neuron-request@HPLABS.HP.COM ("Neuron-Digest Moderator Peter Marvit") (09/26/89)
Neuron Digest Monday, 25 Sep 1989 Volume 5 : Issue 39 Today's Topics: Visual Search & Complexity: BBS Call for Commentators Successor for Eugene Garfield Call for papers - APplying ANNS to Expert Systems Yet Another Neural Conference (YANC) Natural Language EURASIP workshop on neural networks - call for contributions 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: Visual Search & Complexity: BBS Call for Commentators From: harnad@phoenix.Princeton.EDU (S. R. Harnad) Date: Tue, 19 Sep 89 01:36:38 -0400 Below is the abstract of a forthcoming target article to appear in Behavioral and Brain Sciences (BBS), an international, interdisciplinary journal that provides Open Peer Commentary on important and controversial current research in the biobehavioral and cognitive sciences. Commentators must be current BBS Associates or nominated by a current BBS Associate. To be considered as a commentator on this article, to suggest other appropriate commentators, or for information about how to become a BBS Associate, please send email to: harnad@princeton.edu or write to: BBS, 20 Nassau Street, #240, Princeton NJ 08542 [tel: 609-921-7771] ____________________________________________________________________ Analyzing Vision at the Complexity Level John K. Tsotsos Department of Computer Science, University of Toronto and The Canadian Institute for Advanced Research The general problem of visual search can be shown to be computationally intractable in a formal complexity-theoretic sense, yet visual search is widely involved in everyday perception and biological systems manage to perform it remarkably well. Complexity level analysis may resolve this contradiction. Visual search can be reshaped into tractability through approximations and by optimizing the resources devoted to visual processing. Architectural constraints can be derived using the minimum cost principle to rule out a large class of potential solutions. The evidence speaks strongly against purely bottom-up approaches to vision. This analysis of visual search performance in terms of task-directed influences on visual information processing and complexity satisfaction allows a large body of neurophysiological and psychological evidence to be tied together. ------------------------------ Subject: Successor for Eugene Garfield From: harnad@clarity.Princeton.EDU (Stevan Harnad) Date: Tue, 19 Sep 89 09:44:15 -0400 Eugene Garfield, the Founder of the Institute for Scientific Information in Philadelphia (Current Contents, Science Citation Index) is retiring as Editor-In-Chief of Current Contents and looking to groom a successor. The choice is important not only to ISI but to the world scientific community, because of the important role CC and SCI play. He's asked for my advice on a successor, and I've decided to try polling the Net for nominations (a thoroughly modern way of doing it, and in keeping, I think, with Garfield's spirit of innovation). The successor must be literate across scientific disciplines and able to prepare (with a team of seven researchers working under him) one article-length editorial per week in CC analyzing some aspect of science or scientific communication. He must also direct all the different versions of CC (life sciences, physical sciences, etc.) and the interactions with the other divsisions of ISI (especially the citation indices). In my view this is a position for an energetic, productive and innovative person with a strong academic background either directly or indirectly related to scientific communication. Please forward nominations to me, not to the list as a whole. Stevan Harnad JVNET: harnad@confidence.princeton.edu harnad@princeton.edu srh@flash.bellcore.comharnad@elbereth.rutgers.edu CSNET:harnad%confidence.princeton.edu@relay.cs.net UUCP: harnad@princeton.uucp BITNET: harnad@pucc.bitnet harnad1@umass.bitnet Phone: (609)-921-7771 Department of Psychology, Princeton University, Princeton NJ 08544 ------------------------------ Subject: Call for papers - Applying ANNS to Expert Systems From: masud cader <GJTAMUSC%AUVM2.BITNET@CORNELLC.cit.cornell.edu> Date: Fri, 22 Sep 89 12:29:58 -0400 A Special Issue Expert Systems with Applications: An International Journal Editor-in-chief: Special Editor: Dr. Jay Liebowitz Dr. Larry R. Medsker Dept of Management Science Dept of Computer Science George Washington University and Information Systems Washington, DC 20052 The American University Washington, DC 20016 SPECIAL EDITION APPLYING ARTIFICIAL NEURAL NETWORKS TO EXPERT SYSTEMS OBJECTIVES