Vlsi And Parallel Computing For Pattern Recognition And Artificial Intelligence


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VLSI & Parallel Computing for Pattern Recognition & Artificial Intelligence


VLSI & Parallel Computing for Pattern Recognition & Artificial Intelligence

Author: N. Ranganathan

language: en

Publisher: World Scientific

Release Date: 1995


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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 & Parallel Computing for Pattern Recognition & Artificial Intelligence


VLSI & Parallel Computing for Pattern Recognition & Artificial Intelligence

Author: N. Ranganathan

language: en

Publisher:

Release Date: 1995


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Proceedings of the International Conference on Cognitive and Intelligent Computing


Proceedings of the International Conference on Cognitive and Intelligent Computing

Author: Amit Kumar

language: en

Publisher: Springer Nature

Release Date: 2022-10-31


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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.