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Fundamentals of Digital Image Processing
Fundamentals of Digital Image Processing

Presents a thorough overview of the major topics of digital image processing, beginning with the basic mathematical tools needed for the subject. Includes a comprehensive chapter on stochastic models for digital image processing. Covers aspects of image representation including luminance, color, spatial and temporal properties of vision, and...

Adaptive Filtering Primer with MATLAB (Electrical Engineering Primer Series)
Adaptive Filtering Primer with MATLAB (Electrical Engineering Primer Series)

Because of the wide use of adaptive filtering in digital signal processing and, because most of the modern electronic devices include some type of an adaptive filter, a text that brings forth the fundamentals of this field was necessary. The material and the principles presented in this book are easily accessible to engineers, scientists, and...

Optimization for Machine Learning (Neural Information Processing series)
Optimization for Machine Learning (Neural Information Processing series)
The intersection of interests between machine learning and optimization has engaged many leading researchers in both communities for some years now. Both are vital and growing fields, and the areas of shared interest are expanding too. This volume collects contributions from many researchers who have been a part of these...
Knowledge Needs and Information Extraction: Towards an Artificial Consciousness (ISTE)
Knowledge Needs and Information Extraction: Towards an Artificial Consciousness (ISTE)
The title of this book is both subversive and ambitious. It is subversive because few academic publications deal with this subject. There has, of course, been work done in robotics on artificially reproducing a “human” movement. One can also find more cognitive works about the way of reasoning – i.e. storing and...
Reliability Modeling, Analysis And Optimization
Reliability Modeling, Analysis And Optimization

As our modern information-age society grows in complexity both in terms of embedded systems and applications, the problems and challenges in reliability become ever more complex. Bringing together many of the leading experts in the field, this volume presents a broad picture of current research on system modeling and optimization in...

A First Course in Statistical Programming with R
A First Course in Statistical Programming with R

This text began as notes for a course in statistical computing for second year actuarial and statistical students at the University of Western Ontario. Both authors are interested in statistical computing, both as support for our other research and for its own sake. However, we have found that our students were not learning the right sort of...

Fuzzy Optimization: Recent Advances and Applications (Studies in Fuzziness and Soft Computing)
Fuzzy Optimization: Recent Advances and Applications (Studies in Fuzziness and Soft Computing)
Optimization is an extremely important area in science and technology which provides powerful and useful tools and techniques for the formulation and solution of a multitude of problems in which we wish, or need, to find a best possible option or solution. It has been an important area of research for more than half a century,...
Mathematical Programming: Theory and Methods
Mathematical Programming: Theory and Methods
This book is a result of my teaching mathematical programming to graduate students of the University of Delhi for over thirty years. In preparing this book, a special care has been made to see that it is self-contained and that it is suitable both as a text and as a reference.

The book is divided in three parts.
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Modeling Online Auctions (Statistics in Practice)
Modeling Online Auctions (Statistics in Practice)

Explore cutting-edge statistical methodologies for collecting, analyzing, and modeling online auction data

Online auctions are an increasingly important marketplace, as the new mechanisms and formats underlying these auctions have enabled the capturing and recording of large amounts of bidding data that are used to make...

Scheduling: Theory, Algorithms, and Systems
Scheduling: Theory, Algorithms, and Systems

Sequencing and scheduling is a formof decision-making that plays a crucial role in manufacturing and service industries. In the current competitive environment effective sequencing and scheduling has become a necessity for survival in the market-place. Companies have to meet shipping dates that have been committed to customers, as failure to...

Tools and Algorithms for the Construction and Analysis of Systems: 17th International Conference
Tools and Algorithms for the Construction and Analysis of Systems: 17th International Conference

This volume contains the proceedings of the 17th International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS 2011). TACAS 2011 took place in Saarbr¨ucken, Germany, March 28–31, 2011, as part of the 14th European Joint Conferences on Theory and Practice of Software (ETAPS 2011), whose...

Markov Chains and Stochastic Stability (Cambridge Mathematical Library)
Markov Chains and Stochastic Stability (Cambridge Mathematical Library)
'This second edition remains true to the remarkable standards of scholarship established by the first edition ... it will no doubt be a very welcome addition to the literature.' Peter W. Glynn, Prologue to the Second Edition

Meyn & Tweedie is back! The bible on Markov chains in general state spaces has been brought up to
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