Artificial neural network (ANN) research has advanced dramatically in the last few years and has attracted widespread interest. An important question is to what extent ANNs can be useful in expert system applications and what are the obstacles to effective synergism. In view of the potentially significant impact of ANN's, we plan to dedicate a special issue of the refereed journal "Expert Systems Applications: An International Journal" to this subject. TOPICS OF INTEREST Topics include, but are not limited to ) Potential of and obstacles to the use of ANNs in expert systems ) State of the art of ANN technology applicable to expert systems ) Likely future developments in ANNs that impact expert systems ) Learning techniques and knowledge acquisition with ANN's ) Rule extraction from ANN results ) Interfaces between ANNs and expert systems ) Examples of applications using ANNs in expert systems PAPER FORMAT IMPORTANT DATES The format of manuscripts is December 1, 1989 Papers due the same as the one described January 1, 1990 Acceptance in "Information for Contributors" on the back page. February 15, 1990 Final version due Send Papers to: Dr. Larry R. Medsker Chair and Associate Professor Department of Computer Science and Information Systems The American University Washington, DC 20016 USA Tel: (202) 885-3306 BITNET: MEDSKER@AUVM ------------------------------ Subject: Yet Another Neural Conference (YANC) From: Mahesan Niranjan <niranjan%digsys.engineering.cambridge.ac.uk@NSFnet-Relay.AC.UK> Date: Mon, 04 Sep 89 09:02:56 -0000 Here is the programme of the IEE Conference on ANNs. niranjan PS: IEE means Institute of Electrical Engineers (in UK) PPS: ANN means Artificial Neural Networks ============================================================================= IEE First International Conference on Artificial Neural Networks at IEE Savoy Place 16-18 October 1989 Registration: Conference Services IEE Savoy Place London WC2R 0BL tel: 01-240-1871 fax: 01-240-7735 +++++++++++++++++++++++++++++++++++++++++++++++++++++++ PROGRAMME: MONDAY 16 October Registration 8.30 Formal Opening 9.30 Keynote address: 'On the significance of internal representations in neural networks', Kohonen. Session 1 - Self Organising and Feedback Networks 'Hierarchical self-organisation: a review', Luttrell, RSRE 'A comparative study of the Kohonen and Multiedit neural net learning algorithms', Kittler & Lucas, Surrey U 'Self-organisation based on the second maximum entropy principle', Grabec, E K U, Yugoslavia 'A new learning rule for feedback neural networks', Tarassenko, Seifert, Tombs & Reynolds, Oxford U & Murray, Edinburgh U 'Linear interpolation with binary neurons', Jonker, Coolenet & van der Gon, Utrecht U CLOSE - LUNCH 12.30 Session 2 - Implementation I 14.00 'Silicon implementation of neural networks', Murray, Edinburgh U 'Digital optical technology for the neural plane', Collins & Crossland, STC & Vass, Edinburgh U 'Implementation of plasticity in MOS synapses', Card & Moore, Oxford U 'Integrated circuit emulation of ART1 Networks, Rao, Walker, Clark & Akers, Arizona SU 'A limited connectivity switched capacitor analogue neural processing circuit with digital storage of non-binary input weights', Bounds, RSRE TEA - Poster session 1 15.40 'A non-competitive model for unsupervised learning' Hrycej, PCS, W.Germany 'Evolution equations for neural networks with arbitrary spacial structure', Coolen, van der Gon & Ruijgrok, Utrecht U 'Hardware realisable models of neural processing', Taylor, Clarkson, KCL & Gorse UCL, London 'On the training and the convergence of brain-state-in-a-box neural networks' Vandenberghe & Vandewalle, Katholieke U Louven 'Learning in a single pass: a neural model for instantaneous principal component analysis and linear regression', Rosenblatt, Concept Technols, Lelu & Georgei, INIST/CNRS France 'Dynamic scheduling for feed-forward neural nets using transputers', Oglesby & Mason, UC Swansea 'Analogue-to-digital conversin of self organising networks - the JAM technique', Allinson, Johnson & Brown, York U 'Temporal effects in a simple neural network deived from an optical implementation', Wright & White, BAe 'Neural networks and systolic arrays', Broomhead, Jones, McWhirter & Shepherd, RSRE 'Infrared search and track signal processing: a potential application of artificial neural computing', Chenoweth, Louisville U 'Optimal visual tracking with artificial neural networks, Dobnikar, Likar & Podberegar, Ljubljana U 'Extension of the Hopfield neural network to a multilayer architecture for optical implementation', Selviah & Midwinter, UCL, London