Skip to main content
View Cart

Books in Computer science

The Computing collection presents a range of foundational and applied content across computer and data science, including fields such as Artificial Intelligence; Computational Modelling; Computer Networks, Computer Organization & Architecture, Computer Vision & Pattern Recognition, Data Management; Embedded Systems & Computer Engineering; HCI/User Interface Design; Information Security; Machine Learning; Network Security; Software Engineering.

  • Time-Varying Image Processing and Moving Object Recognition

    Proceedings of the 4th International Workshop Florence, Italy, June 10-11, 1993
    • 1st Edition
    • March 17, 1994
    • V. Cappellini
    • English
    In the area of Digital Image Processing the new area of "Time-Varying Image Processing and Moving Oject Recognition" is contributing to impressive advances in several fields. Presented in this volume are new digital image processing and recognition methods, implementation techniques and advanced applications such as television, remote sensing, biomedicine, traffic, inspection, and robotics. New approaches (such as digital transforms, neural networks) for solving 2-D and 3-D problems are described. Many papers concentrate on motion estimation and recognition i.e. tracking of moving objects. Overall, the book describes the state-of-the-art (theory, implementation, applications) of this developing area, together with future trends. The work will be of interest not only to researchers, professors and students in university departments of engineering, communications, computers and automatic control, but also to engineers and managers of industries concerned with computer vision, manufacturing, automation, robotics and quality control.

  • Diffusion, Transfer and Implementation of Information Technology

    • 1st Edition
    • Volume 45
    • March 17, 1994
    • L. Levine
    • English
    The diffusion, transfer and implementation of information and software technology is discussed in this volume. Contributions have been sourced from academia, government and industry specialists to afford a representation from as many perspectives as possible on research and practice. The publication is divided into 7 parts, each of the first 6 sections representing a major area of concern in current technology transfer of information. The last chapter includes the summary reports of working sessions referred to in previous sections.

  • Machine Learning

    A Multistrategy Approach, Volume IV
    • 1st Edition
    • February 9, 1994
    • Ryszard S. Michalski + 1 more
    • English
    Multistrategy learning is one of the newest and most promising research directions in the development of machine learning systems. The objectives of research in this area are to study trade-offs between different learning strategies and to develop learning systems that employ multiple types of inference or computational paradigms in a learning process. Multistrategy systems offer significant advantages over monostrategy systems. They are more flexible in the type of input they can learn from and the type of knowledge they can acquire. As a consequence, multistrategy systems have the potential to be applicable to a wide range of practical problems. This volume is the first book in this fast growing field. It contains a selection of contributions by leading researchers specializing in this area.

  • Computability, Complexity, and Languages

    Fundamentals of Theoretical Computer Science
    • 2nd Edition
    • February 3, 1994
    • Martin Davis + 2 more
    • English
    Computability, Complexity, and Languages is an introductory text that covers the key areas of computer science, including recursive function theory, formal languages, and automata. It assumes a minimal background in formal mathematics. The book is divided into five parts: Computability, Grammars and Automata, Logic, Complexity, and Unsolvability.

  • The MIPS Programmer's Handbook

    • 1st Edition
    • February 1, 1994
    • Erin Farquhar + 1 more
    • English
    A hands-on view of the highly successful MIPS family of microprocessors, written for programmers developing systems applications for the MIPS platform. The MIPS Programmer's Handbook describes the MIPS architecture from the perspective of assembly- and C-language programmers, with special emphasis on issues related to embedded applications. Engineers writing system-level programs for MIPS-based embedded systems will find the topic selection especially useful including the sections on software conventions, initializing the processor in a bare machine environment, and writing exception handlers. For convenient use, the instruction set reference is presented with only one page per instruction. The authors focus on the instructions available to assembly-language programmers, rather than on the hardware-level instruction set documented in data books released by vendors of the MIPS processor. Provides enough detail for anyone doing serious system-level programming. Also included are ten complete program examples, with line-by-line explanations.

  • The Vector-Valued Maximin

    • 1st Edition
    • Volume 193
    • December 9, 1993
    • Slukvadze
    • English

  • Advances in Electronics and Electron Physics

    • 1st Edition
    • Volume 87
    • November 17, 1993
    • English

  • Mathematical Approaches to Neural Networks

    • 1st Edition
    • Volume 51
    • October 27, 1993
    • J.G. Taylor
    • English
    The subject of Neural Networks is being seen to be coming of age, after its initial inception 50 years ago in the seminal work of McCulloch and Pitts. It is proving to be valuable in a wide range of academic disciplines and in important applications in industrial and business tasks. The progress being made in each approach is considerable. Nevertheless, both stand in need of a theoretical framework of explanation to underpin their usage and to allow the progress being made to be put on a firmer footing.This book aims to strengthen the foundations in its presentation of mathematical approaches to neural networks. It is through these that a suitable explanatory framework is expected to be found. The approaches span a broad range, from single neuron details to numerical analysis, functional analysis and dynamical systems theory. Each of these avenues provides its own insights into the way neural networks can be understood, both for artificial ones and simplified simulations. As a whole, the publication underlines the importance of the ever-deepening mathematical understanding of neural networks.

  • The Cognitive Psychology of Knowledge

    • 1st Edition
    • Volume 101
    • October 1, 1993
    • G. Strube + 1 more
    • English
    The present book is a result of a seven-year (1986-1992) national research program in cognitive science in Germany, presumably the first large scale cognitive science program there. Anchored in psychology, and therefore christened Wissenpsychologie (psychology of knowledge), it has found interdisciplinary resonance, especially in artificial intelligence and education. The research program brought together cognitive scientists from over twenty German universities and more than thirty single projects were funded. The program was initiated by Heinz Mandl and Hans Spada, the main goals of which were to investigate the acquisition of knowledge, the access to knowledge, and the modification and application of knowledge from a psychological perspective. Emphasis was placed on formalisms of knowledge representation and on the processes involved. In many of the projects this was combined with computer simulations. A final but equally important goal was the development of experimental paradigms and methods for data analysis that are especially suited to investigate knowledge based processes.The research program has had a major impact on cognitive psychology in Germany. Research groups were established at many universities and research equipment was provided. It also inspired a considerable number of young scientists to carry out cognitive research, employ modeling techniques from artificial intelligence for psychological theorizing, and construct intelligent tutoring systems for education. Close contacts with cognitive scientists in the U.S. have helped to firmly integrate the program with international research endeavours. Each year, one or two workshops were held. The present volume is the result of the final workshop which was held in September 1992. Selected results from seventeen projects are presented in this book. The volume is enriched by three guest scholars who agreed to participate in the final workshop and to comment on the chapters of the book.

  • Categorization by Humans and Machines

    Advances in Research and Theory
    • 1st Edition
    • September 16, 1993
    • English
    The objective of the series has always been to provide a forum in which leading contributors to an area can write about significant bodies of research in which they are involved. The operating procedure has been to invite contributions from interesting, active investigators, and then allow them essentially free rein to present their perspectives on important research problems. The result of such invitations over the past two decades has been collections of papers which consist of thoughtful integrations providing an overview of a particular scientific problem. The series has an excellent tradition of high quality papers and is widely read by researchers in cognitive and experimental psychology.

Related subjects