Parallel Algorithms for Machine Intelligence and Vision
Springer (Publisher)
Published on 6. April 1990
Book
Hardback
XI, 433 pages
978-0-387-97227-5 (ISBN)
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.
More details
Series
Edition
1990
Language
English
Place of publication
NY
United States
Target group
Research
Product notice
sewn/stitched
Cloth over boards
Illustrations
Bibliography
Dimensions
Height: 0 mm
Width: 0 mm
Weight
770 gr
ISBN-13
978-0-387-97227-5 (9780387972275)
DOI
10.1007/978-1-4612-3390-9
Schweitzer Classification
Other editions
Additional editions

Vipin Kumar | P.S. Gopalakrishnan | Laveen N. Kanal
Parallel Algorithms for Machine Intelligence and Vision
E-Book
12/2012
1st Edition
Springer
€96.29
Available for download

Vipin Kumar | P.S. Gopalakrishnan | Laveen N. Kanal
Parallel Algorithms for Machine Intelligence and Vision
Book
09/2011
Springer
€106.99
Shipment within 15-20 days
Content
Scalable Parallel Formulations of Depth-First Search.- Parallel Heuristic Search: Two Approaches.- Distributed Game Tree Search.- Multiprocessing of Combinatorial Search Problems.- Parallel Problem Solving.- PRISM: A Testbed for Parallel Control.- Or-Parallelism in Natural Language Parsing.- Parallelism in Computer Vision: A Review.- Real-Time, Parallel Motion Tracking of Three Dimensional Objects from Spatiotemporal Sequences.- Parallel Simulation of a Connectionist Stereo Algorithm on a Shared-Memory Multiprocessor.- Parallel Algorithms for Image Template Matching.- Image Computaions on Fine Grain Electro-Optical Arrays.