bell Laboratories Computing Science Technical Report No. 126 %C Murray Hill, New Jersey %D November 1986 %L Lashas et al. 85 %A A. Lashas %A R. Shurna %A A. Verikas %A A. Dosimas %T Optical Character Recognition Based on Analog Preprocessing and Automatic Feature Extraction %J Computer Vision, Graphics and Image Processing %V 32 %N 2 %D November 1985 %P 191-207 %L Mantas 86 %A J. Mantas %T An Overview of Character Recognition Methodologies %J Pattern Recognition %V 19 %N 6 %D 1986 %P 425-430 %L Murphy 74 %A Janet Murphy %T OCR: Optical Character Recognition %C Hatfield %I Hertis %D 1974 %L Nagy 82 %A G. Nagy %T Optical Character Recognition \(em Theory and Practice %B Handbook of Statistics %E P. R. Krishnaiah and L. N. Kanal %V 2 %I North-Holland %C Amsterdam %D 1982 %P 621-649 %L Pavlidis 86 %A Theo Pavlidis %T A Vectorizer and Feature Extractor for Document Recognition %J Computer Vision, Graphics and Image Processing %V 35 %N 1 %D July 1986 %P 111-127 %L Piegorsch et al. 84 %A W. Piegorsch %A H. Stark %A M. Farahani %T Application of Image Correlation for Optical Character Recognition in Printed Circuit Board Inspection %R Proceedings of SPIE \(em The International Society for Optical Engineering: Applications of Digital Image Processing VII %V 504 %D 1984 %P 367-378 %L Rutovitz 68 %A D. Rutovitz %T Data Structures for Operations on Digital Images %B Pictorial Pattern Recognition %E G. C. Cheng et al. %I Thompson Book Co. %C Washington, D. C. %D 1968 %P 105-133 %L Smith and Merali 85 %A J. W. T. Smith %A Z. Merali %T Optical Character Recognition: The Technology and its Application in Information Units and Libraries %R Library and Information Research Report 33 %I The British Library %D 1985 %L Suen 86 %A C. Y. Suen %T Character Recognition by Computer and Applications %B Handbook of Pattern Recognition and Image Processing %D 1986 %P 569-586 %L Wang 85 %A P. S. P. Wang %T A New Character Recognition Scheme with Lower Ambiguity and Higher Recognizability %J Pattern Recognition Letters %V 3 %D 1985 %P 431-436 %L White and Rohrer 83 %A J.M. White %A G.D. Rohrer %T Image Thresholding for Optical Character Recognition and Other Applications Requiring Character Image Extraction %J IBM Journal of Research and Development %V 27 %N 4 %D July 1983 %P 400-411 %L Winzer 75 %A Gerhard Winzer %T Character Recognition With a Coherent Optical Multichannel Correlator %J IEEE Transactions on Computers %V C-24 %N 4 %D April 1975 %P 419-423 ---------------------------------------------------------- From: nad@computer-lab.cambridge.ac.uk Hi, I've only got two references for you - but they have 42 and 69 references, respectively (some of the refs will be the same, but you get at least 69 references!). They are: "An overview of character recognition methodologies" J. Mantas Pattern Recognition, Volume 19, Number 6, 1986 pages 425-430 "Methodologies in pattern recognition and image analysis - a brief survey" J. Mantas Pattern Recognition, Volume 20, Number 1, 1987 pages 1-6 Neil Dodgson ============ ---------------------------------------------------------- From: YAEGER.L@AppleLink.Apple.COM I presume you know of "The 1989 Neuro-Computing Bibliography" edited by Casimir C. Klimasauskas, a Bradford Book, from MIT Press. It lists 11 references for character recognition in its index. - larryy@apple.com ---------------------------------------------------------- From: Tetsu Fujisaki <TETSU@IBM.COM> 1. Suen, C. Y., Berthod, M., and Mori, S., "Automatic Recognition of Handprinted Characters - The State of the Art", Proc. IEEE, 68, 4 (April 1980) 469-487 2. Tappert, C. C., Suen, C. Y., and Wakahara T, "The State-of-the-Art in on-line handwriting recognition", IEEE Proc. 9th Int'l Conf. on Pattern Recognition, Rome Italy, Nov. 1988. Also in IBM RC 14045. ---------------------------------------------------------- From: burrow@grad1.cis.upenn.edu (Tom Burrow) Apparently, the state of the art in connectionism, as a lot of people will tell you, I'm sure, is Y. Le Cun et al's work which can be found in NIPS 90. Other significant connectionist approaches are Fukushima's neocognitron and Denker et al's work which I *believe* is in NIPS 88. I am interested in handprinted character recognition. Type set character recognition is basically solved, and I believe you shouldn't have any trouble locating texts on this (although I've only looked at the text edited by Kovalevsky (sp?), which I believe is just entitled "Reading Machines". Bayesian classifiers, which you can read about in any statistical pattern recognition text (eg, Duda and Hart, Gonzalez, etc), are capable of performing recognition, since one can choose reliable features present in machine printed text (eg, moments, projections, etc), and the segmentation problem is fairly trivial). Perhaps the greatest problem in handprinted recognition is the segmentation problem. Unfortunately, most connectionist approaches fail miserably in this respect, relying on traditional methods for segmentation which become a bottleneck. I am inspecting connectionist methods which perform segmentation and recognition