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Probabilistic and Biologically Inspired Feature Representations, Michael Felsberg


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Автор: Michael Felsberg
Название:  Probabilistic and Biologically Inspired Feature Representations
ISBN: 9781681730233
Издательство: Mare Nostrum (Eurospan)
Классификация:



ISBN-10: 1681730235
Обложка/Формат: Paperback
Страницы: 103
Вес: 0.20 кг.
Дата издания: 30.06.2018
Серия: Synthesis lectures on computer vision
Язык: English
Размер: 235 x 191 x 6
Ключевые слова: Computer science,Artificial intelligence,Machine learning,Computer vision, COMPUTERS / Computer Science,COMPUTERS / Computer Vision & Pattern Recognition,COMPUTERS / Intelligence (AI) & Semantics
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Поставляется из: Англии
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.

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
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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.

Biologically-Inspired Techniques For Knowledge Discovery And Data Mining

Автор: Alam
Название: Biologically-Inspired Techniques For Knowledge Discovery And Data Mining
ISBN: 1466660783 ISBN-13(EAN): 9781466660786
Издательство: Mare Nostrum (Eurospan)
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Цена: 257790.00 T
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Описание: Biologically-inspired data mining has a wide variety of applications in areas such as data clustering, classification, sequential pattern mining, and information extraction in healthcare and bioinformatics. Over the past decade, research materials in this area have dramatically increased, providing clear evidence of the popularity of these techniques.Biologically-Inspired Techniques for Knowledge Discovery and Data Mining exemplifies prestigious research and shares the practices that have allowed these areas to grow and flourish. This essential reference publication highlights contemporary findings in the area of biologically-inspired techniques in data mining domains and their implementation in real-life problems. Providing quality work from established researchers, this publication serves to extend existing knowledge within the research communities of data mining and knowledge discovery, as well as for academicians and students in the field.

A Biologically Inspired CMOS Image Sensor

Автор: Mukul Sarkar; Albert Theuwissen
Название: A Biologically Inspired CMOS Image Sensor
ISBN: 3642349005 ISBN-13(EAN): 9783642349003
Издательство: Springer
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Цена: 148020.00 T
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Описание: This book presents a new approach for designing net zero energy buildings based on thermal discomfort minimization. The method helps a designer to automatically search for the optimal solution among a large set of building variants.

Evolutionary and Biologically Inspired Music, Sound, Art and Design

Автор: Colin Johnson; Adrian Carballal; Jo?o Correia
Название: Evolutionary and Biologically Inspired Music, Sound, Art and Design
ISBN: 331916497X ISBN-13(EAN): 9783319164977
Издательство: Springer
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Цена: 44720.00 T
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Описание: This book constitutes the refereed proceedings of the 4th International Conference on Biologically Inspired Music, Sound, Art and Design, EvoMUSART 2015, held in Copenhagen, Denmark, in April 2015, co-located with the Evo* 2015 events EuroGP, EvoCOP and Evo Applications.

Biologically Inspired Approaches for Locomotion, Anomaly Detection and Reconfiguration for Walking Robots

Автор: Jakimovski
Название: Biologically Inspired Approaches for Locomotion, Anomaly Detection and Reconfiguration for Walking Robots
ISBN: 3642225047 ISBN-13(EAN): 9783642225048
Издательство: Springer
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Цена: 130430.00 T
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Описание: The increasing presence of mobile robots in our everyday lives introduces the requirements for their intelligent and autonomous features. Therefore the next generation of mobile robots should be more self-capable, in respect to: increasing of their functionality in unforeseen situations, decreasing of the human involvement in their everyday operations and their maintenance; being robust; fault tolerant and reliable in their operation.Although mobile robotic systems have been a topic of research for decades and aside the technology improvements nowadays, the subject on how to program and making them more autonomous in their operations is still an open field for research.Applying bio-inspired, organic approaches in robotics domain is one of the methodologies that are considered that would help on making the robots more autonomous and self-capable, i.e. having properties such as: self-reconfiguration, self-adaptation, self-optimization, etc.In this book several novel biologically inspired approaches for walking robots (multi-legged and humanoid) domain are introduced and elaborated. They are related to self-organized and self-stabilized robot walking, anomaly detection within robot systems using self-adaptation, and mitigating the faulty robot conditions by self-reconfiguration of a multi-legged walking robot. The approaches presented have been practically evaluated in various test scenarios, the results from the experiments are discussed in details and their practical usefulness is validated.

