Processing and Analysis of Biomedical Information, Natasha Lepore; Jorge Brieva; Eduardo Romero; Dani
Автор: Spyrou Evangelos, Iakovidis Dimitrios, Mylonas Phi Название: Semantic Multimedia Analysis and Processing ISBN: 1466575492 ISBN-13(EAN): 9781466575493 Издательство: Taylor&Francis Рейтинг: Цена: 209270.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Broad in scope, Semantic Multimedia Analysis and Processing provides a complete reference of techniques, algorithms, and solutions for the design and the implementation of contemporary multimedia systems. Offering a balanced, global look at the latest advances in semantic indexing, retrieval, analysis, and processing of multimedia, the book features the contributions of renowned researchers from around the world. Its contents are based on four fundamental thematic pillars: 1) information and content retrieval, 2) semantic knowledge exploitation paradigms, 3) multimedia personalization, and 4) human-computer affective multimedia interaction. Its 15 chapters cover key topics such as content creation, annotation and modeling for the semantic web, multimedia content understanding, and efficiency and scalability.
Fostering a deeper understanding of a popular area of research, the text:
Describes state-of-the-art schemes and applications
Supplies authoritative guidance on research and deployment issues
Presents novel methods and applications in an informative and reproducible way
Contains numerous examples, illustrations, and tables summarizing results from quantitative studies
Considers ongoing trends and designates future challenges and research perspectives
Includes bibliographic links for further exploration
Uses both SI and US units
Ideal for engineers and scientists specializing in the design of multimedia systems, software applications, and image/video analysis and processing technologies, Semantic Multimedia Analysis and Processing aids researchers, practitioners, and developers in finding innovative solutions to existing problems, opening up new avenues of research in uncharted waters.
Название: Semantic Multimedia Analysis and Processing ISBN: 1138075388 ISBN-13(EAN): 9781138075382 Издательство: Taylor&Francis Рейтинг: Цена: 78590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Broad in scope, Semantic Multimedia Analysis and Processing provides a complete reference of techniques, algorithms, and solutions for the design and the implementation of contemporary multimedia systems. Offering a balanced, global look at the latest advances in semantic indexing, retrieval, analysis, and processing of multimedia, the book features the contributions of renowned researchers from around the world. Its contents are based on four fundamental thematic pillars: 1) information and content retrieval, 2) semantic knowledge exploitation paradigms, 3) multimedia personalization, and 4) human-computer affective multimedia interaction. Its 15 chapters cover key topics such as content creation, annotation and modeling for the semantic web, multimedia content understanding, and efficiency and scalability.
Fostering a deeper understanding of a popular area of research, the text:
Describes state-of-the-art schemes and applications
Supplies authoritative guidance on research and deployment issues
Presents novel methods and applications in an informative and reproducible way
Contains numerous examples, illustrations, and tables summarizing results from quantitative studies
Considers ongoing trends and designates future challenges and research perspectives
Includes bibliographic links for further exploration
Uses both SI and US units
Ideal for engineers and scientists specializing in the design of multimedia systems, software applications, and image/video analysis and processing technologies, Semantic Multimedia Analysis and Processing aids researchers, practitioners, and developers in finding innovative solutions to existing problems, opening up new avenues of research in uncharted waters.
Автор: Boehm Matthias, Kumar Arun, Yang Jun Название: Data Management in Machine Learning Systems ISBN: 1681734966 ISBN-13(EAN): 9781681734965 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 67450.00 T Наличие на складе: Невозможна поставка. Описание:
Large-scale data analytics using machine learning (ML) underpins many modern data-driven applications. ML systems provide means of specifying and executing these ML workloads in an efficient and scalable manner. Data management is at the heart of many ML systems due to data-driven application characteristics, data-centric workload characteristics, and system architectures inspired by classical data management techniques.
In this book, we follow this data-centric view of ML systems and aim to provide a comprehensive overview of data management in ML systems for the end-to-end data science or ML lifecycle. We review multiple interconnected lines of work: (1) ML support in database (DB) systems, (2) DB-inspired ML systems, and (3) ML lifecycle systems. Covered topics include: in-database analytics via query generation and user-defined functions, factorized and statistical-relational learning; optimizing compilers for ML workloads; execution strategies and hardware accelerators; data access methods such as compression, partitioning and indexing; resource elasticity and cloud markets; as well as systems for data preparation for ML, model selection, model management, model debugging, and model serving. Given the rapidly evolving field, we strive for a balance between an up-to-date survey of ML systems, an overview of the underlying concepts and techniques, as well as pointers to open research questions. Hence, this book might serve as a starting point for both systems researchers and developers.
Автор: Hayes, Monson H. Название: Statistical digital signal processing and modeling ISBN: 0471594318 ISBN-13(EAN): 9780471594314 Издательство: Wiley Рейтинг: Цена: 304240.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book responds to the dramatic growth in digital signal processing (DSP) over the past decade. While its focal point is signal modeling, the book integrates and explores the relationships of signal modeling to the important problems of optimal filtering, spectral estimation, and adaptive filtering.
Автор: Masoud Nikravesh; Lofti A. Zadeh Название: Soft Computing for Information Processing and Analysis ISBN: 3642061818 ISBN-13(EAN): 9783642061813 Издательство: Springer Рейтинг: Цена: 181670.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This carefully edited book has evolved from presentations made by the participants of a meeting entitled "Fuzzy Logic and the Internet: Enhancing the Power of the Internet", organized by the Berkeley Initiative in Soft Computing (BISC), University of California, Berkeley.
