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Books in Computer science

The Computing collection presents a range of foundational and applied content across computer and data science, including fields such as Artificial Intelligence; Computational Modelling; Computer Networks, Computer Organization & Architecture, Computer Vision & Pattern Recognition, Data Management; Embedded Systems & Computer Engineering; HCI/User Interface Design; Information Security; Machine Learning; Network Security; Software Engineering.

BooksJournals

    • Advances in Domain Adaptation Theory

      • 1st Edition
      • August 14, 2019
      • Ievgen Redko + 4 more
      • English
      • Hardback
        9 7 8 1 7 8 5 4 8 2 3 6 6
      • eBook
        9 7 8 0 0 8 1 0 2 3 4 7 1
      Advances in Domain Adaptation Theory gives current, state-of-the-art results on transfer learning, with a particular focus placed on domain adaptation from a theoretical point-of-view. The book begins with a brief overview of the most popular concepts used to provide generalization guarantees, including sections on Vapnik-Chervonenkis (VC), Rademacher, PAC-Bayesian, Robustness and Stability based bounds. In addition, the book explains domain adaptation problem and describes the four major families of theoretical results that exist in the literature, including the Divergence based bounds. Next, PAC-Bayesian bounds are discussed, including the original PAC-Bayesian bounds for domain adaptation and their updated version. Additional sections present generalization guarantees based on the robustness and stability properties of the learning algorithm.

    • Deep Learning through Sparse and Low-Rank Modeling

      • 1st Edition
      • April 11, 2019
      • Zhangyang Wang + 2 more
      • English
      • Paperback
        9 7 8 0 1 2 8 1 3 6 5 9 1
      • eBook
        9 7 8 0 1 2 8 1 3 6 6 0 7
      Deep Learning through Sparse Representation and Low-Rank Modeling bridges classical sparse and low rank models—those that emphasize problem-specific Interpretability—wit... recent deep network models that have enabled a larger learning capacity and better utilization of Big Data. It shows how the toolkit of deep learning is closely tied with the sparse/low rank methods and algorithms, providing a rich variety of theoretical and analytic tools to guide the design and interpretation of deep learning models. The development of the theory and models is supported by a wide variety of applications in computer vision, machine learning, signal processing, and data mining. This book will be highly useful for researchers, graduate students and practitioners working in the fields of computer vision, machine learning, signal processing, optimization and statistics.

    • Intelligent Speech Signal Processing

      • 1st Edition
      • March 27, 2019
      • Nilanjan Dey
      • English
      • Paperback
        9 7 8 0 1 2 8 1 8 1 3 0 0
      • eBook
        9 7 8 0 1 2 8 1 8 1 3 1 7
      Intelligent Speech Signal Processing investigates the utilization of speech analytics across several systems and real-world activities, including sharing data analytics, creating collaboration networks between several participants, and implementing video-conferencing in different application areas. Chapters focus on the latest applications of speech data analysis and management tools across different recording systems. The book emphasizes the multidisciplinary nature of the field, presenting different applications and challenges with extensive studies on the design, development and management of intelligent systems, neural networks and related machine learning techniques for speech signal processing.

    • Building Big Data Applications

      • 1st Edition
      • November 15, 2019
      • Krish Krishnan
      • English
      • Paperback
        9 7 8 0 1 2 8 1 5 7 4 6 6
      • eBook
        9 7 8 0 1 2 8 1 5 8 0 4 3
      Building Big Data Applications helps data managers and their organizations make the most of unstructured data with an existing data warehouse. It provides readers with what they need to know to make sense of how Big Data fits into the world of Data Warehousing. Readers will learn about infrastructure options and integration and come away with a solid understanding on how to leverage various architectures for integration. The book includes a wide range of use cases that will help data managers visualize reference architectures in the context of specific industries (healthcare, big oil, transportation, software, etc.).

    • Information Visualization

      • 4th Edition
      • December 19, 2019
      • Colin Ware
      • English
      • Paperback
        9 7 8 0 1 2 8 1 2 8 7 5 6
      • eBook
        9 7 8 0 1 2 8 1 2 8 7 6 3
      Information Visualization: Perception for Design, Fourth Edition explores the art and science of why we see objects the way we do. Based on the science of perception and vision, the author presents the key principles at work for a wide range of applications--result... in visualization of improved clarity, utility and persuasiveness. This new edition has been revised and updated to include the latest relevant research findings. Content has been updated in areas such as the cognitive neuroscience of maps and navigation, the neuroscience of pattern perception, and the hierarchy of learned patterns. New changes to the book make it easier to apply perceptual lessons to design decisions. In addition, the book offers practical guidelines that can be applied by anyone, including interaction designers and graphic designers of all kinds.

