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Representations, Analysis and Recognition of Shape and Motion from Imaging Data, Liming Chen; Boulbaba Ben Amor; Faouzi Ghorbel


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Автор: Liming Chen; Boulbaba Ben Amor; Faouzi Ghorbel
Название:  Representations, Analysis and Recognition of Shape and Motion from Imaging Data
ISBN: 9783030198152
Издательство: Springer
Классификация:



ISBN-10: 3030198154
Обложка/Формат: Soft cover
Страницы: 221
Вес: 0.37 кг.
Дата издания: 2019
Серия: Communications in Computer and Information Science
Язык: English
Издание: 1st ed. 2019
Иллюстрации: 74 illustrations, color; 25 illustrations, black and white; xii, 221 p. 99 illus., 74 illus. in color.
Размер: 234 x 156 x 13
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: 7th International Workshop, RFMI 2017, Savoie, France, December 17–20, 2017, Revised Selected Papers
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book constitutes the refereed proceedings of the 7th International Workshop on Representations, Analysis and Recognition of Shape and Motion from Imaging Data, RFMI 2017, held in Savoi, France, in December 2017.
The 8 revised full papers and 9 revised short papers presented were carefully reviewed and selected from 23 submissions. The papers are organized in topical sections on analyzing motion data; deep learning on image and shape data; 2D and 3D pattern classification; watermarking, segmentation and deformations.

Дополнительное описание: On Analyzing Motion Data.- Deep Learning on Image and Shape Data.- 2D and 3D Pattern Classication.- Watermarking, Segmentation and Deformations.



Graph-Based Representations in Pattern Recognition

Автор: Andrea Torsello; Francisco Escolano Ruiz; Luc Brun
Название: Graph-Based Representations in Pattern Recognition
ISBN: 3642021239 ISBN-13(EAN): 9783642021237
Издательство: Springer
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Цена: 10480.00 р.
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Описание: Constitutes the refereed proceedings of the 7th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2009, held in Venice, Italy in May 2009.

Graph Based Representations in Pattern Recognition

Автор: Jean-Michel Jolion; Walter Kropatsch
Название: Graph Based Representations in Pattern Recognition
ISBN: 3211831215 ISBN-13(EAN): 9783211831212
Издательство: Springer
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Цена: 12157.00 р.
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Описание: Graph-based representation of images represents in a compact way the structure of a scene to be analyzed and allows for an easy manipulation of sub-parts or of relationships between parts. This book groups 14 papers in the subject areas of: hypergraphs, recognition, detection, matching, segmentation, implementation problems and representation.

Graph-Based Representations in Pattern Recognition

Автор: Donatello Conte; Jean-Yves Ramel; Pasquale Foggia
Название: Graph-Based Representations in Pattern Recognition
ISBN: 3030200809 ISBN-13(EAN): 9783030200800
Издательство: Springer
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Цена: 8104.00 р.
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Описание: They cover topics such as graph edit distance, graph matching, machine learning for graph problems, network and graph embedding, spectral graph problems, and parallel algorithms for graph problems.

Human Activity Recognition and Behaviour Analysis

Автор: Liming Chen and Chris D. Nugent
Название: Human Activity Recognition and Behaviour Analysis
ISBN: 3030194078 ISBN-13(EAN): 9783030194079
Издательство: Springer
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Цена: 18167.00 р.
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Описание: It is also a valuable research reference resource for postdoctoral candidates and academics in relevant research and application domains, such as data analytics, smart cities, smart energy, and smart healthcare, to name but a few.

Representations, Analysis and Recognition of Shape and Motion from Imaging Data

Автор: Boulbaba Ben Amor; Faten Chaieb; Faouzi Ghorbel
Название: Representations, Analysis and Recognition of Shape and Motion from Imaging Data
ISBN: 3319606530 ISBN-13(EAN): 9783319606538
Издательство: Springer
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Цена: 8384.00 р.
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Описание: 3D Shape Registration and Comparison.- Face Analysis and Recognition.- Video and Motion Analysis.- 2D Shape Analysis.

Graph-Based Representations in Pattern Recognition

Автор: Pasquale Foggia; Cheng-Lin Liu; Mario Vento
Название: Graph-Based Representations in Pattern Recognition
ISBN: 3319589601 ISBN-13(EAN): 9783319589602
Издательство: Springer
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Цена: 7685.00 р.
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Описание: The papers discuss research results and applications in the intersection of pattern recognition, image analysis, graph theory, and also the application of graphs to pattern recognition problems in other fields like computational topology, graphic recognition systems and bioinformatics.

Non-linear Data Structures and Data Processing

Автор: Xingni Zhou, Zhiyuan Ren, Yanzhuo Ma, Kai Fan, Ji Xiang
Название: Non-linear Data Structures and Data Processing
ISBN: 3110676052 ISBN-13(EAN): 9783110676051
Издательство: Walter de Gruyter
Цена: 12078.00 р.
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Описание:

The systematic description starts with basic theory and applications of different kinds of data structures, including storage structures and models. It also explores on data processing methods such as sorting, index and search technologies. Due to its numerous exercises the book is a helpful reference for graduate students, lecturers.

Spectral and Shape Analysis in Medical Imaging

Автор: Reuter
Название: Spectral and Shape Analysis in Medical Imaging
ISBN: 3319512366 ISBN-13(EAN): 9783319512365
Издательство: Springer
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Цена: 5870.00 р.
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Описание: This book constitutes the refereed post-conference proceedings of the First International Workshop on Spectral and Shape Analysis in Medical Imaging, SeSAMI 2016, held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016.The 10 submitted full papers presented in this volume were carefully reviewed.The papers reflect the following topics: spectral methods; longitudinal methods; and shape methods.

Graph-Based Representations in Pattern Recognition

Автор: Cheng-Lin Liu; Bin Luo; Walter G. Kropatsch; Jian
Название: Graph-Based Representations in Pattern Recognition
ISBN: 3319182234 ISBN-13(EAN): 9783319182230
Издательство: Springer
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Цена: 7826.00 р.
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Описание: The accepted papers cover diverse issues of graph-based methods and applications, with 7 in graph representation,15 in graph matching, 7 in graph clustering and classification, and 7 in graph-based applications.


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