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Learning Representation for Multi-View Data Analysis, Zhengming Ding; Handong Zhao; Yun Fu


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Цена: 16769.00р.
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Автор: Zhengming Ding; Handong Zhao; Yun Fu
Название:  Learning Representation for Multi-View Data Analysis
Перевод названия: Чженмин Дин, Ханьдон Чжао, Юнь Фу: Представление процесса обучения анализу множества изображений
ISBN: 9783030007331
Издательство: Springer
Классификация:



ISBN-10: 3030007332
Обложка/Формат: Hardcover
Страницы: 268
Вес: 0.59 кг.
Дата издания: 2019
Серия: Advanced Information and Knowledge Processing
Язык: English
Издание: 1st ed. 2019
Иллюстрации: 69 illustrations, color; 7 illustrations, black and white; x, 268 p. 76 illus., 69 illus. in color.
Размер: 234 x 156 x 18
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: Models and Applications
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book equips readers to handle complex multi-view data representation, centered around several major visual applications, sharing many tips and insights through a unified learning framework. This framework is able to model most existing multi-view learning and domain adaptation, enriching readers’ understanding from their similarity, and differences based on data organization and problem settings, as well as the research goal.A comprehensive review exhaustively provides the key recent research on multi-view data analysis, i.e., multi-view clustering, multi-view classification, zero-shot learning, and domain adaption. More practical challenges in multi-view data analysis are discussed including incomplete, unbalanced and large-scale multi-view learning. Learning Representation for Multi-View Data Analysis covers a wide range of applications in the research fields of big data, human-centered computing, pattern recognition, digital marketing, web mining, and computer vision.
Дополнительное описание: Introduction.- Multi-view Clustering with Complete Information.- Multi-view Clustering with Partial Information.- Multi-view Outlier Detection.- Multi-view Transformation Learning.- Zero-Shot Learning.- Missing Modality Transfer Learning.- Deep Domain Ada



Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation

Автор: Stanis?aw Kozielski; Dariusz Mrozek; Pawe? Kasprow
Название: Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation
ISBN: 3319582739 ISBN-13(EAN): 9783319582733
Издательство: Springer
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Цена: 12577.00 р.
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Описание: This book constitutes the refereed proceedings of the 13th International Conference entitled Beyond Databases, Architectures and Structures, BDAS 2017, held in Ustron, Poland, in May/June 2017.It consists of 44 carefully reviewed papers selected from 118 submissions.

Knowledge Representation for Agents and Multi-Agent Systems

Автор: John-Jules Meyer; Jan M. Broersen
Название: Knowledge Representation for Agents and Multi-Agent Systems
ISBN: 3642053009 ISBN-13(EAN): 9783642053009
Издательство: Springer
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Цена: 9781.00 р.
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Описание: First International Workshop KRAMAS 2008 Sydney Australia September 17 2008 Revised Selected Papers. .

Multi-Hierarchical Representation of Large-Scale Space

Автор: Juan A. Fern?ndez; Javier Gonz?lez
Название: Multi-Hierarchical Representation of Large-Scale Space
ISBN: 9048158613 ISBN-13(EAN): 9789048158614
Издательство: Springer
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Цена: 19589.00 р.
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Описание: It has been stated in psychology that human brain arranges information in a way that improves efficiency in performing common tasks, for example, information about our spatial environment is conveniently structured for efficient route finding.

Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data

Автор: Qian Wang; Fausto Milletari; Hien V. Nguyen; Shadi
Название: Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data
ISBN: 3030333906 ISBN-13(EAN): 9783030333904
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the refereed proceedings of the First MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2019, and the First International Workshop on Medical Image Learning with Less Labels and Imperfect Data, MIL3ID 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019.

A New Foundation for Representation in Cognitive and Brain Science

Автор: Jaime G?mez-Ramirez
Название: A New Foundation for Representation in Cognitive and Brain Science
ISBN: 940077737X ISBN-13(EAN): 9789400777378
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book advances understanding of brain function by defining a framework for representation based on category theory. Brings mathematical formalism into the domain of neural representation of physical spaces, as a basis for a theory of mental representation.

