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Vlsi Parallel Computing For Pattern Recognition Artificial Intelligence
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Book Synopsis VLSI and Parallel Computing for Pattern Recognition and Artificial Intelligence by : N Ranganathan
Download or read book VLSI and Parallel Computing for Pattern Recognition and Artificial Intelligence written by N Ranganathan and published by World Scientific. This book was released on 1995-06-30 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers parallel algorithms and architectures and VLSI chips for a range of problems in image processing, computer vision, pattern recognition and artificial intelligence. The specific problems addressed include vision and image processing tasks, Fast Fourier Transforms, Hough Transforms, Discrete Cosine Transforms, image compression, polygon matching, template matching, pattern matching, fuzzy expert systems and image rotation. The collection of papers gives the reader a good introduction to the state-of-the-art, while for an expert this serves as a good reference and a source of some new contributions in this field. Contents:ENPASSANT: An Environment for Evaluating Massively Parallel Array Architectures for Spatially Mapped Applications (M C Herbordt & C C Weems)A Reconfigurable Architecture for Image Processing and Computer Vision (S M Bhandarkar et al.)A Design Methodology for Very Large Array Processors — Part 1: GIPOP Processor Array (N Venkateswaran et al.)A Design Methodology for Very Large Array Processors — Part 2: PACUBE VLSI Arrays (N Venkateswaran et al.)A VLSI Implementation of Inverse Discrete Cosine Transform (A K Bhattacharya & S S Haider)Systolic Merging and Ranking of Votes for the Generalized Hough Transform (M Albanesi & M Ferretti)High Speed Parallel VLSI Architectures for Image Decorrelation (T Acharya & A Mukherjee)PMAC: A Polygon Matching Chip (R Sastry & N Ranganathan)Quadtree Algorithms for Template Matching on Mesh Connected Computer (H Senoussi & A Saoudi)Fast Pattern-Matching Algorithm on Modular Mesh-Connected Computers with Multiple Buses (K L Chung)A VLSI Parallel Architecture for Fuzzy Expert Systems (V Catania & G Ascia)VLSI Implementation of an Efficient ASIC Architecture for Real-Time Rotation of Digital Images (I Ghosh & B Majumdar) Readership: Computer scientists and electrical engineers. keywords:
Book Synopsis VLSI & Parallel Computing for Pattern Recognition & Artificial Intelligence by : N. Ranganathan
Download or read book VLSI & Parallel Computing for Pattern Recognition & Artificial Intelligence written by N. Ranganathan and published by World Scientific. This book was released on 1995 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers parallel algorithms and architectures and VLSI chips for a range of problems in image processing, computer vision, pattern recognition and artificial intelligence. The specific problems addressed include vision and image processing tasks, Fast Fourier Transforms, Hough Transforms, Discrete Cosine Transforms, image compression, polygon matching, template matching, pattern matching, fuzzy expert systems and image rotation. The collection of papers gives the reader a good introduction to the state-of-the-art, while for an expert this serves as a good reference and a source of some new contributions in this field.
Book Synopsis VLSI & Parallel Computing for Pattern Recognition & Artificial Intelligence by : N. Ranganathan
Download or read book VLSI & Parallel Computing for Pattern Recognition & Artificial Intelligence written by N. Ranganathan and published by . This book was released on 1995 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Parallel Processing for Artificial Intelligence 3 by : J. Geller
Download or read book Parallel Processing for Artificial Intelligence 3 written by J. Geller and published by Elsevier. This book was released on 1997-02-10 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Pattern Recognition: Architectures, Algorithms and Applications by :
Download or read book Pattern Recognition: Architectures, Algorithms and Applications written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Pattern Recognition by : Rjean Plamondon
Download or read book Pattern Recognition written by Rjean Plamondon and published by World Scientific. This book was released on 1991 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains 15 reviewed papers selected from among those presented at the 4th Vision Interface Conference in Halifax, Canada 14 - 18 May 1990. The papers are grouped into three sections which deal with parallel architectures and neural networks, algorithms for analysis and processing, and systems and applications.
