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  • MPI Ethno. Forsch.  (5)
  • Waltham, MA : Morgan Kaufmann  (5)
  • Computer Science  (5)
Datasource
  • MPI Ethno. Forsch.  (5)
  • HeBIS  (1)
Material
Language
Years
Subjects(RVK)
  • 1
    Online Resource
    Online Resource
    Waltham, MA : Morgan Kaufmann
    ISBN: 9780124171282 , 0124171281 , 0124170455 , 9780124170452
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Parallel Title: Erscheint auch als
    DDC: 006.3/7
    RVK:
    RVK:
    Keywords: Computer vision ; Human face recognition (Computer science) ; Mobile computing ; Human face recognition (Computer science) ; Mobile computing ; Computer vision ; Bilderkennung ; Mobiles Endgerät ; Gesicht ; Mobiles Endgerät ; Gesicht ; Bilderkennung
    Abstract: This hands-on guide gives an overview of computer vision and enables engineers to understand the implications and challenges behind mobile platform design choices. Using face-related algorithms as examples, the author surveys and illustrates how design choices and algorithms can be geared towards developing power-saving and efficient applications on resource constrained mobile platforms. Topics include: algorithms for face detection and recognition; applications of facial technologies on mobile devices; an overview of other computer vision technologies. --
    Note: Includes bibliographical references
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    ISBN: 9780128011317 , 0128011319 , 0128008679 , 9780128008676
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition
    Parallel Title: Erscheint auch als
    DDC: 004.7
    RVK:
    Keywords: COMPUTERS / Computer Literacy ; COMPUTERS / Computer Science ; COMPUTERS / Data Processing ; COMPUTERS / Hardware / General ; COMPUTERS / Information Technology ; COMPUTERS / Machine Theory ; COMPUTERS / Reference ; Big data ; Data mining ; Social media ; Cloud computing ; Computer software / Development ; Distributed operating systems (Computers) ; Social media ; Data mining ; Big data ; Data Mining ; Social Media ; Big Data ; Social Media ; Data Mining ; Big Data
    Abstract: Increasingly, human beings are sensors engaging directly with the mobile Internet. Individuals can now share real-time experiences at an unprecedented scale. Social Sensing: Building Reliable Systems on Unreliable Data looks at recent advances in the emerging field of social sensing, emphasizing the key problem faced by application designers: how to extract reliable information from data collected from largely unknown and possibly unreliable sources. The book explains how a myriad of societal applications can be derived from this massive amount of data collected and shared by average individuals. The title offers theoretical foundations to support emerging data-driven cyber-physical applications and touches on key issues such as privacy. The authors present solutions based on recent research and novel ideas that leverage techniques from cyber-physical systems, sensor networks, machine learning, data mining, and information fusion
    Note: Includes bibliographical references and index
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    ISBN: 9780128011584 , 0128011580 , 9780128008874
    Language: English
    Pages: 1 Online-Ressource (965 Seiten)
    RVK:
    Keywords: Mathematisches Modell ; Computer networks Computer simulation ; Computer networks Mathematical models ; Simulation methods ; Datenverarbeitungssystem ; Simulation ; