vlsi-and-parallel-computing-for-pattern-recognition-and-artificial-intelligence

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VLSI & Parallel Computing for Pattern Recognition & Artificial Intelligence

Author : N. Ranganathan
Publisher : World Scientific
ISBN 13 : 9789810223120
Total Pages : 304 pages
Book Rating : 4.2/5 (231 download)

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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.

VLSI and Parallel Computing for Pattern Recognition and Artificial Intelligence

Author : N Ranganathan
Publisher : World Scientific
ISBN 13 : 9814500232
Total Pages : 296 pages
Book Rating : 4.8/5 (145 download)

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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:

VLSI & Parallel Computing for Pattern Recognition & Artificial Intelligence

Author : N. Ranganathan
Publisher :
ISBN 13 :
Total Pages : 290 pages
Book Rating : 4.:/5 (841 download)

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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:

VLSI for Pattern Recognition and Image Processing

Author : K.S. Fu
Publisher : Springer Science & Business Media
ISBN 13 : 364247523X
Total Pages : 239 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis VLSI for Pattern Recognition and Image Processing by : K.S. Fu

Download or read book VLSI for Pattern Recognition and Image Processing written by K.S. Fu and published by Springer Science & Business Media. This book was released on 2013-03-08 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the past two decades there has been a considerable growth in interest in problems of pattern recognition and image processing (PRIP). This inter est has created an increasing need for methods and techniques for the design of PRIP systems. PRIP involves analysis, classification and interpretation of data. Practical applications of PRIP include character recognition, re mote sensing, analysis of medical signals and images, fingerprint and face identification, target recognition and speech understanding. One difficulty in making PRIP systems practically feasible, and hence, more popularly used, is the requirement of computer time and storage. This situation is particularly serious when the patterns to be analyzed are quite complex. Thus it is of the utmost importance to investigate special comput er architectures and their implementations for PRIP. Since the advent of VLSI technology, it is possible to put thousands of components on one chip. This reduces the cost of processors and increases the processing speed. VLSI algorithms and their implementations have been recently developed for PRIP. This book is intended to document the recent major progress in VLSI system design for PRIP applications.

Parallel Processing for Artificial Intelligence

Author : Laveen N. Kanal
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (637 download)

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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:

Pattern Recognition: Architectures, Algorithms and Applications

Author :
Publisher :
ISBN 13 : 9814506303
Total Pages : pages
Book Rating : 4.8/5 (145 download)

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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:

Pattern Recognition

Author : Rjean Plamondon
Publisher : World Scientific
ISBN 13 : 9789810206048
Total Pages : 404 pages
Book Rating : 4.2/5 (6 download)

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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.

Parallel Processing and Applied Mathematics, Part I

Author : Roman Wyrzykowski
Publisher : Springer
ISBN 13 : 3642143903
Total Pages : 628 pages
Book Rating : 4.6/5 (421 download)

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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.

Parallel Processing and Applied Mathematics

Author : Roman Wyrzykowski
Publisher : Springer
ISBN 13 : 3642552242
Total Pages : 809 pages
Book Rating : 4.6/5 (425 download)

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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.

Parallel Processing for Artificial Intelligence 1

Author : L.N. Kanal
Publisher : Elsevier
ISBN 13 : 1483295745
Total Pages : 443 pages
Book Rating : 4.4/5 (832 download)

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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.

Parallel Processing for Artificial Intelligence 2

Author : V. Kumar
Publisher : North Holland
ISBN 13 : 9780444818379
Total Pages : 0 pages
Book Rating : 4.8/5 (183 download)

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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!

Parallel VLSI Neural System Design

Author : David Zhang
Publisher : Springer
ISBN 13 :
Total Pages : 284 pages
Book Rating : 4.3/5 (91 download)

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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.

Hardware Annealing in Analog VLSI Neurocomputing

Author : Bank W. Lee
Publisher : Springer Science & Business Media
ISBN 13 : 1461539846
Total Pages : 251 pages
Book Rating : 4.4/5 (615 download)

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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.

