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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.


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: 55890.00 T
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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: 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: 69870.00 T
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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: 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: 51230.00 T
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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.

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: 52170.00 T
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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.

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: 81050.00 T
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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.

Probabilistic and Biologically Inspired Feature Representations

Автор: Michael Felsberg
Название: Probabilistic and Biologically Inspired Feature Representations
ISBN: 1681733668 ISBN-13(EAN): 9781681733661
Издательство: Mare Nostrum (Eurospan)
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Цена: 66530.00 T
Наличие на складе: Невозможна поставка.
Описание: pacote do Courseware consiste em duas publicacoes, VeriSMTM - Foundation Courseware e VeriSM - Foundation Study Guide. Este material de treinamento abrange o plano de estudos para a qualificacao da Fundacao VeriSM . O treinamento pode ser entregue em dois dias. Este material didatico e credenciado para preparar o aluno para a certificacao da VeriSM Foundation. O VeriSM Foundation consiste em duas partes: VeriSM Essentials e VeriSM Plus, cada uma cobrindo um dia de treinamento.Os alunos que ja possuem um certificado de Gerenciamento de Servicos (TI) podem se beneficiar do conhecimento que ja possuem. Eles sao o publico-alvo de apenas um treinamento do VeriSM Plus. Ao serem aprovados no exame VeriSM Plus, recebem o certificado VeriSM Foundation.Provedores de treinamento que desejam oferecer um treinamento de um dia sobre principios de gerenciamento de servicos podem decidir oferecer apenas o treinamento VeriSM Essentials. Os alunos que forem aprovados no exame VeriSM Essentials receberao o certificado VeriSM Essentials. Se eles passarem no exame VeriSM Plus mais tarde, receberao automaticamente o certificado VeriSM Foundation.O "courseware" abrange os seguintes topicos:A organizacao do servico (Essentials)Cultura de servico (Essentials)Pessoas e estrutura organizacional (Essentials)O modelo VeriSM (ambos)Praticas Progressivas (Plus)Tecnologias Inovadoras (Plus)O VeriSM e uma abordagem holistica e orientada aos negocios para o Gerenciamento de Servicos, que ajuda a entender o panorama crescente das melhores praticas e como integra-las para oferecer valor ao consumidor.E uma evolucao no pensamento em Gerenciamento de Servicos e oferece uma abordagem atualizada, incluindo as mais recentes praticas e desenvolvimentos tecnologicos, para ajudar as organizacoes a transformar seus negocios para a nova realidade da era digital.O VeriSM e um gerenciamento orientado a valor, evolutivo, responsivo e integrado.VeriSM e uma marca registrada e propriedade da IFDC, a Fundacao Internacional de Competencias Digitais.

Probabilistic and Biologically Inspired Feature Representations

Автор: Michael Felsberg
Название: Probabilistic and Biologically Inspired Feature Representations
ISBN: 1681730235 ISBN-13(EAN): 9781681730233
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 46200.00 T
Наличие на складе: Невозможна поставка.
Описание: Under the title Probabilistic and Biologically Inspired Feature Representations, this text collects a substantial amount of work on the topic of channel representations. Channel representations are a biologically motivated, wavelet-like approach to visual feature descriptors: they are local and compact, they form a computational framework, and the represented information can be reconstructed. The first property is shared with many histogram- and signature-based descriptors, the latter property with the related concept of population codes. In their unique combination of properties, channel representations become a visual Swiss army knife—they can be used for image enhancement, visual object tracking, as 2D and 3D descriptors, and for pose estimation. In the chapters of this text, the framework of channel representations will be introduced and its attributes will be elaborated, as well as further insight into its probabilistic modeling and algorithmic implementation will be given. Channel representations are a useful toolbox to represent visual information for machine learning, as they establish a generic way to compute popular descriptors such as HOG, SIFT, and SHOT. Even in an age of deep learning, they provide a good compromise between hand-designed descriptors and a-priori structureless feature spaces as seen in the layers of deep networks.

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
Рейтинг:
Цена: 54030.00 T
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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.

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
Рейтинг:
Цена: 39130.00 T
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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.

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: 80520.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.


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
Рейтинг:
Цена: 121110.00 T
Наличие на складе: Поставка под заказ.
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.


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