Book Synopsis Parallel Processing for Artificial Intelligence by : Laveen N. Kanal
Download or read book Parallel Processing for Artificial Intelligence written by Laveen N. Kanal and published by . This book was released on 1994 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Parallel VLSI Neural System Design by : David Zhang
Download or read book Parallel VLSI Neural System Design written by David Zhang and published by Springer. This book was released on 1999 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Aimed at researchers and graduate engineers working in the area of VLSI circuit and system design, as well as being a reference for senior undergraduate level courses on parallel neural computing and VLSI system applications, Parallel VLSI Neural System Design will prove useful in contributing to the understanding of this new and exciting discipline of ANNs System Engineering.
Book Synopsis Thinning Methodologies for Pattern Recognition by : Ching Y. Suen
Download or read book Thinning Methodologies for Pattern Recognition written by Ching Y. Suen and published by World Scientific. This book was released on 1994 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thinning is a technique widely used in the pre-processing stage of a pattern recognition system to compress data and to enhance feature extraction in the subsequent stage. It reduces a digitized pattern to a skeleton so that all resulting branches are 1 pixel thick. The method seems easy at first and has many advantages, however after two decades of intensive research, it has been found to be very challenging due to the difficulties in programming computers to do it.This collection of 15 papers by leading scientists working in the area examines the theoretical and experimental aspects of thinning methodologies. The authors have addressed the problems faced, compared their performance results with others, and assessed the challenges ahead. Researchers will find the volume helpful in shedding light on difficult issues and stimulating further research in the area.
Book Synopsis Parallel Processing for Artificial Intelligence 1 by : L.N. Kanal
Download or read book Parallel Processing for Artificial Intelligence 1 written by L.N. Kanal and published by Elsevier. This book was released on 2014-06-28 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Parallel Processing for Artificial Intelligence 2 by : V. Kumar
Download or read book Parallel Processing for Artificial Intelligence 2 written by V. Kumar and published by North Holland. This book was released on 1994-06-24 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the increasing availability of parallel machines and the raising of interest in large scale and real world applications, research on parallel processing for Artificial Intelligence (AI) is gaining greater importance in the computer science environment. Many applications have been implemented and delivered but the field is still considered to be in its infancy. This book assembles diverse aspects of research in the area, providing an overview of the current state of technology. It also aims to promote further growth across the discipline. Contributions have been grouped according to their subject: architectures (3 papers), languages (4 papers), general algorithms (6 papers), and applications (5 papers). The internationally sourced papers range from purely theoretical work, simulation studies, algorithm and architecture proposals, to implemented systems and their experimental evaluation. Since the book is a second volume in the parallel processing for AI series, it provides a continued documentation of the research and advances made in the field. The editors hope that it will inspire readers to investigate the possiblities for enhancing AI systems by parallel processing and to make new discoveries of their own!
Book Synopsis Parallel Processing and Applied Mathematics, Part I by : Roman Wyrzykowski
Download or read book Parallel Processing and Applied Mathematics, Part I written by Roman Wyrzykowski and published by Springer. This book was released on 2010-07-07 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: Annotation This book constitutes the proceedings of the 8th International Conference on Parallel Processing and Applied Mathematics, PPAM 2009, held in Wroclaw, Poland, in September 2009.
Book Synopsis Parallel Processing and Applied Mathematics by : Roman Wyrzykowski
Download or read book Parallel Processing and Applied Mathematics written by Roman Wyrzykowski and published by Springer. This book was released on 2014-05-05 with total page 809 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume-set (LNCS 8384 and 8385) constitutes the refereed proceedings of the 10th International Conference of Parallel Processing and Applied Mathematics, PPAM 2013, held in Warsaw, Poland, in September 2013. The 143 revised full papers presented in both volumes were carefully reviewed and selected from numerous submissions. The papers cover important fields of parallel/distributed/cloud computing and applied mathematics, such as numerical algorithms and parallel scientific computing; parallel non-numerical algorithms; tools and environments for parallel/distributed/cloud computing; applications of parallel computing; applied mathematics, evolutionary computing and metaheuristics.
