Intelligent Systems And Pattern Recognition

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Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing

Author : Patricia Melin,Oscar Castillo
Publisher : Springer Science & Business Media
Page : 296 pages
File Size : 55,6 Mb
Release : 2005-03-08
Category : Computers
ISBN : 3540241213

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Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing by Patricia Melin,Oscar Castillo Pdf

This monograph describes new methods for intelligent pattern recognition using soft computing techniques including neural networks, fuzzy logic, and genetic algorithms. Hybrid intelligent systems that combine several soft computing techniques are needed due to the complexity of pattern recognition problems. Hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of pattern recognition systems, to achieve the ultimate goal of pattern recognition. This book also shows results of the application of hybrid intelligent systems to real-world problems of face, fingerprint, and voice recognition. This monograph is intended to be a major reference for scientists and engineers applying new computational and mathematical tools to intelligent pattern recognition and can be also used as a textbook for graduate courses in soft computing, intelligent pattern recognition, computer vision, or applied artificial intelligence.

Intelligent Systems and Pattern Recognition

Author : Akram Bennour,Ahmed Bouridane,Lotfi Chaari
Publisher : Springer Nature
Page : 333 pages
File Size : 53,6 Mb
Release : 2023-12-06
Category : Computers
ISBN : 9783031463389

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Intelligent Systems and Pattern Recognition by Akram Bennour,Ahmed Bouridane,Lotfi Chaari Pdf

This volume constitutes selected papers presented during the Third International Conference on Intelligent Systems and Pattern Recognition, ISPR 2023, held in Hammamet, Tunisia, in May 2023. The 44 full papers presented were thoroughly reviewed and selected from the 129 submissions. The papers are organized in the following topical sections: computer vision; data mining; pattern recognition; machine and deep learning.

Intelligent Systems and Pattern Recognition

Author : Akram Bennour,Ahmed Bouridane,Lotfi Chaari
Publisher : Springer Nature
Page : 302 pages
File Size : 53,8 Mb
Release : 2023-12-06
Category : Computers
ISBN : 9783031463358

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Intelligent Systems and Pattern Recognition by Akram Bennour,Ahmed Bouridane,Lotfi Chaari Pdf

This volume constitutes selected papers presented during the Third International Conference on Intelligent Systems and Pattern Recognition, ISPR 2023, held in Hammamet, Tunisia, in May 2023. The 44 full papers presented were thoroughly reviewed and selected from the 129 submissions. The papers are organized in the following topical sections: computer vision; data mining; pattern recognition; machine and deep learning.

Computational Intelligence in Pattern Recognition

Author : Asit Kumar Das,Janmenjoy Nayak,Bighnaraj Naik,Soumi Dutta,Danilo Pelusi
Publisher : Springer Nature
Page : 756 pages
File Size : 46,5 Mb
Release : 2021-09-04
Category : Technology & Engineering
ISBN : 9789811625435

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Computational Intelligence in Pattern Recognition by Asit Kumar Das,Janmenjoy Nayak,Bighnaraj Naik,Soumi Dutta,Danilo Pelusi Pdf

This book features high-quality research papers presented at the 3rd International Conference on Computational Intelligence in Pattern Recognition (CIPR 2021), held at the Institute of Engineering and Management, Kolkata, West Bengal, India, on 24 – 25 April 2021. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.

Frontiersinpatternrecognitionandartificialintelligence

Author : Blom Marleah,Nobile Nicola,Suen Ching Yee
Publisher : World Scientific
Page : 300 pages
File Size : 49,7 Mb
Release : 2019-06-17
Category : Computers
ISBN : 9789811203534

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Frontiersinpatternrecognitionandartificialintelligence by Blom Marleah,Nobile Nicola,Suen Ching Yee Pdf

The fifth volume in this book series consists of a collection of new papers written by a diverse group of international scholars. Papers and presentations were carefully selected from 160 papers submitted to the International Conference on Pattern Recognition and Artificial Intelligence held in Montreal, Quebec (May 2018) and an associated free public lecture entitled 'Artificial Intelligence and Pattern Recognition: Trendy Technologies in Our Modern Digital World'. Chapters address topics such as the evolution of AI, natural language processing, off and on-line handwriting analysis, tracking and detection systems, neural networks, rating video games, computer-aided diagnosis, and digital learning.Within an increasingly digital world, 'artificial intelligence' is becoming a household term and a topic of great interest to many people worldwide. Pattern recognition, in using key features to classify data, has a strong relationship with artificial intelligence. This book not only complements other monographs in the series, it also provides the latest information. It is geared to promote interest and understanding about pattern recognition and artificial intelligence to the general public. It may also be of interest to graduate students and researchers in the field. Rather than focusing on one specific area, the book introduces readers to various basic concepts and to various potential areas where pattern recognition and artificial intelligence can be applied to make valuable contributions to other fields such as medicine, teaching and learning, forensic science, surveillance, online reviews, computer vision and object tracking.

