Parallel Algorithms For Computer Vision On The Connection Machine
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Parallel Algorithms For Computer Vision On The Connection Machine
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Author : Massachusetts Institute of Technology. Artificial Intelligence Laboratory
language : en
Publisher:
Release Date : 1986
Parallel Algorithms For Computer Vision On The Connection Machine written by Massachusetts Institute of Technology. Artificial Intelligence Laboratory and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with categories.
Parallel Algorithms For Computer Vision On The Connection Machine
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Author : James Joseph Little
language : en
Publisher:
Release Date : 1986
Parallel Algorithms For Computer Vision On The Connection Machine written by James Joseph Little and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Computer vision categories.
The Connection Machine is a fine-grained parallel computer having up to 64K processors. It supports both local communication among the processors, which are situated in a two-dimensional mesh, and high bandwidth communication among processors at arbitrary locations, using a message-passing network. We present solutions to a set of Image Understanding problems for the Connection Machine. These problems were proposed by DARPA to evaluate architectures for Image Understanding systems, and are intended to comprise a representative sample of fundamental procedures to be used in Image Understanding. The solutions on the Connection Machine embody general methods for filtering images, determining connectivity among image elements, determining spatial relations of image elements and computing graph properties, such as matchings and shortest paths.
Parallel Image Processing
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Author : M Nivat
language : en
Publisher: World Scientific
Release Date : 1992-10-29
Parallel Image Processing written by M Nivat and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992-10-29 with Computers categories.
Contents:Three-Dimensional Object Pattern Representation by Array Grammars (P S P Wang)Stochastic Puzzle Grammars (R Siromoney et al.)Parallel Recognition of High Dimensional Images (M Nivat & A Saoudi)Two-Dimensional Uniquely Parsable Isometric Array Grammars (Y Yamamoto & K Morita)Replicated Image Algorithms and Their Analyses on SIMD Machines (P J Narayanan & L S Davis)The Depth and Motion Analysis Machine (O D Faugeras et al.)Image Analysis on Massively Parallel Computers: An Architecture Point of View (A Mérigot & B Zavidovique)Parallel Algorithm for Colour Texture Generation Using the Random Neural Network Model (V Atalay & E Gelenbe)and other papers Readership: Computer scientists. keywords:
Parallel Algorithms For Machine Intelligence And Vision
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Author : Vipin Kumar
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Parallel Algorithms For Machine Intelligence And Vision written by Vipin Kumar and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
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.
Parallel Processing For Artificial Intelligence 1
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Author : L.N. Kanal
language : en
Publisher: Elsevier
Release Date : 2014-06-28
Parallel Processing For Artificial Intelligence 1 written by L.N. Kanal and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-28 with Computers categories.
Parallel processing for AI problems is of great current interest because of its potential for alleviating the computational demands of AI procedures. The articles in this book consider parallel processing for problems in several areas of artificial intelligence: image processing, knowledge representation in semantic networks, production rules, mechanization of logic, constraint satisfaction, parsing of natural language, data filtering and data mining. The publication is divided into six sections. The first addresses parallel computing for processing and understanding images. The second discusses parallel processing for semantic networks, which are widely used means for representing knowledge - methods which enable efficient and flexible processing of semantic networks are expected to have high utility for building large-scale knowledge-based systems. The third section explores the automatic parallel execution of production systems, which are used extensively in building rule-based expert systems - systems containing large numbers of rules are slow to execute and can significantly benefit from automatic parallel execution. The exploitation of parallelism for the mechanization of logic is dealt with in the fourth section. While sequential control aspects pose problems for the parallelization of production systems, logic has a purely declarative interpretation which does not demand a particular evaluation strategy. In this area, therefore, very large search spaces provide significant potential for parallelism. In particular, this is true for automated theorem proving. The fifth section considers the problem of constraint satisfaction, which is a useful abstraction of a number of important problems in AI and other fields of computer science. It also discusses the technique of consistent labeling as a preprocessing step in the constraint satisfaction problem. Section VI consists of two articles, each on a different, important topic. The first discusses parallel formulation for the Tree Adjoining Grammar (TAG), which is a powerful formalism for describing natural languages. The second examines the suitability of a parallel programming paradigm called Linda, for solving problems in artificial intelligence. Each of the areas discussed in the book holds many open problems, but it is believed that parallel processing will form a key ingredient in achieving at least partial solutions. It is hoped that the contributions, sourced from experts around the world, will inspire readers to take on these challenging areas of inquiry.
