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
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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
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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
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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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