Biologically-Inspired Optimisation Methods

Автор: Andrew Lewis; Sanaz Mostaghim; Marcus Randall
Название: Biologically-Inspired Optimisation Methods
ISBN: 3642101771 ISBN-13(EAN): 9783642101779
Издательство: Springer
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Цена: 174130.00 T
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Описание: This book covers the latest theories, applications and techniques in Biologically-Inspired Optimisation Methods. Many chapters derive from studies presented at workshops and international conferences on e-Science, Grid Computing and Evolutionary computation.

Biologically Inspired Cognitive Architectures (BICA) for Young Scientists

Автор: Alexei V. Samsonovich; Valentin V. Klimov
Название: Biologically Inspired Cognitive Architectures (BICA) for Young Scientists
ISBN: 3319639390 ISBN-13(EAN): 9783319639390
Издательство: Springer
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Цена: 186330.00 T
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Описание: This book includes papers from the second year of the prestigious First International Early Research Career Enhancement School (FIERCES) series: a successful, new format that puts a school in direct connection with a conference and a social program, all dedicated to young scientists.

Evolutionary and Biologically Inspired Music, Sound, Art and Design

Автор: Penousal Machado; James McDermott; Adrian Carballa
Название: Evolutionary and Biologically Inspired Music, Sound, Art and Design
ISBN: 3642369545 ISBN-13(EAN): 9783642369544
Издательство: Springer
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Цена: 42860.00 T
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Описание: This book constitutes the refereed proceedings of the Second International Conference on Biologically Inspired Music, Sound, Art and Design, EvoMUSART 2013, held in Vienna, Austria, in March 2013, colocated with the Evo* 2013 events EuroGP, EvoCOP, EvoBIO, and EvoApplications.

Biologically Inspired Cognitive Architectures (BICA) for Young Scientists

Автор: Alexei V. Samsonovich; Valentin V. Klimov; Galina
Название: Biologically Inspired Cognitive Architectures (BICA) for Young Scientists
ISBN: 3319325531 ISBN-13(EAN): 9783319325538
Издательство: Springer
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Цена: 156720.00 T
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Описание: This book presents cutting-edge research focused on current challenges towards the realization of Biologically Inspired intelligent agents, or Cognitive Architectures (BICA).

Biologically Inspired Approaches to Advanced Information Technology

Автор: Auke Jan Ijspeert; Toshimitsu Masuzawa; Shinji Kus
Название: Biologically Inspired Approaches to Advanced Information Technology
ISBN: 3540312536 ISBN-13(EAN): 9783540312536
Издательство: Springer
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Цена: 81050.00 T
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Описание: Covers the refereed proceedings of the Second International Workshop on Biologically Inspired Approaches to Advanced Information Technology, BioADIT 2006. This book features contributions that range from basic research in biology and in information technology, to more application-oriented developments in software and in hardware.

Biologically Inspired Robot Behavior Engineering

Автор: Richard J. Duro; Jose Santos; Manuel Grana
Название: Biologically Inspired Robot Behavior Engineering
ISBN: 3790815136 ISBN-13(EAN): 9783790815139
Издательство: Springer
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Цена: 191560.00 T
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Описание: This overview of research on biologically inspired autonomous robotics crosses several boundaries in the field of robotics and the closely related field of artificial life. The key aim throughout the book is to obtain autonomy at different levels.

System and Circuit Design for Biologically-inspired Intellig

Автор: Temel Turgay
Название: System and Circuit Design for Biologically-inspired Intellig
ISBN: 1609600185 ISBN-13(EAN): 9781609600181
Издательство: Mare Nostrum (Eurospan)
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Цена: 189030.00 T
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Описание: Despite significant research and studies in biologically-inspired circuit design, the capability of the biological creatures still excels that of artificially human-made systems inspired in terms of adaptivity, sensitivity, and spectral characteristics. System and Circuit Design for Biologically-Inspired Intelligent Learning aims to bridge that gap in the belief that compact organization and arrangement of the circuit and system design will be a major factor in attaining the pursued benefits of biological systems. Including research from abstract fields such as psychology to more concrete topics including circuit design, this text is designed for even fresh reader to make a smooth transition from principles to system/circuit architectures which simulate learning intelligence.


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