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Advances in Soft Computing and Machine Learning in Image Processing, Aboul Ella Hassanien; Diego Alberto Oliva


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Автор: Aboul Ella Hassanien; Diego Alberto Oliva
Название:  Advances in Soft Computing and Machine Learning in Image Processing
ISBN: 9783319876276
Издательство: Springer
Классификация:


ISBN-10: 3319876279
Обложка/Формат: Soft cover
Страницы: 718
Вес: 1.10 кг.
Дата издания: 2018
Серия: Studies in Computational Intelligence
Язык: English
Издание: Softcover reprint of
Иллюстрации: 100 tables, color; 195 illustrations, color; 114 illustrations, black and white; xii, 718 p. 309 illus., 195 illus. in color.
Размер: Book (Paperback Initiative)
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: 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.
Дополнительное описание: Color Spaces Advantages and Disadvantages in Image Color Clustering Segmentation.- Multi-objective Whale Optimization Algorithm for Multi-level Thresholding Segmentation.- Evaluating Swarm Optimization Algorithms for Segmentation of Liver Images.- Thermal



Latest Advances in Inductive Logic Programming

Автор: Muggleton Stephen, Watanabe Hiroaki
Название: Latest Advances in Inductive Logic Programming
ISBN: 1783265086 ISBN-13(EAN): 9781783265084
Издательство: World Scientific Publishing
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Цена: 12830.00 р.
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Описание: This book represents a selection of papers presented at the Inductive Logic Programming (ILP) workshop held at Cumberland Lodge, Great Windsor Park.

Advances in Soft Computing and Machine Learning in Image Processing

Автор: Aboul Ella Hassanien; Diego Alberto Oliva
Название: Advances in Soft Computing and Machine Learning in Image Processing
ISBN: 3319637533 ISBN-13(EAN): 9783319637532
Издательство: Springer
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Цена: 32142.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: 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.

Soft computing for image and multimedia data processing

Автор: Bhattacharyya, Siddhartha Maulik, Ujjwal
Название: Soft computing for image and multimedia data processing
ISBN: 3642402542 ISBN-13(EAN): 9783642402548
Издательство: Springer
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Цена: 10480.00 р.
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Описание: Soft Computing for Image and Multimedia Data Processing

Soft Computing for Image and Multimedia Data Processing

Автор: Siddhartha Bhattacharyya; Ujjwal Maulik
Название: Soft Computing for Image and Multimedia Data Processing
ISBN: 3662513595 ISBN-13(EAN): 9783662513590
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This full-spectrum graduate textbook starts with a tutorial on brain learning and the key soft computing techniques. It focuses on object extraction, image segmentation and edge detection, with extensive real-life applications in multimedia data processing.

New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing

Автор: Leszek Rutkowski
Название: New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing
ISBN: 3642058205 ISBN-13(EAN): 9783642058202
Издательство: Springer
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Цена: 27251.00 р.
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Описание: The present vol- ume, based mostly on his own work, is a milestone in the devel- opment of soft computing, integrating various disciplines from the fields of information science and engineering.

Soft Computing for Image Processing

Автор: Sankar K. Pal; Ashish Ghosh; Malay K. Kundu
Название: Soft Computing for Image Processing
ISBN: 3790824682 ISBN-13(EAN): 9783790824681
Издательство: Springer
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Цена: 27251.00 р.
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Описание: It was pointed out nearly 30 years ago by Prewitt (1] that the decisions involved in image segmentation could be postponed by regarding the image parts as fuzzy, rather than crisp, subsets of the image.