Book Synopsis Image Processing and Pattern Recognition Based on Parallel Shift Technology by : Stepan Bilan
Download or read book Image Processing and Pattern Recognition Based on Parallel Shift Technology written by Stepan Bilan and published by CRC Press. This book was released on 2021-03-31 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designed to help researchers with artificial intelligence systems design, robotics, and developing software and hardware applications, this book describes the methods and algorithms for image pre-processing and recognition, based on a parallel shift technology of the imaging copy.
Book Synopsis Hardware Annealing in Analog VLSI Neurocomputing by : Bank W. Lee
Download or read book Hardware Annealing in Analog VLSI Neurocomputing written by Bank W. Lee and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rapid advances in neural sciences and VLSI design technologies have provided an excellent means to boost the computational capability and efficiency of data and signal processing tasks by several orders of magnitude. With massively parallel processing capabilities, artificial neural networks can be used to solve many engineering and scientific problems. Due to the optimized data communication structure for artificial intelligence applications, a neurocomputer is considered as the most promising sixth-generation computing machine. Typical applica tions of artificial neural networks include associative memory, pattern classification, early vision processing, speech recognition, image data compression, and intelligent robot control. VLSI neural circuits play an important role in exploring and exploiting the rich properties of artificial neural networks by using pro grammable synapses and gain-adjustable neurons. Basic building blocks of the analog VLSI neural networks consist of operational amplifiers as electronic neurons and synthesized resistors as electronic synapses. The synapse weight information can be stored in the dynamically refreshed capacitors for medium-term storage or in the floating-gate of an EEPROM cell for long-term storage. The feedback path in the amplifier can continuously change the output neuron operation from the unity-gain configuration to a high-gain configuration. The adjustability of the vol tage gain in the output neurons allows the implementation of hardware annealing in analog VLSI neural chips to find optimal solutions very efficiently. Both supervised learning and unsupervised learning can be implemented by using the programmable neural chips.
Book Synopsis Massively Parallel, Optical, and Neural Computing in the United States by : Gilbert Kalb
Download or read book Massively Parallel, Optical, and Neural Computing in the United States written by Gilbert Kalb and published by IOS Press. This book was released on 1992 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: A survey of products and research projects in the field of highly parallel, optical and neural computers in the USA. It covers operating systems, language projects and market analysis, as well as optical computing devices and optical connections of electronic parts.
Book Synopsis Parallel Computation and Computers for Artificial Intelligence by : J.S. Kowalik
Download or read book Parallel Computation and Computers for Artificial Intelligence written by J.S. Kowalik and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: It has been widely recognized that artificial intelligence computations offer large potential for distributed and parallel processing. Unfortunately, not much is known about designing parallel AI algorithms and efficient, easy-to-use parallel computer architectures for AI applications. The field of parallel computation and computers for AI is in its infancy, but some significant ideas have appeared and initial practical experience has become available. The purpose of this book has been to collect in one volume contributions from several leading researchers and pioneers of AI that represent a sample of these ideas and experiences. This sample does not include all schools of thought nor contributions from all leading researchers, but it covers a relatively wide variety of views and topics and in this sense can be helpful in assessing the state ofthe art. We hope that the book will serve, at least, as a pointer to more specialized literature and that it will stimulate interest in the area of parallel AI processing. It has been a great pleasure and a privilege to cooperate with all contributors to this volume. They have my warmest thanks and gratitude. Mrs. Birgitta Knapp has assisted me in the editorial task and demonstrated a great deal of skill and patience. Janusz S. Kowalik vii INTRODUCTION Artificial intelligence (AI) computer programs can be very time-consuming.