Session 3 - Vision 16.20 'A neural network approach to the computation of vision algorithms', Psarrou & Buxton, QMC London 'A neural network implementation for real-time scene analysis', Allen, Adams & Booth, Newcastle-upon-Tyne U 'Optical flow estimation using an artificial neural network', Zhongquan, Purdue U 'Neural networks and Hough transform for pattern recognition', Costa & Sandler, KCL, London CLOSE OF SESSION 17.40 Cocktail Party in IEE Refectory 18.00-19.15 TUESDAY 17 OCTOBER Session 4 - Speech 09.00 'Experimental comparison of a range of neural network and conventional techniques for a word recognition task', Bedworth, Bridle, Flyn & Ponting, RSRE, Fallside & Prager, Cambridge U, Fogelman & Bottu, EHEI, Paris 'Two level recognition of isolated words using neural nets', Howard & Huckvale, UCL, London 'Predictive analysis of speech using adaptive networks', Lowe, RSRE 'The application of artificial neural network techniques to low bit-range speech coding', Kaouri & McCanny, Belfast U 'The modified Kanerva model: results for real time word recognition', Prager, Clarke & Fallside Cambridge U COFFEE - Poster session 2 10.40 'Identifying and discriminating temporal events with connectionist language users', Allen Kaufman & Bahmidpaty, Illinois U 'Auditory processing in a post-cochlear stochastic neural network', Schwartz, Demongeot, Herve, Wu & Escudier, ICP, France 'Neural networks for speech pattern classification', Renals & Rohwer, Edinburgh U 'Weight limiting, weight quantisation and generalisation in multi-layer perceptrons', Woodland, BTRL 'Using a connectionist network to eliminate redundancy from a phonetic lattice in an analytical speech recognition system', Miclet & Caharel, CNET 'Speaker recognition with a neural classifier', Oglesby & Mason, UC Swansea 'Output functions for probabilistic logic nodes', Myers, ICST London 'Neural networks with restricted-range connections', Noest, Brain Research Inst, Netherlands 'A hybrid neural network for temporal pattern recognition', McCulloch & Bounds, RSRE 'A/D conversion and analog vector quantization using neural network models, Svensson & Chen, Linkoping U 'Stochastic searching networks', Bishop, Reading U Session 5 - Architectures 11.00 'Canonical neural nets based on logic nodes', Aleksander, ICST London 'Designing neural networks', Cybenko, Illinois U. 'A continuously adaptable artificial neural network', Sayers & Coghill, Auckland U 'An analysis of silicon models of visual processing', Taylor, KC London CLOSE SESSION - LUNCH 12.30 Session 6 - Signal and Data Processing 14.00 'Nonlinear decision feedback equalizers using neural network structures', Siu, Cowan & Gibson, Edinburgh U 'Equalisation using neural networks', Jha, Durrani & Soraghan, Strathclyde U 'Artificial neural net algorithms in classifying electromyographic signals', Pattichis, Middleton & Schizaz, MDRT of Cyprus, Schofield & Fawcett, Newcastle Gen Hospital 'Recognition of radar signals by neural network', Beastall, RNEC UK 'Applications of neural networks to nondestructive testing', Upda & Upda, Colorado U TEA - Poster session 3 15.40 'Bearing estimation using neural optimisation methods', Jha & Durrani, Strathclyde U 'An example of back propagation: diagnosis of dyspepsia', Ridella, Mella, Arrigo, Marconi, Scalia & Mansi, CNR Italy 'The application of pulse processing neural networks in communications and signal demodilation', Chesmore, Hull U 'Neural networks and GMDH regression: case studies and comparisons', Harrison, Mort, Hasnain & Linkens, Sheffield U 'The application of neural networks to tactical and sensor data fusion problems', Whittington & Spracklen, Aberdeen U 'A new learning paradigm for neural networks', Lucas & Damper, Southampton U 'Estimating hidden unit quantity of two-layer perceptrons performing binary mappings', Gutierrez, Gondin & Wang, Arizona SU 'Training networks with discontinuous activation functions', Findlay, Plessey Research 'Can a perceptron find Lyapunov functions?', Banks & Harrison, Sheffield U Session 7 - Multilayer perceptrons I 16.20 'Single-layer look-up perceptrons (SLLUPS)', Tattersall & Foster, UEA 'Probabilistic learning on a network and a Markov random field', Wright, BAe 'Building symmetries into feedforward networks', Shawe-Taylor, London U 'Stochastic computing and reinforcement neural networks', Mars, Durham U & Leaver, BAe CLOSE OF SESSION 17.40 WEDNESDAY 18 October Session 8 - Image Processing 9.00 'Optical character recognition using artificial networks: past and future', Alpaydin, SFIT Switzerland 'An associative neural architecture for invariant pattern