December 2003, ISBN 1-4020-1817-7, Hardbound
This book aims to provide a valuable source,
which focuses on
interdisciplinary methods and affiliate research
in the area of
Geometric Modeling and Graphics. It aims
to provide the user
community with a variety of Geometric Modeling
techniques,
applications, systems and tools necessary
for various real life
problems in areas such as Designing objects,
Medical
Visualization, Scientific Data Visualization,
Archaeology, Toon
Rendering, Virtual Reality, Body Simulation,
etc. It also aims to
collect and disseminate information from
various disciplines
including Curve and Surface Fitting, Geometric
Algorithms,
Scientific Visualization, Shape Abstraction
and Modeling,
Intelligent CAD Systems, Computational Geometry,
Solid Modeling,
Shape Analysis and Description, Medical and
Industrial
Applications. The major goal of this book
is to stimulate views
and provide a source where researchers and
practitioners can find
the latest developments in the field of Geometric
Modeling and
related practical issues. The book is useful
for researchers,
practicing engineers, computer scientists,
and many others who
seek state of the art techniques, applications,
systems and tools
for Geometric Modeling and Graphics. The
book will be a useful
source of ideas and techniques for those
who seek further
research and practice in the development
and applications of
Computer Aided Geometric Modeling. The introduction
to various
techniques and applications, together with
the developed systems
and tools, may serve to stimulate the interest
of undergraduate
senior students as well as graduate students
in the areas of
Computer Science, Engineering, and Mathematics.
The book consists
of twenty-two well documented chapters distributed
in three
sections of Geometric Modeling Techniques,
Applications, Systems
and Tools.
September 2003, ISBN 1-4020-1603-4, Paperback
Book Series: EDMUND HUSSERL Collected Works
: Volume 10
Translated from the German
In his first book, Philosophy of Arithmetic,
Edmund Husserl
provides a carefully worked out account of
number as a categorial
or formal feature of the objective world,
and of arithmetic as a
symbolic technique for mastering the infinite
field of numbers
for knowledge. It is a realist account of
numbers and number
relations that interweaves them into the
basic structure of the
universe and into our knowledge of reality.
It provides an answer
to the question of how arithmetic applies
to reality, and gives
an account of how, in general, formalized
systems of symbols work
in providing access to the world. The "appendices"
to
this book provide some of Husserl's subsequent
discussions of how
formalisms work, involving David Hilbert's
program of
completeness for arithmetic. "Completeness"
is
integrated into Husserl's own problematic
of the "imaginary",
and allows him to move beyond the analysis
of "representations"
in his understanding of the logic of mathematics.
Husserl's work here provides an alternative
model of what "conceptual
analysis" should be ? minus the "linguistic
turn",
but inclusive of language and linguistic
meaning. In the process,
he provides case after case of "Phenomenological
Analysis"
? fortunately unencumbered by that title
? of the convincing type
that made Husserl's life and thought a fountainhead
of much of
the most important philosophical work of
the twentieth Century in
Europe. Many Husserlian themes to be developed
at length in later
writings first emerge here: Abstraction,
internal time
consciousness, polythetic acts, acts of higher
order ('founded'
acts), Gestalt qualities and their role in
knowledge,
formalization (as opposed to generalization),
essence analysis,
and so forth.
This volume is a window on a period of rich
and illuminating
philosophical activity that has been rendered
generally
inaccessible by the supposed "revolution"
attributed to
"Analytic Philosophy" so-called.
Careful exposition and
critique is given to every serious alternative
account of number
and number relations available at the time.
Husserl's extensive
and trenchant criticisms of Gottlob Frege's
theory of number and
arithmetic reach far beyond those most commonly
referred to in
the literature on their views.
December 2003, ISBN 1-4020-7679-7, Hardbound
Since the first papers laying its foundations
as a subfield of
Complex Analysis the theory of reproducing
kernel Hilbert spaces
(RKHS) has proved to be a powerful tool in
many fields of Pure
and Applied Mathematics, and in particular
in Probability and
Statistics. Nowadays, the applied mathematician
who wants to
understand applications or handle problems
involving RKHS has to
refer to papers scattered in a huge body
of literature. Therefore
we felt the need for a textbook gathering
the main points of the
theory in a unified, friendly and up to date
fashion and
presenting an accurate picture of its applications
in Probability
and Statistics.
The fact that reproducing kernels are covariance
functions
explains the early role of RKHS in inference
problems on
stochastic processes. The continuous rise
of applications of RKHS
theory and the recent burst of the field
of Support Vector
Machines attest that the scope of its applications
is far from
being exhausted.
The book covers theoretical questions including
the latest
extension of the formalism (therefore of
interest to pure
mathematicians), as well as more practical
ones such as
computational issues. It focuses on some
of the more fruitful and
promising applications, including statistical
signal processing,
nonparametric curve estimation, random measures,
limit theorems,
learning theory and some applications at
the fringe between
Statistics and Approximation Theory. The
intention is to put
together topics apparently different but
sharing the same
background. The text is geared to graduate
students in
Statistics, Mathematics or Engineering, or
to scientists with an
equivalent level. A lot of examples and applications
are given
and the book contains a broad variety of
exercises so that it can
be used as a textbook at a postgraduate level.
November 2003, ISBN 1-4020-7651-7, Hardbound
Book Series: THE KLUWER INTERNATIONAL SERIES
ON BIOMETRICS :
Volume 1
Biometrics such as fingerprint, face, gait,
iris, voice and
signature, recognizes one's identity using
his/her physiological
or behavioral characteristics. Among these
biometric signs,
fingerprint has been researched the longest
period of time, and
shows the most promising future in real-world
applications.
However, because of the complex distortions
among the different
impressions of the same finger, fingerprint
recognition is still
a challenging problem.
Computational Algorithms For Fingerprint
Recognition presents an
entire range of novel computational algorithms
for fingerprint
recognition. These include feature extraction,
indexing,
matching, classification, and performance
prediction/validation
methods, which have been compared with state-of-art
algorithms
and found to be effective and efficient on
real-world data. All
the algorithms have been evaluated on NIST-4
database from
National Institute of Standards and Technology
(NIST). Specific
algorithms addressed include:
Learned template based minutiae extraction
algorithm,
Triplets of minutiae based fingerprint indexing
algorithm,
Genetic algorithm based fingerprint matching
algorithm,
Genetic programming based feature learning
algorithm for
fingerprint classification,
Comparison of classification and indexing
based approaches for
identification,
Fundamental fingerprint matching performance
prediction analysis
and its validation.
Computational Algorithms For Fingerprint
Recognition 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