Advances In Pattern Recognition And Artificial Intelligence

Author : Marleah Blom,Nicola Nobile,Ching Yee Suen
Publisher : World Scientific
Page : 277 pages
File Size : 52,7 Mb
Release : 2021-11-16
Category : Computers
ISBN : 9789811239021

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Advances In Pattern Recognition And Artificial Intelligence by Marleah Blom,Nicola Nobile,Ching Yee Suen Pdf

This book includes reviewed papers by international scholars from the 2020 International Conference on Pattern Recognition and Artificial Intelligence (held online). The papers have been expanded to provide more details specifically for the book. It is geared to promote ongoing interest and understanding about pattern recognition and artificial intelligence. Like the previous book in the series, this book covers a range of topics and illustrates potential areas where pattern recognition and artificial intelligence can be applied. It highlights, for example, how pattern recognition and artificial intelligence can be used to classify, predict, detect and help promote further discoveries related to credit scores, criminal news, national elections, license plates, gender, personality characteristics, health, and more.Chapters include works centred on medical and financial applications as well as topics related to handwriting analysis and text processing, internet security, image analysis, database creation, neural networks and deep learning. While the book is geared to promote interest from the general public, it may also be of interest to graduate students and researchers in the field.

Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition

Author : Patricia Melin,Witold Pedrycz
Publisher : Springer
Page : 263 pages
File Size : 46,9 Mb
Release : 2009-11-19
Category : Computers
ISBN : 9783642045165

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Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition by Patricia Melin,Witold Pedrycz Pdf

Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition comprises papers on diverse aspects of bio-inspired models, soft computing and hybrid intelligent systems. The articles are divided into four main parts. The first one consists of papers that propose new fuzzy and bio-inspired models to solve general problems. The second part deals with the main theme of modular neural networks in pattern recognition, which are basically papers using bio-inspired techniques. The third part contains papers that apply hybrid intelligent systems to the problem of time series analysis and prediction, while the fourth one shows papers dealing with bio-inspired models in optimization and robotics applications. An edited book in which both theoretical and application aspects are covered.

Advances in Pattern Recognition and Artificial Intelligence

Author : Marleah Blom,Nicola Nobile,Ching Yee Suen
Publisher : Language Processing, Pattern R
Page : 240 pages
File Size : 50,6 Mb
Release : 2021-12-17
Category : Computers
ISBN : 9811239002

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Advances in Pattern Recognition and Artificial Intelligence by Marleah Blom,Nicola Nobile,Ching Yee Suen Pdf

This book includes reviewed papers by international scholars from the 2020 International Conference on Pattern Recognition and Artificial Intelligence (held online). The papers have been expanded to provide more details specifically for the book. It is geared to promote ongoing interest and understanding about pattern recognition and artificial intelligence. Like the previous book in the series, this book covers a range of topics and illustrates potential areas where pattern recognition and artificial intelligence can be applied. It highlights, for example, how pattern recognition and artificial intelligence can be used to classify, predict, detect and help promote further discoveries related to credit scores, criminal news, national elections, license plates, gender, personality characteristics, health, and more. Chapters include works that centred on medical and financial applications as well as topics related to handwriting analysis and text processing, internet security, image analysis, database creation, neural networks and deep learning. While the book is geared to promote interest from the general public, it may also be of interest to graduate students and researchers in the field.

Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies

Author : Mago, Vijay Kumar
Publisher : IGI Global
Page : 785 pages
File Size : 51,7 Mb
Release : 2011-12-31
Category : Computers
ISBN : 9781613504307

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Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies by Mago, Vijay Kumar Pdf

The need for intelligent machines in areas such as medical diagnostics, biometric security systems, and image processing motivates researchers to develop and explore new techniques, algorithms, and applications in this evolving field.Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies provides a common platform for researchers to present theoretical and applied research findings for enhancing and developing intelligent systems. Through its discussions of advances in and applications of pattern recognition technologies and artificial intelligence, this reference highlights core concepts in biometric imagery, feature recognition, and other related fields, along with their applicability.

Computational Intelligence in Pattern Recognition

Author : Asit Kumar Das,Janmenjoy Nayak,Bighnaraj Naik,Soumen Kumar Pati,Danilo Pelusi
Publisher : Springer
Page : 1046 pages
File Size : 47,5 Mb
Release : 2019-08-17
Category : Technology & Engineering
ISBN : 9789811390425

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Computational Intelligence in Pattern Recognition by Asit Kumar Das,Janmenjoy Nayak,Bighnaraj Naik,Soumen Kumar Pati,Danilo Pelusi Pdf

This book presents practical development experiences in different areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.

Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition

Author : Patricia Melin
Publisher : Springer
Page : 214 pages
File Size : 40,9 Mb
Release : 2011-10-25
Category : Technology & Engineering
ISBN : 9783642241390

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Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition by Patricia Melin Pdf

This book describes hybrid intelligent systems using type-2 fuzzy logic and modular neural networks for pattern recognition applications. Hybrid intelligent systems combine several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful pattern recognition systems. Type-2 fuzzy logic is an extension of traditional type-1 fuzzy logic that enables managing higher levels of uncertainty in complex real world problems, which are of particular importance in the area of pattern recognition. The book is organized in three main parts, each containing a group of chapters built around a similar subject. The first part consists of chapters with the main theme of theory and design algorithms, which are basically chapters that propose new models and concepts, which are the basis for achieving intelligent pattern recognition. The second part contains chapters with the main theme of using type-2 fuzzy models and modular neural networks with the aim of designing intelligent systems for complex pattern recognition problems, including iris, ear, face and voice recognition. The third part contains chapters with the theme of evolutionary optimization of type-2 fuzzy systems and modular neural networks in the area of intelligent pattern recognition, which includes the application of genetic algorithms for obtaining optimal type-2 fuzzy integration systems and ideal neural network architectures for solving problems in this area.

Intelligent Systems and Pattern Recognition

Author : Akram Bennour,Tolga Ensari,Yousri Kessentini,Sean Eom
Publisher : Springer
Page : 0 pages
File Size : 44,7 Mb
Release : 2022-06-17
Category : Computers
ISBN : 3031082761

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Intelligent Systems and Pattern Recognition by Akram Bennour,Tolga Ensari,Yousri Kessentini,Sean Eom Pdf

This volume constitutes selected papers presented during the Second International Conference on Intelligent Systems and Pattern Recognition, ISPR 2022, held in Hammamet, Tunisia, in March 2022. Due to the COVID-19 pandemic the conference was held online. The 22 full papers and 10 short papers presented were thoroughly reviewed and selected from the 91 submissions. The papers are organized in the following topical sections: computer vision; data mining; pattern recognition; machine and deep learning.

Applications of Intelligent Systems

Author : N. Petkov,N. Strisciuglio,C.M. Travieso-González
Publisher : IOS Press
Page : 370 pages
File Size : 55,6 Mb
Release : 2018-12-21
Category : Computers
ISBN : 9781614999294

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Applications of Intelligent Systems by N. Petkov,N. Strisciuglio,C.M. Travieso-González Pdf

The deployment of intelligent systems to tackle complex processes is now commonplace in many fields from medicine and agriculture to industry and tourism. This book presents scientific contributions from the 1st International Conference on Applications of Intelligent Systems (APPIS 2018) held at the Museo Elder in Las Palmas de Gran Canaria, Spain, from 10 to 12 January 2018. The aim of APPIS 2018 was to bring together scientists working on the development of intelligent computer systems and methods for machine learning, artificial intelligence, pattern recognition, and related techniques with an emphasis on their application to various problems. The 34 peer-reviewed papers included here cover an extraordinarily wide variety of topics – everything from semi-supervised learning to matching electro-chemical sensor information with human odor perception – but what they all have in common is the design and application of intelligent systems and their role in tackling diverse and complex challenges. The book will be of particular interest to all those involved in the development and application of intelligent systems.

Intelligent Systems

Author : L.S. Sterling
Publisher : Springer Science & Business Media
Page : 227 pages
File Size : 40,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461528364

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Intelligent Systems by L.S. Sterling Pdf

Published in honour of the 70th birthday of Yoh-Han Pao, George S. Dively Dis tinguished Professor of Engineering at Case Western Reserve University, Cleveland, Ohio, this festschrift embraces a remarkably diverse set of topics. Drawing from the fields of pattern recognition, engineering, artificial intelligence and artificial neural systems, it is a fitting testament to the extraordinary breadth of his professional in terests both in foundational research into the new technology of Intelligent Systems and ill the application of that evolving technology to the solution of hard engineering problems. In common with many scientists who build their reputations in one field before devoting their considerable energies and talents to another one, by 1972, the year in which I met him for the first time, Yoh-Han had made significant contributions to laser technology, in particular to the development of the highly accurate and stable lasers required for holographic recording purposes. In conventional holography, the information stored in a hologram produces a virtual image of the object charac terised by it. However, Yoh-Han became fascinated by the possiblity of driving the process hackwards, of using the hologram as an associative memory device enabling previously stored information to be retrieved on the basis of partial cues. It was this burgeoning interest which shaped his career for more than twenty years. Just prior to 1972, my colleagues Professor Christopher Longuet-Higgins and Dr.

Computational Intelligence in Pattern Recognition

Author : Asit Kumar Das,Janmenjoy Nayak,Bighnaraj Naik,Soumi Dutta,Danilo Pelusi
Publisher : Springer Nature
Page : 593 pages
File Size : 51,7 Mb
Release : 2020-02-19
Category : Technology & Engineering
ISBN : 9789811524493

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Computational Intelligence in Pattern Recognition by Asit Kumar Das,Janmenjoy Nayak,Bighnaraj Naik,Soumi Dutta,Danilo Pelusi Pdf

This book features high-quality research papers presented at the 2nd International Conference on Computational Intelligence in Pattern Recognition (CIPR 2020), held at the Institute of Engineering and Management, Kolkata, West Bengal, India, on 4–5 January 2020. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.