classification', Austin, York U 'Self-organising Hopfield networks', Naillon & Theeten, LEPA France 'Comparison of neural networks and conventional techniques for feature location in facial images', Hutchinson & Welsh, BTRL 'Expectation-based feedback in a neural network whcih recognises hand-drawn characters and symbols', Banks & Elliman, Nottingham U COFFEE - Poster session 4 10.40 'Matching of attributed and non-attributed graphs by use of Boltzmann Machine algorithm', Kuner, Siemens W Germany 'Image processing with optimum neural networks', Bichsel, PSI Switzerland 'A comparative study of neural network structures for practical application in a pattern recognition task', Bisset, Fiho & Fairhurst, Kent U 'On the use of pre-defined regions to minimise the training and complexity of multy-layer neural networks', Houselander & Taylor, UCL London 'A novel training algorithm', Wang & Grondin, Arizona SU 'Diffusion learning for the multilayer perceptron', Hoptroff & Hall, KC London 'Automatic learning of efficient behaviour', Watkins, Philips UK 'Learning with interferene cells', Sequeira & Tome, IST - AV Portugal 'Test of neural netork as a substitute for a traditional small-scale expert system', Filippi & Walker, Rome U 'Image compression with competing multilayer perceptrons', Sirat & Viala, LEP, France Session 9 - Multilayer percepteons II 11.00 'The radial basis function network: adapting the transfer functions to suit the experiment and the problem of generalisation', Lowe, RSRE 'On the analysis of multi-dimensional linear predictive/autoregressive data by a class of single layer connectionist models', Fallside, Cambridge U 'Unlimited input accuracy in layered networks', Sirat & Zorer, LEP, France 'The properties and implementation of the non-linear vector space connectionist model', Lynch & Rayner, Cambridge U CLOSE OF SESSION - LUNCH 12.30 Session 10 - AI and Neural Networks 14.00 'Overcoming independence assumption in Bayesian neural networks', Kononenko, FEE, Yugoslavia 'A neural controller', Saerens & Soquet, IRIDIA, Belgium 'Linked assembly of neural netwoeks to solve the interconnection problem, Green & Noakes, Essex U 'Building expert systems on neural architecture', Fu, Wisconsin U 'COMPO - conceptual clustering with connectionist competitive learining', de Garis, Bruxelles LU CLOSE OF SESSION - TEA 15.40 Session 11 - Implementation II 16.10 'Ferroelectric connections for IC neural networks', Clark, Dey, & Grondin, Arizona SU 'An implementation of fully analogue sum-of-product neural models', Daniel, Waller & Bisset, Kent U 'The implementation of hardware neural net systems', Myers, BTRL 'A general purpose digital architecture for neural network simulation', Duranton & Mauduit, LEPA, France CLOSING REMARKS by Cowan 17.30 +++++++++++++++++++++++++++++++++++++++++++++++++++++++ ============================================================================= O.K. thanks for the attention...... ------------------------------ Subject: Natural Language From: Noel Sharkey <noel@CS.EXETER.AC.UK> Date: Thu, 14 Sep 89 13:56:06 -0000 CALL FOR PAPERS CONNECTION SCIENCE (Journal of Neural Computing, Artificial Intelligence and Cognitive Research) Special Issue CONNECTIONIST RESEARCH ON NATURAL LANGUAGE Editor: Noel E. Sharkey, University of Exeter Special Editorial Review Panel Robert Allen, Bell Communication Research Garrison W. Cottrell, University of California, San Diego Michael G. Dyer, University of California, Los Angeles Jeffrey L. Elman, University of California, San Diego George Lakoff, University of California, Berkeley Wendy W. Lehnert, University of Massachusetts at Amherst Jordan Pollack, Ohio State University Ronan Reilly, Beckmann Institute, Illinois Bart Selman, University of Toronto Paul Smolensky, University of Colorado, Boulder This special issue will accept submissions of full length connectionist papers and brief reports from any area of natural language research including: Connectionist applications to AI problems in natural language (e.g. paraphrase, summarisation, question answering). New formalisms or algorithms for natural language processing. Simulations of psychological data. Memory modules or inference mechanisms to support natural language processing. Representational methods for natural language. Techniques for ambiguity resolution. Parsing. Speech recognition, production, and processing. Connectionist approaches to linguistics (phonology, morphology etc.). Submissions of short reports or recent updates will also be accepted for the Brief Reports section in the journal. No paper should be currently