Advances in Machine Learning and Signal Processing

Автор: Soh
Название: Advances in Machine Learning and Signal Processing
ISBN: 3319322125 ISBN-13(EAN): 9783319322124
Издательство: Springer
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Цена: 28734.00 р.
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Описание: Thisbook presents important research findings and recent innovations in the fieldof machine learning and signal processing. A wide range of topics relating to machinelearning and signal processing techniques and their applications are addressed inorder to provide both researchers and practitioners with a valuable resourcedocumenting the latest advances and trends. The book comprises a carefulselection of the papers submitted to the 2015 International Conference on MachineLearning and Signal Processing (MALSIP 2015), which was held on 15–17 December2015 in Ho Chi Minh City, Vietnam with the aim of offering researchers,academicians, and practitioners an ideal opportunity to disseminate theirfindings and achievements. All of the included contributions were chosen byexpert peer reviewers from across the world on the basis of their interest tothe community. In addition to presenting the latest in design, development, andresearch, the book provides access to numerous new algorithms for machinelearning and signal processing for engineering problems.

Biologically Rationalized Computing Techniques For Image Processing Applications

Автор: Jude Hemanth; Valentina Emilia Balas
Название: Biologically Rationalized Computing Techniques For Image Processing Applications
ISBN: 3319613154 ISBN-13(EAN): 9783319613154
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book introduces readers to innovative bio-inspired computing techniques for image processing applications. It demonstrates how a significant drawback of image processing - not providing the simultaneous benefits of high accuracy and less complexity - can be overcome, proposing bio-inspired methodologies to help do so.

Computing Colour Image Processing

Автор: Parkin
Название: Computing Colour Image Processing
ISBN: 331974075X ISBN-13(EAN): 9783319740751
Издательство: Springer
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Цена: 6986.00 р.
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Описание: Downloadable Python program code in the e-book

Deep Learning and Convolutional Neural Networks for Medical Image Computing

Автор: Le Lu; Yefeng Zheng; Gustavo Carneiro; Lin Yang
Название: Deep Learning and Convolutional Neural Networks for Medical Image Computing
ISBN: 3319827138 ISBN-13(EAN): 9783319827131
Издательство: Springer
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Цена: 22359.00 р.
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Описание: This book presents a detailed review of the state of the art in deep learning approaches for semantic object detection and segmentation in medical image computing, and large-scale radiology database mining. introduces a novel approach to interleaved text and image deep mining on a large-scale radiology image database.

Biologically Rationalized Computing Techniques For Image Processing Applications

Автор: Jude Hemanth; Valentina Emilia Balas
Название: Biologically Rationalized Computing Techniques For Image Processing Applications
ISBN: 3319870505 ISBN-13(EAN): 9783319870502
Издательство: Springer
Рейтинг:
Цена: 13974.00 р.
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Описание:

This book introduces readers to innovative bio-inspired computing techniques for image processing applications. It demonstrates how a significant drawback of image processing – not providing the simultaneous benefits of high accuracy and less complexity – can be overcome, proposing bio-inspired methodologies to help do so. 

Besides computing techniques, the book also sheds light on the various application areas related to image processing, and weighs the pros and cons of specific methodologies. Even though several such methodologies are available, most of them do not provide the simultaneous benefits of high accuracy and less complexity, which explains their low usage in connection with practical imaging applications, such as the medical scenario. Lastly, the book illustrates the methodologies in detail, making it suitable for newcomers to the field and advanced researchers alike.

Advances and Applications of Optimised Algorithms in Image Processing

Автор: Diego Oliva; Erik Cuevas
Название: Advances and Applications of Optimised Algorithms in Image Processing
ISBN: 3319485490 ISBN-13(EAN): 9783319485492
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book presents a study of the use of optimization algorithms in complex image processing problems. The problems selected explore areas ranging from the theory of image segmentation to the detection of complex objects in medical images. Furthermore, the concepts of machine learning and optimization are analyzed to provide an overview of the application of these tools in image processing. The material has been compiled from a teaching perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics, and can be used for courses on Artificial Intelligence, Advanced Image Processing, Computational Intelligence, etc. Likewise, the material can be useful for research from the evolutionary computation, artificial intelligence and image processing communities.


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