From the Publisher: 
The accessible presentation of this book gives both a general view of the entire computer vision enterprise and also offers sufficient detail to be able to build useful applications. Users learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods. A CD-ROM with every copy of the text contains source code for programming practice, color images, and illustrative movies. Comprehensive and up-to-date, this book includes essential topics that either reflect practical significance or are of theoretical importance. Topics are discussed in substantial and increasing depth. Application surveys describe numerous important application areas such as image based rendering and digital libraries. Many important algorithms broken down and illustrated in pseudo code. Appropriate for use by engineers as a comprehensive reference to the computer vision enterprise.

Computer vision : a modern approach = 计算机视觉 : 一种现代的方法

An overview of the self-organizing map algorithm, on which the papers in this issue are based, is presented in this article.

The Self-Organizing Map

Fast Fourier Transform

Computer algebra systems are now ubiquitous in all areas of science and engineering. This highly successful textbook, widely regarded as the “bible of computer algebra”, gives a thorough introduction to the algorithmic basis of the mathematical engine in computer algebra systems. Designed to accompany oneor two-semester courses for advanced undergraduate or graduate students in computer science or mathematics, its comprehensiveness and reliability has also made it an essential reference for professionals in the area. Special features include: detailed study of algorithms including time analysis; implementation reports on several topics; complete proofs of the mathematical underpinnings; and a wide variety of applications (among others, in chemistry, coding theory, cryptography, computational logic, and the design of calendars and musical scales). A great deal of historical information and illustration enlivens the text. In this third edition, errors have been corrected and much of the Fast Euclidean Algorithm chapter has been renovated.

Modern computer algebra

The Artificial Intelligence field continues to be plagued by what can only be described as ‘bold promises for the future syndrome’, often perpetrated by researchers who should know better. While impartial assessment can point to concrete contributions over the past 50 years (such as automated theorem proving, games strategies, the LISP and Prolog high-level computer languages, Automatic Speech Recognition, Natural Language Processing, mobile robot path planning, unmanned vehicles, humanoid robots, data mining, and more), the more cynical argue that AI has witnessed more than its fair share of ‘unmitigated disasters’ during this time – see, for example [3,58,107,125,186]. The general public becomes rapidly jaded with such ‘bold predictions’ that fail to live up to their original hype, and which ultimately render the zealots’ promises as counter-productive.

Computational Intelligence: An Introduction

This paper describes how reflected broadband sound signals are marked by interference
phenomena if the surface of the ensonified object is structured. For an efficient
extraction of features of the signal that relate to the surface structure of the object, the calculation
of the cepstrum is introduced. A cylindrical test object is presented, which shows
an angle independent and an angle dependent structure. This allows to specify the accuracy
of the discrimination of structure sizes, that is based on a selected part of the cepstrum. In
addition, the object can be used as a landmark for ultrasonic sensing. Classification of the
cepstra is done by the statistical ‘One Nearest Neighbour’ (1NN) method as well as by a
‘Kohonen Self-Organising Feature Map’ (SOM). The results show, that changes in structure
size down to 0.1mm are detectable.

Neural Object Classification Using Ultrasonic Spectrum Analysis

Integrationsgerechte Umsetzung von assoziativen Netzwerken mit verteilter Speicherung

Demonstration of a Visualization Tool for the Mini-Robot Khepera

Vernetzte Arbeitsumgebungen: Körpernahe und tragbare Sensorik in der Arbeitswelt

Extremely down-scaled field effect transistor, innovative manufacturing of semiconductors, novel material and computing devices have led to rapid changes in the semiconductor industry which now allows more complex systems and more computing power per chip area than several years ago Albeit these significant improvements novel technology nodes also offer unsolved problems to researchers and challenges to the designers In this paper, we give a brief overview about actual trends and problems in the semiconductor industry and how the upcoming tasks can be solved by the designers and researchers

Ulrich Rückert

Papers

Neural Object Classification Using Ultrasonic Spectrum Analysis

Integrationsgerechte Umsetzung von assoziativen Netzwerken mit verteilter Speicherung

Demonstration of a Visualization Tool for the Mini-Robot Khepera

Vernetzte Arbeitsumgebungen: Körpernahe und tragbare Sensorik in der Arbeitswelt

Neural inspired architectures for nanoelectronics