17.843 new books

From: Humanist Discussion Group (by way of Willard McCarty willard.mccarty@kcl.ac.uk)
Date: Fri May 07 2004 - 16:52:26 EDT

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                   Humanist Discussion Group, Vol. 17, No. 843.
           Centre for Computing in the Humanities, King's College London
                       www.kcl.ac.uk/humanities/cch/humanist/
                            www.princeton.edu/humanist/
                         Submit to: humanist@princeton.edu

             Date: Wed, 05 May 2004 06:59:48 +0100
             From: Willard McCarty <willard.mccarty@kcl.ac.uk>
             Subject: new books

    (1)
    Volume 8 Number 6 of Soft Computing - A Fusion of Foundations,
    Methodologies and Applications is now available on the SpringerLink web
    site at http://springerlink.metapress.com.

    This issue contains:

    Recent advances in exploratory data analysis with neuro-fuzzy methods p. 381
    R. Kruse, A. Klose

    Neuro-fuzzy learning with symbolic and numeric data p. 383
    D. D. Nauck

    Fynesse: An architecture for integrating prior knowledge in autonomously
    learning agents p. 397
    R. Schoknecht, M. Spott, M. Riedmiller

    Stability of hierarchical fuzzy systems generated by Neuro-Fuzzy p. 409
    R. Saad, S. K. Halgamuge

    Extracting fuzzy classification rules from partially labeled data p. 417
    A. Klose

    Approximation of dynamic systems using recurrent neuro-fuzzy techniques p. 428
    A. N=FCrnberger

    Nonsmooth training of fuzzy neural networks p. 443
    C. Eitzinger

    (2)
    Volume 9 Number 6 of Multimedia Systems is now available on the
    SpringerLink web site

    This issue contains:

    Editorial
    Editors Note p. 491
    Klara Nahrstedt

    ARTiFACIAL: Automated Reverse Turing test using FACIAL features p. 493
    Yong Rui, Zicheng Liu

    Periodic broadcasting with VBR-encoded video p. 503
    Martin Reisslein, Despina Saparilla, Keith W. Ross

    Adaptive rate control for streaming flows over the Internet p. 517
    Luigi A. Grieco, Saverio Mascolo

    Editorial Note
    Special Issue on Multimedia Document Management Systems p. 533
    Ashfaq Khokhar, Arif Ghafoor

    Relevance feedback techniques in the MARS image retrieval system p. 535
    Michael Ortega-Binderberger, Sharad Mehrotra

    Robust content-based image indexing using contextual clues and automatic
    pseudofeedback p. 548
    Y. Alp Aslandogan, Clement T. Yu, Ravishankar Mysore, Bo Liu

    Multireference object pose retrieval with volume feedback p. 561
    Alireza Nasiri Avanaki, Babak Hamidzadeh, Faouzi Kossentini

    VDBMS: A testbed facility for research in video database benchmarking p. 575
    Walid Aref, Ann Christine Catlin, Ahmed Elmagarmid, Jianping Fan,
    Moustafa Hammad, Ihab Ilyas, Mirette Marzouk, Sunil Prabhakar, Yi-Cheng
    Tu, Xingquan Zhu

    Multimodal detection of highlights for multimedia content p. 586
    Serhan Dagtas, Mohamed Abdel-Mottaleb

    Erratum
    Personal orchestra: a real-time audio/video system for interactive
    conducting p. 594
    Jan Borchers, Eric Lee, Wolfgang Samminger, Max M=FChlh=E4user

    (3)
    Kluwer is pleased to announce the publication of the following new book:

    Recent Advances in Design and Decision Support Systems in Architecture and
    Urban Planning

    edited by

    Jos P. van Leeuwen
    Eindhoven University of Technology, Dept. of Architecture, Building &
    Planning, The Netherlands

    Harry J.P. Timmermans
    Eindhoven University of Technology, Dept. of Architecture, Building &
    Planning, The Netherlands

    The International conference on Design & Decision Support Systems in
    Architecture and Urban Planning is organised bi-annually by the Eindhoven
    University of Technology. This volume contains a selection of papers from
    the seventh conference that was held at De Ruwenberg Castle in
    Sint-Michiels Gestel, The Netherlands, from 2 to 5 July, 2004.
    Traditionally, the DDSS conferences aim to be a platform for both
    starting and experienced researchers who focus on the development and
    application of computer support in the areas of urban planning and
    architectural design. This results in an interesting mix of
    well-established research projects and first explorations. It also leads to
    a very valuable cross-over of theories, methods, and technologies for
    support systems in the two different areas, architecture and urban
    planning. This volume contains 22 peer reviewed papers from this year's
    conference that are organised into five sections:
         * Applications of Artificial Intelligence,
         * Visualisation fro Design and Decision Support,
         * Simulation and Agent Technology,
         * Design Research and Design Support Systems,
         * Geographical Information Systems.
    Together, these papers provide an excellent overview of the latest
    results in research and development of design and decision support systems
    in architecture and urban planning.

    Hardbound ISBN: 1-4020-2408-8 Date: June 2004 Pages: 375 pp.
    EUR 145.00 / USD 160.00 / GBP 101.00

    (4)
    Flexible Neuro-Fuzzy Systems
    Structures, Learning and Performance Evaluation

    by

    Leszek Rutkowski
    Dept. of Computer Engineering, Technical University of Czestochowa, Poland

    THE KLUWER INTERNATIONAL SERIES IN ENGINEERING AND COMPUTER SCIENCE -- 771

    Flexible Neuro-Fuzzy Systems is the first professional literature about
    the new class of powerful, flexible fuzzy systems. The author incorporates
    various flexibility parameters to the construction of neuro-fuzzy
    systems. This approach dramatically improves their performance, allowing
    the systems to perfectly represent the pattern encoded in data.
    Flexible Neuro-Fuzzy Systems is the only book that proposes a flexible
    approach to fuzzy modeling and fills the gap in existing literature. This
    book introduces new fuzzy systems which outperform previous approaches to
    system modeling and classification, and has the following features:
         * Provides a framework for unification, construction and development
    of neuro-fuzzy systems;
         * Presents complete algorithms in a systematic and structured
    fashion, facilitating understanding and implementation,
         * Covers not only advanced topics but also fundamentals of fuzzy sets,
         * Includes problems and exercises following each chapter,
         * Illustrates the results on a wide variety of simulations,
         * Provides tools for possible applications in business and economics,
    medicine and bioengineering, automatic control, robotics and civil engineering.
    Flexible Neuro-Fuzzy Systems is designed for a professional audience
    composed of researchers and practitioners in industry. This book is also
    suitable as a secondary text for graduate-level students in computer
    science and engineering.

    CONTENTS
         * Foreword.
         * 1. Introduction.
         * 2. Elements Of The Theory Of Fuzzy Sets.
         * 3. Fuzzy Inference Systems.
         * 4. Flexibility In Fuzzy Systems.
         * 5. Flexible Or-Type Neuro-Fuzzy Systems.
         * 6. Flexible Compromise And-Type Neuro-Fuzzy Systems.
         * 7. Flexible Mamdani-Type Neuro-Fuzzy Systems.
         * 8. Flexible Logical-Type Neuro-Fuzzy Systems.
         * 9. Performance Comparison Of Neuro-Fuzzy Systems.
         * Appendix.
         * Bibliography.
         * Index.

    Hardbound ISBN: 1-4020-8042-5 Date: May 2004 Pages: 296 pp.
    EUR 114.00 / USD 125.00 / GBP 79.00

    (5)
    Machine Learning and Statistical Modeling Approaches to Image Retrieval

    by

    Yixin Chen
    Dept. of Computer Science and The Research Institute for Children,
    University of New Orleans, LA, USA

    Jia Li
    The Pennsylvania State University, USA

    James Z. Wang
    School of Information Sciences and Technology, The Pennsylvania State
    University, USA

