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| September
2011 |
| Bestsellers |
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| Artificial Intelligence |
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Series on Intelligence Science - Vol.
1
 Advanced Artificial
Intelligence
by Zhongzhi Shi (Chinese Academy
of Sciences, China)
Artificial
intelligence is a branch of computer science and a discipline
in the study of machine intelligence, that is, developing
intelligent machines or intelligent systems imitating,
extending and augmenting human intelligence through artificial
means and techniques to realize intelligent behavior.
 Computational
Intelligence and Its Applications
Evolutionary
Computation, Fuzzy Logic, Neural Network and Support Vector
Machine Techniques
edited by H K Lam (King's College
London, UK), Steve S H Ling & Hung T Nguyen (University of
Technologies Sydney, Australia)
This book focuses
on computational intelligence techniques and their
applications - fast-growing and promising research topics that
have drawn a great deal of attention from researchers over the
years. It brings together many different aspects of the
current research on intelligence technologies such as neural
networks, support vector machines, fuzzy logic and
evolutionary computation, and covers a wide range of
applications from pattern recognition and system modeling, to
intelligent control problems and biomedical applications.
 Advanced Topics In
Biometrics
edited by Haizhou Li, Liyuan Li
(Institute for Infocomm Research, Singapore), & Kar-Ann
Toh (Yonsei University, Korea)
Biometrics is the
study of methods for uniquely recognizing humans based on one
or more intrinsic physical or behavioral traits. After decades
of research activities, biometrics, as a recognized scientific
discipline, has advanced considerably both in practical
technology and theoretical discovery to meet the increasing
need of biometric deployments. In this book, the editors
provide both a concise and accessible introduction to the
field as well as a detailed coverage on the unique research
problems with their solutions in a wide spectrum of biometrics
research ranging from voice, face, fingerprint, iris,
handwriting, human behavior to multimodal biometrics.
 An Introduction To
Genetic Algorithms For Scientists and Engineers
by David A Coley (University of Exeter)
This invaluable
book has been designed to be useful to most practising
scientists and engineers, whatever their field and however
rusty their mathematics and programming might be. The approach
taken is largely practical, with algorithms being presented in
full and working code (in BASIC, FORTRAN, PASCAL AND C)
included on a floppy disk to help the reader get up and
running as quickly as possible. The text could also be used as
part of an undergraduate course on search and optimisation.
Student exercises are included at the end of several of the
chapters, many of which are computer-based and designed to
encourage exploration of the method.
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| Computer Vision/ Pattern Recognition
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IISc Lecture Notes
Series
Introduction
To Pattern Recognition and Machine Learning
by
M Narasimha Murty (Indian Institute of Science, India) &
Der V Susheela Devi (Indian Institute of Science, India)
This book adopts
a detailed and methodological algorithmic approach to explain
the concepts of pattern recognition. While the text provides a
systematic account of its major topics such as pattern
representation and nearest neighbour based classifiers,
current topics - neural networks, support vector machines and
decision trees - attributed to the recent vast progress in
this field are also dealt with. Pattern Recognition: An
Algorithmic Approach will equip readers, especially senior
computer science undergraduates, with a deeper understanding
of the subject matter.
Series in Computer Vision - Vol.
1
 Emerging Topics In
Computer Vision and Its Applications
edited by
C H Chen (University of Massachusetts Dartmouth, USA)
This book gives a
comprehensive overview of the most advanced theories,
methodologies and applications in computer vision.
Particularly, it gives an extensive coverage of 3D and robotic
vision problems. Example chapters featured are Fourier methods
for 3D surface modeling and analysis, use of constraints for
calibration-free 3D Euclidean reconstruction, novel
photogeometric methods for capturing static and dynamic
objects, performance evaluation of robot localization methods
in outdoor terrains, integrating 3D vision with force/tactile
sensors, tracking via in-floor sensing, self-calibration of
camera networks, etc. Some unique applications of computer
vision in marine fishery, biomedical issues, driver
assistance, are also highlighted.
Series in Machine Perception and
Artificial Intelligence - Vol. 75
 Pattern Classification
Using Ensemble Methods
by Lior Rokach
(Ben-Gurion University of the Negev, Israel)
Researchers from
various disciplines such as pattern recognition, statistics,
and machine learning have explored the use of ensemble
methodology since the late seventies. Thus, they are faced
with a wide variety of methods, given the growing interest in
the field. This book aims to impose a degree of order upon
this diversity by presenting a coherent and unified repository
of ensemble methods, theories, trends, challenges and
applications.
The book
describes in detail the classical methods, as well as the
extensions and novel approaches developed recently. Along with
algorithmic descriptions of each method, it also explains the
circumstances in which this method is applicable and the
consequences and the trade-offs incurred by using the method.