Название: Image Processing and Analysis with Graphs ISBN: 1138071765 ISBN-13(EAN): 9781138071766 Издательство: Taylor&Francis Рейтинг: Цена: 86760.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Covering the theoretical aspects of image processing and analysis through the use of graphs in the representation and analysis of objects, Image Processing and Analysis with Graphs: Theory and Practice also demonstrates how these concepts are indispensible for the design of cutting-edge solutions for real-world applications.
Explores new applications in computational photography, image and video processing, computer graphics, recognition, medical and biomedical imaging
With the explosive growth in image production, in everything from digital photographs to medical scans, there has been a drastic increase in the number of applications based on digital images. This book explores how graphs--which are suitable to represent any discrete data by modeling neighborhood relationships--have emerged as the perfect unified tool to represent, process, and analyze images. It also explains why graphs are ideal for defining graph-theoretical algorithms that enable the processing of functions, making it possible to draw on the rich literature of combinatorial optimization to produce highly efficient solutions.
Some key subjects covered in the book include:
Definition of graph-theoretical algorithms that enable denoising and image enhancement
Energy minimization and modeling of pixel-labeling problems with graph cuts and Markov Random Fields
Image processing with graphs: targeted segmentation, partial differential equations, mathematical morphology, and wavelets
Analysis of the similarity between objects with graph matching
Adaptation and use of graph-theoretical algorithms for specific imaging applications in computational photography, computer vision, and medical and biomedical imaging
Use of graphs has become very influential in computer science and has led to many applications in denoising, enhancement, restoration, and object extraction. Accounting for the wide variety of problems being solved with graphs in image processing and computer vision, this book is a contributed volume of chapters written by renowned experts who address specific techniques or applications. This state-of-the-art overview provides application examples that illustrate practical application of theoretical algorithms. Useful as a support for graduate courses in image processing and computer vision, it is also perfect as a reference for practicing engineers working on development and implementation of image processing and analysis algorithms.
Автор: Jose Emilio Labra Gayo, Eric Prud`hommeaux, Iovka Boneva, Dimitris Kontokostas Название: Validating RDF Data ISBN: 1681733889 ISBN-13(EAN): 9781681733883 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 112730.00 T Наличие на складе: Невозможна поставка. Описание: RDF and Linked Data have broad applicability across many fields, from aircraft manufacturing to zoology. Requirements for detecting bad data differ across communities, fields, and tasks, but nearly all involve some form of data validation. This book introduces data validation and describes its practical use in day-to-day data exchange.
Автор: Jiri Jan Название: Medical Image Processing, Reconstruction and Analysis: Concepts and Methods, Second Edition ISBN: 113831028X ISBN-13(EAN): 9781138310285 Издательство: Taylor&Francis Рейтинг: Цена: 224570.00 T Наличие на складе: Невозможна поставка. Описание: Medical Image Processing, Reconstruction and Analysis – Concepts and Methods explains the general principles and methods of image processing, focusing namely on applications used in medical imaging – providing a theoretical yet clear and easy to follow explanation of underlying generic concepts. The content of this book is divided into three parts: Part I – Images as Multidimensional Signals provides the introduction tobasic image processing theory, explaining it for both analogue and digital image representations. Part II – Imaging Systems as Data Sources offers a non-traditional view on imaging modalities, explaining – without technical details – their basic principles influencing the properties of the obtained images, with emphasis placed on analyzing the internal signals and (pre)image data that are to be processed by the methods described in this book. Part III – Image Processing and Analysis focuses on such vital image processing topics as tomographic image reconstruction, image fusion, methods if image enhancement and restoration. It explains concepts of both fundamental-level image analysis detailing local feature, edge and texture analysis, image segmentation and morphological transforms, and higher-level analysis, as principal and independent component analysis and namely the new analysis area based on deep learning, namely that using convolutional neural networks. Briefly, also the medical image-processing environment is briefly treated, including the processes for image archiving and communication. Features Presents a good, theoretically exact yet understandable overview of basic theory related to image processing and analysis, with practical interpretations of all theoretical conclusions Provides a concise treatment of a wide variety of medical imaging modalities with respect to properties of image data to be processed Includes topical discussions on medical image reconstruction, fusion, enhancement and restoration as well as on image analysis including the recently appearing deep-learning based methods Explores appropriate applications relevant to particular chapters
Автор: Manjunath V. Joshi Название: Multi-resolution Image Fusion in Remote Sensing ISBN: 1108475124 ISBN-13(EAN): 9781108475129 Издательство: Cambridge Academ Рейтинг: Цена: 74970.00 T Наличие на складе: Поставка под заказ. Описание: Presenting new advances in the field, this text will be a valuable reference for the students and researchers of image processing, multi-spectral imaging and remote sensing. It discusses tools and techniques of multi resolution image fusion with the necessary mathematical background.
Автор: Cox, Andrew Verbaan, Eddy Название: Exploring research data management ISBN: 178330278X ISBN-13(EAN): 9781783302789 Издательство: Facet Рейтинг: Цена: 88000.00 T Наличие на складе: Невозможна поставка. Описание: Exploring Research Data Management is an accessible introduction to RDM with engaging tasks for the reader to follow and build their knowledge. It will be useful reading for all students studying librarianship and information management.
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