concurrently, and I recommend you do not inspect the problems independently. I am by no means expert in any area which I've commented on, but I hope this helps. Also, again, please send me your compiled responses. Thank you and good luck. Tom Burrow ------------------------------ Subject: wanted--turbo pascal code for complex feature detection From: Jonathan Schull <J_SCHULL@acc.haverford.edu> Date: Tue, 24 Jul 90 09:51:00 -0500 We are developing a visual-stimulus GENERATING system in Turbo Pascal, and it would be useful to have a visual-stimulus DETECTING routine to evaluate the output our system generates. We are currently writing a simple detector which evaluates an image based on its pixel-by-pixel concordance with a prototypic image. However, even better would be a more generic detector which could recognize a particular shape in a variety of orientations or screen locations. (An example would be something like the system described in the last Neuron Digest, "A Network for Extracting the Locations of Point Clusters Using Selective Attention", by Subutai Ahmad & Stephen Omohundro). Does anyone know where we might find some easily-imported Pascal code which we could use for this purpose? ------------------------------ Subject: Neocognitron information wanted From: PVR%AUTOCTRL.RUG.AC.BE@VMA.CC.CMU.EDU Date: Wed, 25 Jul 90 18:19:00 +0100 Dear neural netters, I have a research student who is implementing Prof. Fukushima's neocognitron. The network will be used for object recognition and will finally be implemented on a multiprocessor network. The student is facing a large number of problems, for which we are not always able to find a solution. We would therefore like to get in touch with other researchers who have tried to implement the neocognitron or who have thoroughly studied this particular type of network. Could you please send a message to: pvr@autoctrl.rug.ac.be or to pvr@bgerug51.bitnet If you have technical reports that could make our work easier, we would certainly appreciate to have a copy. In return, we will send you some articles about the implementation and application. Many thanks in advance, Patrick ***************************************************************************** * Patrick Van Renterghem, BITNET: pvr@bgerug51.bitnet * * R&D Assistant, EDU: pvr%bgerug51.bitnet@cunyvm.cuny.edu * * State University of Ghent UUCP: mcsun!bgerug51.bitnet!pvr * * Belgium JANET: PVR%earn.bgerug51@earn-relay * * * * Automatic Control Lab, | Tel: +32 91 22 57 55 ext. 313 * * State University of Ghent, | Fax: +32 91 22 85 91 * * Grotesteenweg Noord 2, | * * B-9710 Ghent-Zwijnaarde, Belgium | * *******You***Don't***Need***A***PhD***To***Write***Parallel***Programs******* ------------------------------ Subject: universe and intelligence From: arti6!chen@relay.EU.net (Chung-Chih Chen) Date: Thu, 26 Jul 90 10:59:35 +0100 There is a problem I have been thinking for several years: What is the relationship between the universe and the intelligence (or physics and biology)? If the universe (the physical laws) can evolve to provide an environment for the intelligent systems to survive, can we say that the universe is not intelligent (or just a blind watchmaker)? Why the biological systems are more intelligent than the physical systems? Are there some intelligences in physics? Can we build a universal model of intelligence where the intelligence evolves like the universe? Any comments are very welcome. Chung-Chih Chen Artificial Intelligence Laboratory (Building K, 4th Floor) Free University of Brussels Pleinlaan 2 1050 Brussels, BELGIUM (email: chen@arti.vub.ac.be) ------------------------------ Subject: postdoc position available From: Eric Mjolsness <mjolsness-eric@CS.YALE.EDU> Date: Mon, 30 Jul 90 15:15:52 -0400 YALE UNIVERSITY Postdoctoral Position in Neural Networks for Vision One position is open within a research group interested in developing neural network-based approaches to computer vision and image understanding problems. We are particularly interested in using model-based optimization strategies for locating and quantifying objects and other image structures, and automatically learning the characteristics of new ones; we are in the process of extending these ideas to scale-space and other continuation methods for optimization. The group includes three faculty members, three Ph.D. students and a full time programmer. Collaboration with researchers in biomedical and neurobiological image processing is also possible. The position is joint between the Departments of Computer Science and Diagnostic Radiology. In addition, the research group has strong ties with faculty members in the Electrical Engineering Department. Those who apply should have a Ph.D. in a neural network-related field such as computer science, electrical engineering, applied mathematics or physics, preferably with a strong background and coursework in image processing and computer vision. A strong programming ability is also preferred. The initial appointment will be for one year, renewable for a second year contingent upon the availability