 Handbook of Pattern
Recognition and Computer Vision
edited by C H
Chen (University of Massachusetts Dartmouth, USA)
Both pattern
recognition and computer vision have experienced rapid
progress in the last twenty-five years. This book provides the
latest advances on pattern recognition and computer vision
along with their many applications. It features articles
written by renowned leaders in the field while topics are
presented in readable form to a wide range of readers. The
book is divided into five parts: basic methods in pattern
recognition, basic methods in computer vision and image
processing, recognition applications, life science and human
identification, and systems and technology.
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| New and Forthcoming Titles |
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Robotics
Series in Machine Perception and
Artificial Intelligence - Vol. 54
 Fundamentals of
Robotics
Linking Perception to Action
by
Ming Xie (Singapore-MIT Alliance & Nanyang Technological
University, Singapore)
Tomorrow's
robots, which includes the humanoid robot, can perform task
like tutoring children, working as tour guides, driving humans
to and from work, do the family shopping etc. Tomorrow's
robots will enhance lives in ways we never dreamed possible.
No time to attend the decisive meeting on Asian strategy? Let
your robot go for you and make the decisions. Not feeling well
enough to go to the clinic? Let Dr Robot come to you, make a
diagnosis, and get you the necessary medicine for treatment.
No time to coach the soccer team this week? Let the robot do
it for you.
 Robotics: State of The
Art and Future Challenges
by George Bekey
(University of Southern California, USA), Robert Ambrose,
Vijay Kumar (University of Pennsylvania, USA), David Lavery
(NASA Headquarters, USA), Arthur Sanderson (Rensselaer
Polytechnic Institute, USA), Brian Wilcox (NASA Jet Propulsion
Laboratory, USA), Junku Yuh (Korea Aerospace University,
Korea), & Yuan Zheng (Ohio State University, USA)
This book
presents the results of an assessment of the state of robotics
in Japan, South Korea, Western Europe and Australia and a
comparison of robotics R&D programs in these countries
with those in the United States. The comparisons include areas
like robotic vehicles, space robotics, service robots,
humanoid robots, networked robots, and robots for biological
and medical applications, and based on criteria such as
quality, scope, funding and commercialization. This important
study identifies a number of areas where the traditional lead
of the United States is being overtaken by developments in
other countries.
 Cluster Computing For
Robotics and Computer Vision
by Damian M Lyons
(Fordham University, USA)
The objective of
the book is to give professionals working in the beowulf
cluster or robotics and computer vision fields a concrete view
of the strong synergy between the areas as well as to spur
further fruitful exploitation of this connection. The book is
written at a level appropriate for an advanced undergraduate
or graduate student. The key concepts in robotics, computer
vision and cluster computing are introduced before being used
to make the text useful to a wide audience in these fields.
 Adaptive Control of
Robot Manipulators
A Unified Regressor-Free
Approach
by An-Chyau Huang & Ming-Chih Chien
(National Taiwan University of Science and Technology, Taiwan)
This book
introduces an unified function approximation approach to the
control of uncertain robot manipulators containing general
uncertainties. It works for free space tracking control as
well as compliant motion control. It is applicable to the
rigid robot and the flexible joint robot. Even with actuator
dynamics, the unified approach is still feasible. All these
features make the book stand out from other existing
publications.
Software
Engineering
Advances in Computer Science and
Engineering: Texts - Vol. 3
 Fundamental Concepts In
Computer Science
edited by Erol Gelenbe
(Imperial College London, UK) & Jean-Pierre Kahane
(Université de Paris Sud – Orsay, France)
This book
presents fundamental contributions to computer science as
written and recounted by those who made the contributions
themselves. As such, it is a highly original approach to a
"living history" of the field of computer science. The scope
of the book is broad in that it covers all aspects of computer
science, going from the theory of computation, the theory of
programming, and the theory of computer system performance,
all the way to computer hardware and to major numerical
applications of computers.
 Matlab
Data
Analysis and Visualization
by Antonio Siciliano
(University of Bari, Italy)
MATLAB is
currently the language of technical computing most known and
used in academia, industry and services. It is composed of a
set of tools and a very large number of functions, graphics
objects with associated properties and operators.
 Introduction To
Windows® and Graphics Programming With Visual
C++®.NET
by Roger Mayne (University
at Buffalo, State University of New York, USA)
This book
provides an accessible approach to the study of Windows
programming with Visual C++. It is intended to be an
introduction to Visual C++ for technical people including
practicing engineers, engineering students, and others who
would like to understand Windows programming and use its
inherent graphic capabilities. While the book is aimed at a
technical audience, the mathematical content is modest and it
should be readable by most people interested in C++
programming. It introduces readers to Windows programming in a
natural way, making use of the object-oriented environment,
the Microsoft Foundation Classes (MFC), and the document/view
organization.
