Parallel Algorithms for Machine Intelligence and Vision (Paperback, Softcover reprint of the original 1st ed. 1990)


Recent research results in the area of parallel algorithms for problem solving, search, natural language parsing, and computer vision, are brought together in this book. The research reported demonstrates that substantial parallelism can be exploited in various machine intelligence and vision problems. The chapter authors are prominent researchers actively involved in the study of parallel algorithms for machine intelligence and vision. Extensive experimental studies are presented that will help the reader in assessing the usefulness of an approach to a specific problem. Intended for students and researchers actively involved in parallel algorithms design and in machine intelligence and vision, this book will serve as a valuable reference work as well as an introduction to several research directions in these areas.

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Product Description

Recent research results in the area of parallel algorithms for problem solving, search, natural language parsing, and computer vision, are brought together in this book. The research reported demonstrates that substantial parallelism can be exploited in various machine intelligence and vision problems. The chapter authors are prominent researchers actively involved in the study of parallel algorithms for machine intelligence and vision. Extensive experimental studies are presented that will help the reader in assessing the usefulness of an approach to a specific problem. Intended for students and researchers actively involved in parallel algorithms design and in machine intelligence and vision, this book will serve as a valuable reference work as well as an introduction to several research directions in these areas.

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Product Details

General

Imprint

Springer-Verlag New York

Country of origin

United States

Series

Artificial Intelligence

Release date

September 2011

Availability

Expected to ship within 10 - 15 working days

First published

1990

Editors

, ,

Dimensions

235 x 155 x 23mm (L x W x T)

Format

Paperback

Pages

433

Edition

Softcover reprint of the original 1st ed. 1990

ISBN-13

978-1-4612-7994-5

Barcode

9781461279945

Categories

LSN

1-4612-7994-1



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