Proceedings of the International Conference on Cognitive and Intelligent Computing

Author : Amit Kumar
Publisher : Springer Nature
ISBN 13 : 9811923507
Total Pages : 899 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Proceedings of the International Conference on Cognitive and Intelligent Computing by : Amit Kumar

Download or read book Proceedings of the International Conference on Cognitive and Intelligent Computing written by Amit Kumar and published by Springer Nature. This book was released on 2022-10-31 with total page 899 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents original, peer-reviewed select articles from the International Conference on Cognitive & Intelligent Computing (ICCIC – 2021), held on December 11–12, 2021, at Hyderabad, India. The proceedings has cutting edge Research outcome related to Machine learning in control applications, Soft computing, Pattern Recognition, Decision Support Systems, Text analytics and NLP, Statistical Learning, Neural Network Learning, Learning Through Fuzzy Logic, Learning Through Evolution (Evolutionary Algorithms), Reinforcement Learning, Multi-Strategy Learning, Cooperative Learning, Planning And Learning, Multi-Agent Learning, Online And Incremental Learning, Scalability Of Learning Algorithms, Inductive Learning, Inductive Logic Programming, Bayesian Networks, Support Vector Machines, Case-Based Reasoning, Multi-Agent Systems, Human–Computer Interaction, Data Mining and Knowledge Discovery, Knowledge Management and Networks, Data Intensive Computing Architecture, Medicine, Health, Bioinformatics, and Systems Biology, Industrial and Engineering Applications, Security Applications, Smart Cities, Game Playing and Problem Solving, Intelligent Virtual Environments, Economics, Business, And Forecasting Applications. Articles in the book are carefully selected on the basis of their application orientation. The content is expected to be especially useful for Professionals, Researchers, Research students working in the area of cognitive and intelligent computing.

Parallel Processing and Artificial Intelligence

Author : Mike Reeve
Publisher :
ISBN 13 :
Total Pages : 346 pages
Book Rating : 4.:/5 (42 download)

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Book Synopsis Parallel Processing and Artificial Intelligence by : Mike Reeve

Download or read book Parallel Processing and Artificial Intelligence written by Mike Reeve and published by . This book was released on 1989-09-28 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprises papers based on an international conference held at Imperial College, London, July 1989. Topics covered include neural networks, robotics, image understanding, parallel implementations of logic languages, and parallel implementation of Lisp. Many of the papers here detail use of the INMOS transputer, and the Communicating Process Architecture on which INMOS was founded. But the theme is application of parallelism in a general way, especially in artificial intelligence.

Thinning Methodologies for Pattern Recognition

Author : Ching Y. Suen
Publisher : World Scientific
ISBN 13 : 9789810214821
Total Pages : 354 pages
Book Rating : 4.2/5 (148 download)

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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.

Field-Programmable Logic and Applications

Author : Peter Y.K. Cheung
Publisher : Springer Science & Business Media
ISBN 13 : 3540408223
Total Pages : 1204 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Field-Programmable Logic and Applications by : Peter Y.K. Cheung

Download or read book Field-Programmable Logic and Applications written by Peter Y.K. Cheung and published by Springer Science & Business Media. This book was released on 2003-08-27 with total page 1204 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th International Conference on Field-Programmable Logic and Applications, FPL 2003, held in Lisbon, Portugal in September 2003. The 90 revised full papers and 56 revised poster papers presented were carefully reviewed and selected from 216 submissions. The papers are organized in topical sections on technologies and trends, communications applications, high level design tools, reconfigurable architecture, cryptographic applications, multi-context FPGAs, low-power issues, run-time reconfiguration, compilation tools, asynchronous techniques, bio-related applications, codesign, reconfigurable fabrics, image processing applications, SAT techniques, application-specific architectures, DSP applications, dynamic reconfiguration, SoC architectures, emulation, cache design, arithmetic, bio-inspired design, SoC design, cellular applications, fault analysis, and network applications.