Property-Preserving
Petri Net Process Algebra In Software Engineering
by Hejiao Huang (Harbin Institute of Technology
Shenzhen Graduate School, China) & Li Jiao (Chinese
Academy of Sciences, China)
In a
component-based approach for system design, one of the
difficult problems is how to prove the correctness of the
created components. Usually, the constituent components are
supposed to be correct, i.e., possessing the desirable
properties and being free from undesirable ones. However, the
operators may destroy these properties or create new ones,
resulting in an undesirable new component. Hence, every
created component has to go through a new process of
verification. This indeed involves a tremendous amount of
effort!
Neural Networks/Networking
 Ad Hoc and Sensor
Networks
Theory and Applications (2nd Edition)
by Carlos de Morais Cordeiro (Intel Corporation, USA)
& Dharma Prakash Agrawal (University of Cincinnati, USA)
 Least Squares Support
Vector Machines
by Johan A K Suykens, Tony Van
Gestel, Jos De Brabanter, Bart De Moor & Joos Vandewalle
(K U Leuven, Belgium)
This book focuses
on Least Squares Support Vector Machines (LS-SVMs) which are
reformulations to standard SVMs. LS-SVMs are closely related
to regularization networks and Gaussian processes but
additionally emphasize and exploit primal-dual interpretations
from optimization theory. The authors explain the natural
links between LS-SVM classifiers and kernel Fisher
discriminant analysis. Bayesian inference of LS-SVM models is
discussed, together with methods for imposing sparseness and
employing robust statistics.
Advances in Computer Science and
Engineering: Texts - Vol. 4
 Analysis and Synthesis
of Computer Systems (2nd Edition)
by Erol
Gelenbe (Imperial College, UK) & Isi Mitrani (University
of Newcastle upon Tyne, UK)
Theoretical Computer
Science
 New Trends In
Qualitative and Quantitative Methods In Libraries
Selected Papers Presented at the 2nd Qualitative and
Quantitative Methods in Libraries
Proceedings of the
International Conference on QQML2010
edited by
Anthi Katsirikou (University of Piraeus Library, Greece) &
Christos Skiadas (Technical University of Crete, Greece)
This unique
volume presents the latest scientific achievements of library
researchers and professionals on the Qualitative and
Quantitative Methods of Libraries. Scholars and professionals
have now an information resource on methodological tools for
library services. Except for the new technologies that
facilitate the innovation of libraries, it is the underlying
policy and functional changes that have the most lasting
effect on the scholarly operation that explains why this
volume is important in the field or market.
 Handbook of Graph
Grammars and Computing By Graph Transformation
Volume 3: Concurrency, Parallelism, and Distribution
edited by H Ehrig (Technical University of Berlin,
Germany), H-J Kreowski (University of Bremen, Germany), U
Montanari (University of Pisa, Italy), & G Rozenberg
(Leiden University, The Netherlands)
Graph grammars
originated in the late 60s, motivated by considerations about
pattern recognition and compiler construction. Since then, the
list of areas which have interacted with the development of
graph grammars has grown quite impressively. Besides the
aforementioned areas, it includes software specification and
development, VLSI layout schemes, database design, modeling of
concurrent systems, massively parallel computer architectures,
logic programming, computer animation, developmental biology,
music composition, visual languages, and many others.
 Lecture Notes In Data
Mining
edited by Michael W Berry & Murray
Browne (University of Tennessee, USA)
This book is a
series of seventeen edited "student-authored lectures" which
explore in depth the core of data mining (classification,
clustering and association rules) by offering overviews that
include both analysis and insight.
World Scientific Series in Information
Studies - Vol. 3
Emergent
Information
An Outline Unified Theory of
Information Framework
by Wolfgang Hofkirchner (Vienna
University of Technology, Austria)
At the dawn of
the information age, a proper understanding of information and
how it relates to matter and energy is of utmost importance
for the survival of civilisation. Yet, attempts to reconcile
information concepts underlying science and technology with
those en vogue in social science, humanities, and arts are
rather rare. This book offers a new approach, departing from
fragmented information concepts.
Many academics
refrain from undergoing unifications, as most undertakings are
reductionistic. This book contends that it is the noble task
of an as-yet-to-be-developed science of information to go one
step in the direction of a unified theory of information
without falling back into neither reduction nor
anthropomorphisation.
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| Digital Security |
|
Building
Secure and High-Performance Software Systems
by
Issa Traore (University of Victoria, Canada) & Ahmed Awad
E Ahmed (University of Victoria, Canada)
Designing
reliable, complex and dependable software systems is a
continuous challenge to the software engineering community.
The contribution of this book is two fold: bring to light a
large body of knowledge on this issue and proposing basic
techniques to build secure high-performance software systems.