of funds and by mutual agreement. Salary will be based on background and experience, but is expected to be in the $28K - $32K range. Review of applications will begin immediately and will be accepted until the position is filled. Applicants should send a resume and the names and addresses of three references to: Professor Eric Mjolsness, Department Computer Science, Yale Unversity P.O. Box 2158 Yale Station 51 Prospect Street New Haven, Connecticut, 06520, and should also, if possible, contact him by electronic mail at mjolsness@cs.yale.edu OR write and email to: Professor Gene Gindi Department of Electrical Engineering Yale University P.O. Box 2157 Yale Station New Haven, Connecticut 06520 gindi@venus.ycc.yale.edu ------------------------------ Subject: SAB90 Announcement From: Stewart Wilson <wilson@Think.COM> Date: Mon, 23 Jul 90 16:09:00 -0400 ANNOUNCEMENT Simulation of Adaptive Behavior: From Animals to Animats An International Conference To be held in Paris, September 24-28, 1990 Sponsored by Ecole Normale Superieure US Air Force Office of Scientific Research Electricite de France IBM France Computers, Communications and Visions (C2V) Offilib and a Corporate Donor 1. Conference dates and site The conference will take place Monday through Friday, September 24-28, 1990 at the Ministere de la Recherche et de la Technologie, 1 rue Descartes, Paris, France. 2. Conference Committee Conference chair Dr. Jean-Arcady Meyer Dr. Stewart W. Wilson Ecole Normale Superieure The Rowland Institute for Science France USA Organizing Committee Groupe de BioInformatique Ecole Normale Superieure France Program Committee Lashon Booker, U.S. Naval Research Lab, USA Rodney Brooks, MIT Artificial Intelligence Lab, USA Patrick Colgan, Queen's University at Kingston, Canada Patrick Greussay, Universite Paris VIII, France David McFarland, Oxford Balliol College, UK Luc Steels, VUB AI Lab, Belgium Richard Sutton, GTE Laboratories, USA Frederick Toates, The Open University, UK David Waltz, Thinking Machines Corp. and Brandeis University, USA 3. Official language: English 4. Conference Objective The conference objective is to bring together researchers in ethology, ecology, cybernetics, artificial intelligence, robotics, and related fields so as to further our understanding of the behaviors and underlying mechanisms that allow animals and, potentially, robots to adapt and survive in uncertain environments. Said somewhat differently, the objective is to investigate how the robot can aid in comprehending the animal and, inversely, to seek inspiration from the animal in the construction of autonomous robots. The conference will provide opportunities for dialogue between specialists with different scientific perspectives--ethology and artificial intelligence notably--a dialogue that will be enhanced by the common technical language imposed by simulation models. As the first of its kind in the world, the conference will make it possible to establish not only the state of the art of "adaptive autonomous systems, natural and artificial", but a list of the most promising future research topics. The conference is expected to promote: 1. Identification of the organizational principles, functional laws, and minimal properties that make it possible for a real or artificial system to persist in an uncertain environment. 2. Better understanding of how and under what conditions such systems can themselves discover these principles through conditioning, learning, induction, or processes of self-organization. 3. Specification of the applicability of the theoretical knowledge thus acquired to the building of autonomous robots. 4. Improved theoretical and practical knowledge concerning adaptive systems in general, both natural and artificial. Finally, special emphasis will be given to the following topics, as viewed from the perspective of adaptive behavior: Individual and collective behaviors Autonomous robots Action selection and behavioral Hierarchical and parallel organizations sequences Self organization of behavioral Conditioning, learning and induction modules Neural correlates of behavior Problem solving and planning Perception and motor control Goal directed behavior Motivation and emotion Neural networks and classifier Behavioral ontogeny and evolution systems Cognitive maps and internal Emergent structures and behaviors world models 5. Conference Proceedings The proceedings will be published about two months after the end of the conference by The MIT Press/Bradford Books. 