Algebraic geometry has found fascinating applications to coding theory and cryptography in the last few decades. This book aims to provide the necessary theoretical background for reading the contemporary literature on these applications. An aspect that we emphasize, as it is very useful for the applications, is the interplay between...

This practical technical guide to embedded middleware implementation offers a coherent framework that guides readers through all the key concepts necessary to gain an understanding of this broad topic. Big picture theoretical discussion is integrated with down-to-earth advice on successful real-world use via step-by-step examples of each type...

First I put myself in...

One of the consequences of the information revolution is the ever-growing amount of
information we are surrounded with and the need to process this information
efficiently and extract meaningful knowledge. This phenomenon was termed “digital
obesity” or “information obesity” by Toshiba Ltd. One...

Semantic Web and Knowledge Management has been accepted as a critical enabler aiming to increase knowledge-related performance...

Kernel Learning Algorithms for Face Recognition covers the framework of kernel based face recognition. This book discusses the advanced kernel learning algorithms and its application on face recognition. This book also focuses on the theoretical deviation, the system framework and experiments involving kernel based face recognition. Included...

Soft computing, as a collection of techniques exploiting approximation and tolerance for imprecision and uncertainty in traditionally intractable problems, has become very effective and popular especially because of the synergy derived from its components. The integration of constituent technologies provides complementary methods that allow...

Computer science, like other mathematical fields, cannot live without a tight relationship with reality. However, such a relationship is, frankly, not very common. This is probably why people so enthusiastically welcome a true meeting of theory and practice. In that sense, the coming together of XML and tree automata theory was a...

This hands-on guide cuts short the preamble and gets straight to the point – actually creating graphs, instead of just theoretical learning. Each recipe is specifically tailored to fulfill your appetite for visually representing you data in the best way possible. This book is for readers already familiar with the basics of R who want to...

Optimization is a subject that is widely and increasingly used in science, engineering, economics, management, industry, and other areas. It deals with selecting the best of many possible decisions in real-life environment, constructing computational methods to find optimal solutions, exploring the theoretical properties, and studying...

Since the early 1990s, genetic programming (GP)-a discipline whose goal is to enable the automatic generation of computer programs-has emerged as one of the most promising paradigms for fast, productive software development. GP combines biological metaphors gleaned from Darwin's theory of evolution with computer-science approaches drawn...

The development of pattern recognition methods on the basis of so-called Markov models is tightly coupled to the technological progress in the field of automatic speech recognition. Today, however, Markov chain and hidden Markov models are also applied in many other fields where the task is the modeling and analysis of chronologically...