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

Massively parallel single-chip multiprocessors (CMP) share a number of traits with biological systems such as neural networks. These biological systems have therefore inspired a number of concepts that may help to overcome some of the problems that will come up in future circuit technologies. In this work we present a first comparison of CMPs based on processor cores of different complexity and estimate the efficiency of CMPs with regards to overall performance and energy consumption. The analysis is based on an analytical model of chip multiprocessing that can help to estimate the runtime and energy consumption of different parallel algorithms. As in previous work we will use the GigaNetIC architecture as a basis for the different CMP architectures.

Bio-inspired massively parallel architectures for nanotechnologies

According to the method data are stored in extents whose addresses are distributed uniformly over the storage media by use of an address bit fraction and an offset bit fraction. The addressing jumps the storage location no longer required for storing the extents coherently within consecutive ranges on a memory unit within the memory system, but in distributed mode is linked logically with other ranges of a memory system. The invention also relates to a corresponding computer program product and a computer-readable storage medium.

Meta-information managing method for distributing data blocks or objects over computer-readable storage media, especially in fault-tolerant systems, combines extent and offset fraction for uniform data distribution

A cube clustering problem which is to be solved by a colony of locally communicating
robots is introduced. The performance of the robot colony solving the cube
clustering problem is analysed regarding the number of £nal cluster points and the optimal
robot density that solves the problem the fastest. Parallel computing theory is applied to
determine the optimal robot density. The modelled performance matches with experiments
executed with the minirobot Khepera.

Performance Analysis of a Colony of Locally Communicating Robots

Key components for a synchronous 10-Gbaud, 40-Gbit/s QPSK polarization division multiplex transmission testbed are being developed: LiNbO3 Z-cut QPSK modulator, LiNbO3 90° hybrid co-packaged with balanced photoreceiver OEICs, SiGe/CMOS circuits for digital signal processing.

European “synQPSK” Project: Toward Synchronous Optical Quadrature Phase Shift Keying with DFB Lasers

The local cluster neural net (LC net) is a feedfoward net suitable for continuous function approximation and discrete classification tasks. All operations of the LC net can be realized in analog circuits. Therefore we implemented the LC net in analog VLSI hardware for a 3 V power supply. Main applications of the LC net are control tasks in autonomous systems that can be battery powered. In this paper we describe the CMOS VLSI realization and present the results of the comprehensive test measurement for characterising the performance of the implementation.

Ulrich Rückert

Papers

Bio-inspired massively parallel architectures for nanotechnologies

Meta-information managing method for distributing data blocks or objects over computer-readable storage media, especially in fault-tolerant systems, combines extent and offset fraction for uniform data distribution

Performance Analysis of a Colony of Locally Communicating Robots

European “synQPSK” Project: Toward Synchronous Optical Quadrature Phase Shift Keying with DFB Lasers

An analog local cluster neural net for a 3 V supply