Parallel Algorithms for Machine Intelligence and VisionVipin Kumar, P.S. Gopalakrishnan, Laveen N. Kanal 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. |
Contents
Preface | 1 |
VIPIN KUMAR and V NAGESHWARA | 37 |
Distributed Game Tree Search | 66 |
Copyright | |
10 other sections not shown
Other editions - View all
Parallel Algorithms for Machine Intelligence and Vision Vipin Kumar,P S Gopalakrishnan,Laveen N Kanal No preview available - 1990 |
Common terms and phrases
allocation alpha-beta alpha-beta pruning AND-parallelism architecture Artificial Intelligence atom best-first best-first search branching factor clause concurrent connected corresponding cutoff depth-first search dimensional convolution disparity distributed edge efficient evaluation Figure game tree goal tree graph heuristic Hough transform hypercube IEEE implementation input Intell interconnection isoefficiency function iteration Kumar labeled large number Logic Programming lower bound machine mesh message passing method MIMD multiprocessor node ordering number of processors obtained optical OR-parallel outin tree P₁ parallel algorithm parallel computer parallel DFS parallel execution Parallel Processing parallel window search parameters parse parse tree path performance pixels PRISM problem solving Proc Prolog pruning query REDUCE scheduling search overhead search space segment selection sequential serial shared memory SIMD simulation spatiotemporal image speedup stack strategy structure subproblems subtree systolic array tasks tion tree search tuple unification update values variables vision VLSI work-distribution scheme