6. Conference Organization Among the papers received by the organizers and reviewed by the Program Committee members, approximately 50 have been accepted for publication in the proceedings. They will be presented as talks or posters. (To receive by e-mail a preliminary program please contact one of the conference chairmen). Since the conference intersects animal and "animat" research, lively interaction can be expected, including controversy. At least one panel discussion will be organized around the theme of what each viewpoint can contribute to the other. Because the conference is emphasizing simulation models, it is anticipated that many participants will have computer programs demonstrating their work. To make such demonstrations possible, the Organizers will provide workstations and video equipment. An evening session during the week will be devoted to demonstrations. Morning and afternoon coffee breaks will be provided. To further promote interaction among a diverse group of participants, the conference will provide lunch each day. 7. Additional Information Additional information can be obtained from the chairmen: Dr. Jean-Arcady Meyer Groupe de Bioinformatique URA686.Ecole Normale Superieure 46 rue d'Ulm 75230 Paris Cedex 05 France e-mail: meyer@frulm63.bitnet meyer@hermes.ens.fr Tel: (1) 43.29.12.25 FAX: (1) 43.29.81.72 Dr. Stewart W. Wilson The Rowland Institute for Science 100 Cambridge Parkway Cambridge, MA 02142 USA e-mail: wilson@think.com Tel: (617) 497-4650 FAX: (617) 497-4627 8. Travel and Lodging Participants will be responsible for their own travel and lodging arrangements. However, you may contact any of three hotel reservations services which have agreed to offer advantageous locations and rates to participants in SAB90. We advise making early reservations and mentioning "SAB90" in your request. These services are: - Hotel Pullman Saint-Jacques(****): rooms at 800-900 FF, fax (33 1 45 88 43 93) - Tradotel(*** and **): rooms at 440-520 FF, fax (33 1 47 27 05 87) - AJF: student rooms at 80-90 FF, fax (33 1 40 27 08 71) 9. Registration fees Attendance at SAB90 will be open to any person paying the registration fee which is set at $ 220 (or 1200 FF) for non-students and $ 110 (or 600 FF) for students. The registration fee covers five lunches, coffee-breaks, and a copy of the Proceedings. ****************************************************************************** *WARNING: The audience size is strictly limited to 150 persons. Registrations* *will be closed beyond this number. * ****************************************************************************** REGISTRATION FORM -------------------------------------------------------------------------- Last name: First name: Profession/Title: Organization: Address: State/Zip Code/Country: Telephone: Fax: E-mail: ------------------------------------------------------------------------- This form should be sent to: Dr. Jean-Arcady MEYER Groupe de BioInformatique URA686. Ecole Normale Superieure 46 rue d'Ulm 75230 PARIS Cedex 05 FRANCE with a check for the registration fee to the order of: J.A. MEYER 'SAB90' The check can be in US Dollars or French Francs. To receive the student rate, please attach evidence of student status from your University or Scientific Advisor. ============================================================================== ------------------------------ Subject: Call for Papers - ICGA-91 From: booker@AIC.NRL.Navy.Mil Date: Tue, 24 Jul 90 13:10:16 -0400 Call for Papers ICGA-91 The Fourth International Conference on Genetic Algorithms The Fourth International Conference on Genetic Algorithms (ICGA-91), will be held on July 13-16, 1991 at the University of California - San Diego in La Jolla, CA. This meeting brings together an international community from academia, government, and industry interested in algorithms suggested by the evolutionary process of natural selection. Topics of particular interest include: genetic algorithms and classifier systems, machine learning and optimization using these systems, and their relations to other learning paradigms (e.g., connectionist networks). Papers discussing how genetic algorithms and classifier systems are related to biological modeling issues (e.g., evolution of nervous systems, computational ethology, artificial life) are encouraged. Papers describing significant, unpublished research in this area are solicited. Authors must submit four (4) complete copies of their paper, postmarked by February 1, 1991, to the Program Co-Chair: Dr. Richard K. Belew Computer Science & Engr. Dept. (C-014) Univ. California - San Diego La Jolla, CA 92093 Electronic submissions (LaTeX source only) can be mailed to rik@cs.ucsd.edu. Papers should be no longer than 10 pages, single spaced, and printed using 12 pt. type. All papers will be subject to peer review. Evaluation criteria include the significance of results, originality, and the clarity and quality of the presentation. Important Dates: February 1, 1991: Submissions must be postmarked March 22, 1991: Notification to authors mailed May 6, 1991: Revised, final camera-ready paper due July 13-16, 1991: Conference dates ICGA-91 Conference Committee: Conference Co-Chairs: Kenneth A. De Jong, George Mason University J. David Schaffer, Philips Labs Vice Chair and Publicity: David E. Goldberg, Univ. of Illinois at Urbana-Champaign Program Co-Chairs: Richard K. Belew, Univ. of California at San Diego Lashon B. Booker, MITRE Financial Chair: Gil Syswerda, BBN Local Arrangements: Richard K. Belew, Univ. of California at San Diego ------------------------------ End of Neuron Digest [Volume 6 Issue 46] ****************************************