Applied Computer Vision And Soft Computing With Interpretable Ai
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Applied Computer Vision and Soft Computing with Interpretable AI
Author | : Swati V. Shinde,Darshan V. Medhane,Oscar Castillo |
Publsiher | : CRC Press |
Total Pages | : 333 |
Release | : 2023-10-05 |
Genre | : Computers |
ISBN | : 9781000952490 |
Download Applied Computer Vision and Soft Computing with Interpretable AI Book in PDF, Epub and Kindle
This reference text presents the knowledge base of computer vision and soft computing techniques with their applications for sustainable developments. Features: Covers a variety of deep learning architectures useful for computer vision tasks Demonstrates the use of different soft computing techniques and their applications for different computer vision tasks Highlights the unified strengths of hybrid techniques based on deep learning and soft computing taken together that give the interpretable, adaptive, and optimized solution to a given problem Addresses the different issues and further research opportunities in computer vision and soft computing Describes all the concepts with practical examples and case studies with appropriate performance measures that validate the applicability of the respective technique to a certain domain Considers recent real word problems and the prospective solutions to these problems This book will be useful to researchers, students, faculty, and industry personnel who are eager to explore the power of deep learning and soft computing for different computer vision tasks.
Applied Computer Vision and Soft Computing with Interpretable AI
Author | : Swati V. Shinde,Darshan V. Medhane,Oscar Castillo |
Publsiher | : CRC Press |
Total Pages | : 442 |
Release | : 2023-10-12 |
Genre | : Computers |
ISBN | : 9781000952551 |
Download Applied Computer Vision and Soft Computing with Interpretable AI Book in PDF, Epub and Kindle
This reference text presents the knowledge base of computer vision and soft computing techniques with their applications for sustainable developments. Features: ∙ Covers a variety of deep learning architectures useful for computer vision tasks. ∙ Demonstrates the use of different soft computing techniques and their applications for different computer vision tasks. ∙ Highlights the unified strengths of hybrid techniques based on deep learning and soft computing taken together that give the interpretable, adaptive, and optimized solution to a given problem. ∙ Addresses the different issues and further research opportunities in computer vision and soft computing. ∙ Describes all the concepts with practical examples and case studies with appropriate performance measures that validate the applicability of the respective technique to a certain domain. ∙ Considers recent real word problems and the prospective solutions to these problems. This book will be useful to researchers, students, faculty, and industry personnel who are eager to explore the power of deep learning and soft computing for different computer vision tasks.
Computer Recognition Systems 4
Author | : Robert Burduk,Marek Kurzynski,Michal Wozniak,Andrzej Zolnierek |
Publsiher | : Springer Science & Business Media |
Total Pages | : 761 |
Release | : 2011-04-21 |
Genre | : Technology & Engineering |
ISBN | : 9783642203206 |
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The computer recognition systems are nowadays one of the most promising directions in artificial intelligence. This book is the most comprehensive study of this field. It contains a collection of 78 carefully selected articles contributed by experts of pattern recognition. It reports on current research with respect to both methodology and applications. In particular, it includes the following sections: Biometrics, Features, learning and classifiers, Image processing and computer vision, Knowledge acquisition based on reasoning methods Medical applications, Miscellaneous applications, This book is a great reference tool for scientists who deal with the problems of designing computer pattern recognition systems. Its target readers can be as well researchers as students of computer science, artificial intelligence or robotics.
Computer Recognition Systems 3
Author | : Marek Kurzynski,Michal Wozniak |
Publsiher | : Springer Science & Business Media |
Total Pages | : 602 |
Release | : 2009-05-12 |
Genre | : Technology & Engineering |
ISBN | : 9783540939054 |
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This book presents latest results in computer recognition systems, pattern recognition, machine learning, web and data mining. It includes coverage of image processing and computer vision; speech and word recognition; and medical applications.
Low Power Computer Vision
Author | : George K. Thiruvathukal,Yung-Hsiang Lu,Jaeyoun Kim,Yiran Chen,Bo Chen |
Publsiher | : CRC Press |
Total Pages | : 395 |
Release | : 2022-02-22 |
Genre | : Computers |
ISBN | : 9781000540963 |
Download Low Power Computer Vision Book in PDF, Epub and Kindle
Energy efficiency is critical for running computer vision on battery-powered systems, such as mobile phones or UAVs (unmanned aerial vehicles, or drones). This book collects the methods that have won the annual IEEE Low-Power Computer Vision Challenges since 2015. The winners share their solutions and provide insight on how to improve the efficiency of machine learning systems.
Advances in Soft Computing and Machine Learning in Image Processing
Author | : Aboul Ella Hassanien,Diego Alberto Oliva |
Publsiher | : Springer |
Total Pages | : 718 |
Release | : 2017-10-13 |
Genre | : Technology & Engineering |
ISBN | : 9783319637549 |
Download Advances in Soft Computing and Machine Learning in Image Processing Book in PDF, Epub and Kindle
This book is a collection of the latest applications of methods from soft computing and machine learning in image processing. It explores different areas ranging from image segmentation to the object recognition using complex approaches, and includes the theory of the methodologies used to provide an overview of the application of these tools in image processing. The material has been compiled from a scientific perspective, and the book is primarily intended for undergraduate and postgraduate science, engineering, and computational mathematics students. It can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence, and is a valuable resource for researchers in the evolutionary computation, artificial intelligence and image processing communities.
Granular Video Computing With Rough Sets Deep Learning And In Iot
Author | : Debarati Bhunia Chakraborty,Sankar Kumar Pal |
Publsiher | : World Scientific |
Total Pages | : 256 |
Release | : 2021-02-04 |
Genre | : Computers |
ISBN | : 9789811227134 |
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This volume links the concept of granular computing using deep learning and the Internet of Things to object tracking for video analysis. It describes how uncertainties, involved in the task of video processing, could be handled in rough set theoretic granular computing frameworks. Issues such as object tracking from videos in constrained situations, occlusion/overlapping handling, measuring of the reliability of tracking methods, object recognition and linguistic interpretation in video scenes, and event prediction from videos, are the addressed in this volume. The book also looks at ways to reduce data dependency in the context of unsupervised (without manual interaction/ labeled data/ prior information) training.This book may be used both as a textbook and reference book for graduate students and researchers in computer science, electrical engineering, system science, data science, and information technology, and is recommended for both students and practitioners working in computer vision, machine learning, video analytics, image analytics, artificial intelligence, system design, rough set theory, granular computing, and soft computing.
Computer Vision and Recognition Systems Using Machine and Deep Learning Approaches
Author | : Chiranji Lal Chowdhary,Mamoun Alazab,Ankit Chaudhary,Saqib Hakak,Thippa Reddy Gadekallu |
Publsiher | : Computing and Networks |
Total Pages | : 504 |
Release | : 2021-11 |
Genre | : Computers |
ISBN | : 1839533234 |
Download Computer Vision and Recognition Systems Using Machine and Deep Learning Approaches Book in PDF, Epub and Kindle
Written by a team of International experts, this edited book covers state-of-the-art research in the fields of computer vision and recognition systems from fundamental concepts to methodologies and technologies and real-world applications. The book will be useful for industry and academic researchers, scientists and engineers.