Parallel Algorithms For Digital Image Processing Computer Vision And Neural Networks
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Author : Ioannis Pitas
language : en
Publisher:
Release Date : 1993-04-09
Parallel Algorithms For Digital Image Processing Computer Vision And Neural Networks written by Ioannis Pitas and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-04-09 with Computers categories.
World-renowned contributors present papers concerning algorithms used on the latest generation of parallel machines (MIMD). Details key applications running the gamut from medical imaging, visualization and remote sensing to HDTV, demonstrating the large computational complexity necessary to perform these tasks.
Parallel Algorithms For Computer Vision
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Author : Tomaso Poggio
language : en
Publisher:
Release Date : 1987
Parallel Algorithms For Computer Vision written by Tomaso Poggio and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with Computer vision categories.
The general goals of this research effort is to explore the potential applications and performance of fine grained computer architectures for vision. The body of this report gives a brief overview of the results of the research during the first twelve months of effort. A taxonomy of parallel vision algorithms has been refined. Parallel versions of several Class 1 algorithms (for early vision, directly derived from regularization methods) have been designed. This preparatory work allowed the implementation of several of these algorithms on the Connection Machine within a few days when it became available to the researchers. Class 2 and 3 algorithms have also been designed, while at the same time studying some of the associated basic problems in recognition and representation. (Author).
Parallel Architectures And Parallel Algorithms For Integrated Vision Systems
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Author : Alok N. Choudary
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Parallel Architectures And Parallel Algorithms For Integrated Vision Systems written by Alok N. Choudary and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Computer vision is one of the most complex and computationally intensive problem. Like any other computationally intensive problems, parallel pro cessing has been suggested as an approach to solving the problems in com puter vision. Computer vision employs algorithms from a wide range of areas such as image and signal processing, advanced mathematics, graph theory, databases and artificial intelligence. Hence, not only are the comput ing requirements for solving vision problems tremendous but they also demand computers that are efficient to solve problems exhibiting vastly dif ferent characteristics. With recent advances in VLSI design technology, Single Instruction Multiple Data (SIMD) massively parallel computers have been proposed and built. However, such architectures have been shown to be useful for solving a very limited subset of the problems in vision. Specifically, algorithms from low level vision that involve computations closely mimicking the architec ture and require simple control and computations are suitable for massively parallel SIMD computers. An Integrated Vision System (IVS) involves com putations from low to high level vision to be executed in a systematic fashion and repeatedly. The interaction between computations and information dependent nature of the computations suggests that architectural require ments for computer vision systems can not be satisfied by massively parallel SIMD computers.
Parallel Processing For Artificial Intelligence 3
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Author : J. Geller
language : en
Publisher: Elsevier
Release Date : 1997-02-10
Parallel Processing For Artificial Intelligence 3 written by J. Geller and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-02-10 with Computers categories.
The third in an informal series of books about parallel processing for Artificial Intelligence, this volume is based on the assumption that the computational demands of many AI tasks can be better served by parallel architectures than by the currently popular workstations. However, no assumption is made about the kind of parallelism to be used. Transputers, Connection Machines, farms of workstations, Cellular Neural Networks, Crays, and other hardware paradigms of parallelism are used by the authors of this collection. The papers arise from the areas of parallel knowledge representation, neural modeling, parallel non-monotonic reasoning, search and partitioning, constraint satisfaction, theorem proving, parallel decision trees, parallel programming languages and low-level computer vision. The final paper is an experience report about applications of massive parallelism which can be said to capture the spirit of a whole period of computing history. This volume provides the reader with a snapshot of the state of the art in Parallel Processing for Artificial Intelligence.
Parallel Architectures And Algorithms For Image Understanding
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Author : V. K. Prasanna Kumar
language : en
Publisher:
Release Date : 1991
Parallel Architectures And Algorithms For Image Understanding written by V. K. Prasanna Kumar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Computers categories.