The first part focuses on performance requirements analysis
for distributed software systems. Techniques for analyzing and
testing software performance requirements are introduced.
 Handbook of Security And
Networks
edited by Yang Xiao (The University of
Alabama, USA), Frank H Li (The University of South Carolina
Upstate, USA), & Hui Chen (Virginia State University, USA)
This valuable
handbook is a comprehensive compilation of state-of-art
advances on security in computer networks. More than 40
internationally recognized authorities in the field of
security and networks contribute articles in their areas of
expertise. These international researchers and practitioners
are from highly-respected universities, renowned research
institutions and IT companies from all over the world. Each
self-contained chapter covers one essential research topic on
security in computer networks. Through the efforts of all the
authors, all chapters are written in a uniformed style; each
containing a comprehensive overview, the latest pioneering
work and future research direction of a research topic.
 Trust and Security In
Collaborative Computing
by Xukai Zou (Indiana
University-Purdue University Indianapolis, USA), Yuan-Shun Dai
(University of Tennessee, USA), & Yi Pan (Georgia State
University, USA)
Computer networks
are compromised by various unpredictable factors, such as
hackers, viruses, spam, faults, and system failures, hindering
the full utilization of computer systems for collaborative
computing - one of the objectives for the next generation of
the Internet. It includes the functions of data communication,
resource sharing, group cooperation, and task allocation. One
popular example of collaborative computing is grid computing.
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| Theoretical Computer Science |
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| Journal Highlight |
|
World Scientific
congratulates the managing editors of the International Journal of Neural Systems
(IJNS) and the International Journal of Information Technology and
Decision Making (IJITDM) and their editorial
board members for the latest Impact Factor achievements of
4.237 and 3.139 respectively.
 As part of our
celebrations, we will be granting a two-month (August and
September) Free Access to
all of the 2008 and 2009 issues of the journals.
Visit: http://www.worldscinet.com/ijns/
and http://www.worldscinet.com/ijitdm/
for more details.
|
Titles By Now Publishers
Published
by Now Publishers and marketed by World
Scientific |
|
Foundations
and Trends® in Information Retrieval
Volume 5 Issue
2-3
Automatic
Summarization
by Ani Nenkova (University of
Pennsylvania) and Kathleen McKeown (Columbia University)
It has now been
50 years since the publication of Luhn's seminal paper on
automatic summarization. During these years the practical need
for automatic summarization has become increasingly urgent and
numerous papers have been published on the topic. As a result,
it has become harder to find a single reference that gives an
overview of past efforts or a complete view of summarization
tasks and necessary system components. This article attempts
to fill this void by providing a comprehensive overview of
research in summarization, including the more traditional
efforts in sentence extraction as well as the most novel
recent approaches for determining important content, for
domain and genre specific summarization and for evaluation of
summarization. We also discuss the challenges that remain
open, in particular the need for language generation and
deeper semantic understanding of language that would be
necessary for future advances in the field.
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| Parallel Processing Letters 20th Anniversary
Celebration |
Parallel Processing Letters Journal (PPL)
celebrates its 20th anniversary this year,
which also marks Professor Selim Akl's 5th year as its
Editor-in-Chief. To commemorate this special occasion, we are
granting free access to the September 2011 special issue on
Large Scale Parallel Processing for September and October.
Do visit the
website at http://www.worldscinet.com/ppl/
in these months for your free access to the September issue!
If you are
interested in purchasing any of these articles, please
purchase via our pay per view service.
Does your library
have a subscription? If not, click here
to recommend this journal to your library. To request an
institutional trial to the journal, please have your librarian
email tr...@wspc.com.
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| General Interests |
|
Managing
Knowledge Assets,
Creativity and
Innovation
Dorothy A Leonard
" Dorothy Leonard's path-breaking
research and writing on innovation have guided the
field for over 20 years. This collection is an
indispensable guide to her most important
contributions. They reveal how knowledge, people,
and organizations facilitate -- or hinder -- the
genesis of products that change the world.
"
-- Teresa M Amabile,
Harvard Business School
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| Special Announcement |
Amazon
Author Central Program 
If you have
authored some books and have yet to be notified about
this, you will be delighted to know that the Amazon Author
Central is a program provided by
Amazon.com for authors to promote their books for free
and share the most updated information about their works
and themselves. This program allows authors to upload
their biography, photos, blogs, video and other events.
If you have
yet to register for this free service, it is highly
encouraged that you do so as it will serve as a free
marketing tool for your titles. Getting customers to
know you is an effective way to introduce your books to
them. For more information, please visit Amazon Author
Central.
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International Journal of Neural Systems (IJNS)
International Journal of Information Technology &
Decision Making (IJITDM)
