10th International Conference On Pattern Recognition Conference C Image Speech And Signal Processing And Conference D Computer Architecture For Vision In Pattern Recognition
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Pattern Recognition
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Author :
language : en
Publisher:
Release Date : 1990
Pattern Recognition written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Computer architecture categories.
10th International Conference On Pattern Recognition Conference C Image Speech And Signal Processing And Conference D Computer Architecture For Vision In Pattern Recognition
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 1990
10th International Conference On Pattern Recognition Conference C Image Speech And Signal Processing And Conference D Computer Architecture For Vision In Pattern Recognition written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Pattern recognition systems categories.
Bio Inspired Computation And Its Applications
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Author : Tinggui Chen
language : en
Publisher: Frontiers Media SA
Release Date : 2023-07-06
Bio Inspired Computation And Its Applications written by Tinggui Chen and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-06 with Science categories.
Document Analysis And Recognition Icdar 2023
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Author : Gernot A. Fink
language : en
Publisher: Springer Nature
Release Date : 2023-08-18
Document Analysis And Recognition Icdar 2023 written by Gernot A. Fink and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-18 with Computers categories.
This six-volume set of LNCS 14187, 14188, 14189, 14190, 14191 and 14192 constitutes the refereed proceedings of the 17th International Conference on Document Analysis and Recognition, ICDAR 2021, held in San José, CA, USA, in August 2023. The 53 full papers were carefully reviewed and selected from 316 submissions, and are presented with 101 poster presentations. The papers are organized into the following topical sections: Graphics Recognition, Frontiers in Handwriting Recognition, Document Analysis and Recognition.
11th Iapa International Conference On Pattern Recognition
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Author :
language : en
Publisher:
Release Date : 1992
11th Iapa International Conference On Pattern Recognition written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Pattern perception categories.
Design For Embedded Image Processing On Fpgas
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Author : Donald G. Bailey
language : en
Publisher: John Wiley & Sons
Release Date : 2011-06-13
Design For Embedded Image Processing On Fpgas written by Donald G. Bailey and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-13 with Technology & Engineering categories.
Dr Donald Bailey starts with introductory material considering the problem of embedded image processing, and how some of the issues may be solved using parallel hardware solutions. Field programmable gate arrays (FPGAs) are introduced as a technology that provides flexible, fine-grained hardware that can readily exploit parallelism within many image processing algorithms. A brief review of FPGA programming languages provides the link between a software mindset normally associated with image processing algorithms, and the hardware mindset required for efficient utilization of a parallel hardware design. The design process for implementing an image processing algorithm on an FPGA is compared with that for a conventional software implementation, with the key differences highlighted. Particular attention is given to the techniques for mapping an algorithm onto an FPGA implementation, considering timing, memory bandwidth and resource constraints, and efficient hardware computational techniques. Extensive coverage is given of a range of low and intermediate level image processing operations, discussing efficient implementations and how these may vary according to the application. The techniques are illustrated with several example applications or case studies from projects or applications he has been involved with. Issues such as interfacing between the FPGA and peripheral devices are covered briefly, as is designing the system in such a way that it can be more readily debugged and tuned. Provides a bridge between algorithms and hardware Demonstrates how to avoid many of the potential pitfalls Offers practical recommendations and solutions Illustrates several real-world applications and case studies Allows those with software backgrounds to understand efficient hardware implementation Design for Embedded Image Processing on FPGAs is ideal for researchers and engineers in the vision or image processing industry, who are looking at smart sensors, machine vision, and robotic vision, as well as FPGA developers and application engineers. The book can also be used by graduate students studying imaging systems, computer engineering, digital design, circuit design, or computer science. It can also be used as supplementary text for courses in advanced digital design, algorithm and hardware implementation, and digital signal processing and applications. Companion website for the book: www.wiley.com/go/bailey/fpga
Advanced Concepts For Intelligent Vision Systems
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Author : Jacques Blanc-Talon
language : en
Publisher: Springer
Release Date : 2018-09-24
Advanced Concepts For Intelligent Vision Systems written by Jacques Blanc-Talon and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-24 with Computers categories.
This book constitutes the refereed proceedings of the 19th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2018, held in Poitiers, France, in September 2018. The 52 full papers presented in this volume were carefully reviewed and selected from 91 submissions. They were organized in topical sections named: video analysis; segmentation and classification; remote sending; biometrics; deep learning; coding and compression; and image restauration and reconstruction.
Pattern Recognition Technologies And Applications Recent Advances
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Author : Verma, Brijesh
language : en
Publisher: IGI Global
Release Date : 2008-06-30
Pattern Recognition Technologies And Applications Recent Advances written by Verma, Brijesh and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-06-30 with Computers categories.
The nature of handwriting in our society has significantly altered over the ages due to the introduction of new technologies such as computers and the World Wide Web. With increases in the amount of signature verification needs, state of the art internet and paper-based automated recognition methods are necessary. Pattern Recognition Technologies and Applications: Recent Advances provides cutting-edge pattern recognition techniques and applications. Written by world-renowned experts in their field, this easy to understand book is a must have for those seeking explanation in topics such as on- and offline handwriting and speech recognition, signature verification, and gender classification.
Intelligent Systems
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Author : Chiranji Lal Chowdhary
language : en
Publisher: CRC Press
Release Date : 2020-01-06
Intelligent Systems written by Chiranji Lal Chowdhary and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-06 with Business & Economics categories.
This volume helps to fill the gap between data analytics, image processing, and soft computing practices. Soft computing methods are used to focus on data analytics and image processing to develop good intelligent systems. To this end, readers of this volume will find quality research that presents the current trends, advanced methods, and hybridized techniques relating to data analytics and intelligent systems. The book also features case studies related to medical diagnosis with the use of image processing and soft computing algorithms in particular models. Providing extensive coverage of biometric systems, soft computing, image processing, artificial intelligence, and data analytics, the chapter authors discuss the latest research issues, present solutions to research problems, and look at comparative analysis with earlier results. Topics include some of the most important challenges and discoveries in intelligent systems today, such as computer vision concepts and image identification, data analysis and computational paradigms, deep learning techniques, face and speaker recognition systems, and more.
Machine Learning Models And Architectures For Biomedical Signal Processing
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Author : Suman Lata Tripathi
language : en
Publisher: Elsevier
Release Date : 2024-11-05
Machine Learning Models And Architectures For Biomedical Signal Processing written by Suman Lata Tripathi and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-05 with Computers categories.
Machine Learning Models and Architectures for Biomedical Signal Processing presents the fundamental concepts of machine learning techniques for bioinformatics in an interactive way. The book investigates how efficient machine and deep learning models can support high-speed processors with reconfigurable architectures like graphic processing units (GPUs), Field programmable gate arrays (FPGAs), or any hybrid system. This great resource will be of interest to researchers working to increase the efficiency of hardware and architecture design for biomedical signal processing and signal processing techniques. - Covers the hardware architecture implementation of machine learning algorithms - Discusses the software implementation approach and the efficient hardware of machine learning application with FPGA - Presents the major design challenges and research potential in machine learning techniques