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Parallel Algorithms for Machine Intelligence and Vision

  • Vipin Kumar
  • P. S. Gopalakrishnan
  • Laveen N. Kanal

Part of the Symbolic Computation book series (SYMBOLIC)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Vipin Kumar, V. Nageshwara Rao
    Pages 1-41
  3. Curt Powley, Chris Ferguson, Richard E. Korf
    Pages 42-65
  4. R. Feldmann, B. Monien, P. Mysliwietz, O. Vornberger
    Pages 66-101
  5. Benjamin W. Wah, Guo-Jie Li, Chee-Fen Yu
    Pages 102-145
  6. L. V. Kaié
    Pages 146-181
  7. Mark E. Giuliano, Madhur Kohli, Jack Minker, Irene Durand
    Pages 182-231
  8. William C. Hopkins, Lynette Hirschman, Robert C. Smith
    Pages 232-270
  9. Vipin Chaudhary, J. K. Aggarwal
    Pages 271-309
  10. Gilbert Verghese, Karey Lynch Gale, Charles R. Dyer
    Pages 310-339
  11. Sanjay Ranka, Sartaj Sahni
    Pages 360-399
  12. Mehrnoosh Mary Eshaghian, V. K. Prasanna Kumar
    Pages 400-423
  13. Back Matter
    Pages 425-435

About this book

Introduction

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.

Keywords

Scala Stereo algorithm algorithms computer vision control intelligence memory natural language problem solving real-time simulation tracking

Editors and affiliations

  • Vipin Kumar
    • 1
  • P. S. Gopalakrishnan
    • 2
  • Laveen N. Kanal
    • 3
  1. 1.Computer Science DepartmentUniversity of MinnesotaMinneapolisUSA
  2. 2.IBM T.J. Watson Research CenterYorktown HeightsUSA
  3. 3.LNK CorporationRiverdaleUSA

Bibliographic information