Ebook: Parallel Algorithms for Machine Intelligence and Vision

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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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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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.
Content:
Front Matter....Pages i-xi
Scalable Parallel Formulations of Depth-First Search....Pages 1-41
Parallel Heuristic Search: Two Approaches....Pages 42-65
Distributed Game Tree Search....Pages 66-101
Multiprocessing of Combinatorial Search Problems....Pages 102-145
Parallel Problem Solving....Pages 146-181
Prism: a Testbed for Parallel Control....Pages 182-231
Or-Parallelism in Natural Language Parsing....Pages 232-270
Parallelism in Computer Vision: a Review....Pages 271-309
Real-Time, Parallel Motion Tracking of Three Dimensional Objects From Spatiotemporal Sequences....Pages 310-339
Parallel Simulation of a Connectionist Stereo Algorithm on a Shared-Memory Multiprocessor....Pages 340-359
Parallel Algorithms for Image Template Matching....Pages 360-399
Image Computations on Fine Grain Electro-Optical Arrays....Pages 400-423
Back Matter....Pages 425-435

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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.
Content:
Front Matter....Pages i-xi
Scalable Parallel Formulations of Depth-First Search....Pages 1-41
Parallel Heuristic Search: Two Approaches....Pages 42-65
Distributed Game Tree Search....Pages 66-101
Multiprocessing of Combinatorial Search Problems....Pages 102-145
Parallel Problem Solving....Pages 146-181
Prism: a Testbed for Parallel Control....Pages 182-231
Or-Parallelism in Natural Language Parsing....Pages 232-270
Parallelism in Computer Vision: a Review....Pages 271-309
Real-Time, Parallel Motion Tracking of Three Dimensional Objects From Spatiotemporal Sequences....Pages 310-339
Parallel Simulation of a Connectionist Stereo Algorithm on a Shared-Memory Multiprocessor....Pages 340-359
Parallel Algorithms for Image Template Matching....Pages 360-399
Image Computations on Fine Grain Electro-Optical Arrays....Pages 400-423
Back Matter....Pages 425-435
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