    • Vision Models for High Dynamic Range and Wide Colour Gamut Imaging

      • 1st Edition
      • November 6, 2019
      • Marcelo Bertalmío
      • English
      • Paperback
        9 7 8 0 1 2 8 1 3 8 9 4 6
      • eBook
        9 7 8 0 1 2 8 1 3 8 9 5 3
      To enhance the overall viewing experience (for cinema, TV, games, AR/VR) the media industry is continuously striving to improve image quality. Currently the emphasis is on High Dynamic Range (HDR) and Wide Colour Gamut (WCG) technologies, which yield images with greater contrast and more vivid colours. The uptake of these technologies, however, has been hampered by the significant challenge of understanding the science behind visual perception. Vision Models for High Dynamic Range and Wide Colour Gamut Imaging provides university researchers and graduate students in computer science, computer engineering, vision science, as well as industry R&D engineers, an insight into the science and methods for HDR and WCG. It presents the underlying principles and latest practical methods in a detailed and accessible way, highlighting how the use of vision models is a key element of all state-of-the-art methods for these emerging technologies.

    • Rodak's Hematology

      • 6th Edition
      • February 22, 2019
      • Elaine M. Keohane + 2 more
      • English
      • Hardback
        9 7 8 0 3 2 3 5 3 0 4 5 3
      • eBook
        9 7 8 0 3 2 3 5 4 9 6 3 9
      **Selected for Doody’s Core Titles® 2024 in Laboratory Technology**Make sure you are thoroughly prepared to work in a clinical lab. Rodak’s Hematology: Clinical Principles and Applications, 6th Edition uses hundreds of full-color photomicrographs to help you understand the essentials of hematology. This new edition shows how to accurately identify cells, simplifies hemostasis and thrombosis concepts, and covers normal hematopoiesis through diseases of erythroid, myeloid, lymphoid, and megakaryocytic origins. Easy to follow and understand, this book also covers key topics including: working in a hematology lab; complementary testing areas such as flow cytometry, cytogenetics, and molecular diagnostics; the parts and functions of the cell; and laboratory testing of blood cells and body fluid cells.

    • Meta-Analytics

      • 1st Edition
      • March 10, 2019
      • Steven Simske
      • English
      • Paperback
        9 7 8 0 1 2 8 1 4 6 2 3 1
      • eBook
        9 7 8 0 1 2 8 1 4 6 2 4 8
      Meta-Analytics: Consensus Approaches and System Patterns for Data Analysis presents an exhaustive set of patterns for data science to use on any machine learning based data analysis task. The book virtually ensures that at least one pattern will lead to better overall system behavior than the use of traditional analytics approaches. The book is ‘meta’ to analytics, covering general analytics in sufficient detail for readers to engage with, and understand, hybrid or meta- approaches. The book has relevance to machine translation, robotics, biological and social sciences, medical and healthcare informatics, economics, business and finance. Inn addition, the analytics within can be applied to predictive algorithms for everyone from police departments to sports analysts.

    • Mosby's Dental Dictionary

      • 4th Edition
      • April 5, 2019
      • Elsevier Inc
      • English
      • Paperback
        9 7 8 0 3 2 3 5 4 6 3 5 5
      • eBook
        9 7 8 0 3 2 3 5 5 1 0 6 9
      **Selected for Doody’s Core Titles® 2024 with "Essential Purchase" designation in Dictionaries/Termino... essential dental resource that goes beyond education! Mosby's Dental Dictionary, 4th Edition is the must-have, pocket-sized reference covering all areas of dentistry that’s designed for both students and practitioners. This new edition defines over 10,000 terms on dynamic areas of dentistry, including materials, imaging, surgery, orthodontics, pain control, and more.　Throughout the text, over 300 illustrations address new innovations, research, technology, and products in the field, and extensive appendices provide quick access to the information you will use every day. Plus, a free companion website contains more than 5,000 audio pronunciations, 500 additional images, videos, and animations to help illustrate key concepts.

    • Spectral Geometry of Shapes

      • 1st Edition
      • October 24, 2019
      • Jing Hua + 2 more
      • English
      • Paperback
        9 7 8 0 1 2 8 1 3 8 4 2 7
      • eBook
        9 7 8 0 1 2 8 1 3 8 4 3 4
      Spectral Geometry of Shapes presents unique shape analysis approaches based on shape spectrum in differential geometry. It provides insights on how to develop geometry-based methods for 3D shape analysis. The book is an ideal learning resource for graduate students and researchers in computer science, computer engineering and applied mathematics who have an interest in 3D shape analysis, shape motion analysis, image analysis, medical image analysis, computer vision and computer graphics. Due to the rapid advancement of 3D acquisition technologies there has been a big increase in 3D shape data that requires a variety of shape analysis methods, hence the need for this comprehensive resource.

Related subjects

Applications

Artificial intelligence

Business intelligence

Computer systems organization

Computer vision and pattern recognition

Computing milieux

Data

Graphics cad hci

Hardware and architecture

Information systems

Internet and web technology

Software

Theory and mathematics