submitted elsewhere. DEADLINES Deadline for submissions: December 15th 1989 Decision/reviews by: February 1990 Papers may be accepted to appear in regular issues if there is insufficient space in the special issue. For further information about the journal please contact Lyn Shackleton (Assistant Editor) Centre for Connection Science JANET: lyn@uk.ac.exeter.cs Dept. Computer ScienceeUniversity of Exeter UUCP: !ukc!expya!lyn Exeter EX4 4PT Devon BITNET: lyn@cs.exeter.ac.uk@UKACRL U.K. FAX: (0392) 264067 ------------------------------ Subject: EURASIP workshop on neural networks - call for contributions From: Luis Borges de Almeida <lba@alf.inesc.pt> Date: Fri, 15 Sep 89 08:54:47 +0000 EURASIP WORKSHOP ON NEURAL NETWORKS Sesimbra, Portugal February 15-17, 1990 ANNOUNCEMENT AND 2nd CALL FOR CONTRIBUTIONS The workshop will be held at the Hotel do Mar in Sesimbra, Portugal. It will take place in 1990, from February 15 morning to 17 noon, and will be sponsored by EURASIP, the European Association for Signal Processing. It will be open to participants from all countries. Short contributions from all fields related to the neural network area are welcome (see submission procedures below). A (non-exclusive) list of topics is given ahead. These contributions will be presented at the workshop in poster format, and are intended for presentation of ongoing work, projects (e.g. ESPRIT, BRAIN, DARPA,...), or for proposing interesting views (even controversial or provocative). Short contributions will not correspond to a paper in the proceedings, but publication in a special issue of one of EURASIP's journals is being considered. Care is being taken to ensure that the workshop will have a high level of quality. Full contributions have already been selected based on an evaluation by an international technical committee, and the proceedings volume containing these contributions will be published and handed to participants at the workshop. The number of participants will be limited to 50. A small number of non-contributing participants may be accepted, depending on the total number of contributions. The official language of the workshop will be English. Dr. Georges Cybenko, of the University of Illinois, will be an invited speaker. Contacts are on the way for invitation of another well known researcher. TOPICS: - - signal processing (speech, image,...) - - pattern recognition - - algorithms (training procedures, new structures, speedups,...) - - generalization - - implementation - - specific applications where NN have been proved better than other approaches - - industrial projects and realizations SUBMISSION PROCEDURES Submissions, both for long and for short contributions, will consist of (strictly) 2-page summaries, plus a cover page indicating title, author's name, affiliation, phone no., and e-mail address if possible. Three copies should be sent directly to the Technical Chairman, at the address given below. The calendar for short contributions is as follows: Deadline for submission Oct 1, 1989 Notification of acceptance Nov 15, 1989 THE LOCATION Sesimbra is a fishermens village, located in a nice region about 30 km south of Lisbon. Special transportation from/to Lisbon will be arranged. The workshop will end on a Saturday at lunch time; therefore, the participants will have the option of either flying back home in the afternoon, or staying for sightseeing for the remainder of the weekend in Sesimbra and/or Lisbon. An optional program for accompanying persons is being organized. For further information, send the coupon below to the general chairman, or contact directly. ORGANIZING COMMITTEE: GENERAL CHAIRMAN Luis B. Almeida INESC Apartado 10105 P-1017 LISBOA CODEX PORTUGAL Phone: +351-1-544607. Fax: +351-1-525843. E-mail: {any backbone, uunet}!mcvax!inesc!lba TECHNICAL CHAIRMAN Christian Wellekens Philips Research Laboratory Av. Van Becelaere 2 Box 8 B-1170 BRUSSELS BELGIUM Phone: +32-2-6742275 TECHNICAL COMMITTEE John Bridle Herve Bourlard Frank Fallside Francoise Fogelman-Soulie Jeanny Herault Larry Jackel Renato de Mori H. Muehlenbein REGISTRATION, FINANCE, LOCAL ARRANGEMENTS Joao Bilhim INESC Apartado 10105 P-1017 LISBOA CODEX PORTUGAL Phone: +351-1-545150. Fax: +351-1-525843. - --------------------------------------------------------------------- Please keep me informed about the EURASIP Workshop on Neural Networks Name: University/Company: Address: Phone: E-mail: [ ] I plan to attend the workshop (send to Luis B. Almeida, INESC, Apartado 10105, P-1017 LISBOA CODEX, PORTUGAL) ------------------------------ End of Neurons Digest *********************