    THE KLUWER INTERNATIONAL SERIES ON INFORMATION RETRIEVAL -- 14

    In the early 1990s, the establishment of the Internet brought forth a
    revolutionary viewpoint of information storage, distribution, and
    processing: the World Wide Web is becoming an enormous and expanding
    distributed digital library. Along with the development of the Web, image
    indexing and retrieval have grown into research areas sharing a vision of
    intelligent agents. Far beyond Web searching, image indexing and
    retrieval can potentially be applied to many other areas, including
    biomedicine, space science, biometric identification, digital libraries,
    the military, education, commerce, culture and entertainment.
    Machine Learning and Statistical Modeling Approaches to ImageRetrieval
    describes several approaches of integrating machine learning and
    statistical modeling into an image retrieval and indexing system that
    demonstrates promising results. The topics of this book reflect authors'
    experiences of machine learning and statistical modeling based image
    indexing and retrieval. This book contains detailed references for
    further reading and research in this field as well.
    Machine Learning and Statistical Modeling Approaches to ImageRetrieval is
    designed for a professional audience composed of researchers and
    practitioners in industry. This book is also suitable as a secondary text
    for graduate-level students in computer science and electrical engineering.

    Hardbound ISBN: 1-4020-8034-4 Date: May 2004 Pages: 200 pp.
    EUR 83.00 / USD 91.00 / GBP 58.00

    (6)
    Speech and Human-Machine Dialog

    by

    Wolfgang Minker
    Dept. of Human-Machine Communication, LIMSI-CNRS, France

    Samir Bennacef
    Vecsys, Courtaboeuf, France

    THE KLUWER INTERNATIONAL SERIES IN ENGINEERING AND COMPUTER SCIENCE -- 770

    Speech and Human-Machine Dialog focuses on the dialog management
    component of a spoken language dialog system. Spoken language dialog
    systems provide a natural interface between humans and computers. These
    systems are of special interest for interactive applications, and they
    integrate several technologies including speech recognition, natural
    language understanding, dialog management and speech synthesis.
    Due to the conjunction of several factors throughout the past few years,
    humans are significantly changing their behavior vis-=C3 -vis machines.
    In particular, the use of speech technologies will become normal in the
    professional domain, and in everyday life. The performance of speech
    recognition components has also significantly improved. This book
    includes various examples that illustrate the different functionalities of
    the dialog model in a representative application for train travel
    information retrieval (train time tables, prices and ticket reservation).
    Speech and Human-Machine Dialog is designed for a professional audience,
    composed of researchers and practitioners in industry. This book is also
    suitable as a secondary text for graduate-level students in computer
    science and engineering.

    CONTENTS
         * Preface.
         * 1. Introduction. 1. Language. 2. Dialog And Computer. 3.
    Human-Machine Spoken Language Dialog. 4. Spoken Language Dialog System.
    5. Projects And Research Applications.
         * 2. Robust Spoken Language Understanding. 1. Introduction. 2. Case
    Grammar Formalism. 3. Case Grammar In The Limsi-L'atis System. 4. Conclusion.
         * 3. Spoken Language Dialog Modeling. 1. Introduction. 2. Task
    Modeling. 3. Human-Machine Spoken Language Dialog Modeling. 4. Dialog
    System Example. 5. Conclusion.
         * 4. Conclusion.
         * References. Index.

    Hardbound ISBN: 1-4020-8036-0 Date: May 2004 Pages: 104 pp.
    EUR 87.00 / USD 95.00 / GBP 61.00

    (7)
    Artificial Intelligence in Logic Design

    edited by

    Svetlana N. Yanushkevich
    University of Calgary, AB, Canada

    THE KLUWER INTERNATIONAL SERIES IN ENGINEERING AND COMPUTER SCIENCE -- 766

    Reprinted from ARTIFICIAL INTELLIGENCE REVIEW, 20:3-4

    There are three outstanding points of this book. First: for the first
    time, a collective point of view on the role of artificial intelligence
    paradigm in logic design is introduced. Second, the book reveals new
    horizons of logic design tools on the technologies of the near future.
    Finally, the contributors of the book are twenty recognizable leaders in
    the field from the seven research centres. The chapters of the book have
    been carefully reviewed by equally qualified experts. All contributors are
    experienced in practical electronic design and in teaching engineering
    courses. Thus, the book's style is accessible to graduate students,
    practical engineers and researchers.

    Hardbound ISBN: 1-4020-2052-X Date: May

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    Dr Willard McCarty | Senior Lecturer | Centre for Computing in the
    Humanities | King's College London | Strand | London WC2R 2LS || +44



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