Advanced Methods And Tools For Ecg Data Analysis

Автор: Francisco Azuaje, Gari Clifford, And Patrick Mcsh
Название: Advanced Methods And Tools For Ecg Data Analysis
ISBN: 1580539661 ISBN-13(EAN): 9781580539661
Издательство: Artech House
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Цена: 26242.00 р.
Наличие на складе: Нет в наличии.

Описание: Here’s a cutting-edge, practical book that offers you a thorough understanding of state-of-the-art techniques for electrocardiogram (ECG) data analysis. Placing emphasis on the selection, modeling, classification, and interpretation of data based on advanced signal processing and artificial intelligence techniques, the book helps you design, implement, and evaluate software systems used for the analysis of ECG and related data.

Modern Statistics for Modern Biology

Автор: Holmes Susan
Название: Modern Statistics for Modern Biology
ISBN: 1108705294 ISBN-13(EAN): 9781108705295
Издательство: Cambridge Academ
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Цена: 8237.00 р.
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Описание: Designed for a new generation of biologists, this textbook teaches modern computational statistics by using R/Bioconductor to analyze experimental data from high-throughput technologies. The presentation minimizes mathematical notation and emphasizes inductive understanding from well-chosen examples, hands-on simulation, and visualization.

Social Media Data Extraction and Content Analysis

Автор: Shalin Hai-Jew
Название: Social Media Data Extraction and Content Analysis
ISBN: 1522506489 ISBN-13(EAN): 9781522506485
Издательство: Mare Nostrum (Eurospan)
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Цена: 33403.00 р.
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Описание: Explores various social networking platforms and the technologies being utilized to gather and analyse information being posted to these venues. Highlighting emergent research, analytical techniques, and best practices in data extraction in global electronic culture, this publication is an essential reference source for researchers, academics, and professionals.

Diagrammatic Representation and Inference

Автор: Ashok K Goel; Mateja Jamnik; N Hari Narayanan
Название: Diagrammatic Representation and Inference
ISBN: 364214599X ISBN-13(EAN): 9783642145995
Издательство: Springer
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Цена: 10480.00 р.
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Описание: Constitutes the refereed proceedings of the 6th International Conference on Theory and Application of Diagrams, Diagrams 2010, held in Portland, OR, USA, in August 2010.

Knowledge Representation, Reasoning, and the Design of Intelligent Agents

Автор: Gelfond, M. and Kahl, Y.
Название: Knowledge Representation, Reasoning, and the Design of Intelligent Agents
ISBN: 1107029562 ISBN-13(EAN): 9781107029569
Издательство: Cambridge Academ
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Цена: 8078.00 р.
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Описание: This in-depth introduction for students and researchers shows how to use ASP for intelligent tasks, including answering queries, planning, and diagnostics.

Diagrammatic Representation and Inference

Автор: Jamnik
Название: Diagrammatic Representation and Inference
ISBN: 3319423320 ISBN-13(EAN): 9783319423326
Издательство: Springer
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Цена: 7826.00 р.
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Описание:

This book constitutes the refereed proceedings of the 9th International
Conference on the Theory and Application of Diagrams, Diagrams 2016,
held in Philadelphia, PA, USA, in August 2016.
The 12 revised full papers and 11 short papers presented together with 5 posters were carefully reviewed and selected from 48 submissions. The papers are organized in the following topical sections: cognitive aspects of diagrams; logic and diagrams; Euler and Venn diagrams; diagrams and education; design principles for diagrams; diagrams layout.
Graph-Based Representation and Reasoning

Автор: Haemmerl?
Название: Graph-Based Representation and Reasoning
ISBN: 3319409840 ISBN-13(EAN): 9783319409849
Издательство: Springer
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Цена: 6988.00 р.
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Описание: This book constitutes the proceedings of the 22th International Conference on Conceptual Structures, ICCS 2016, held in Annecy, France, in July 2016. The 14 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 40 submissions.


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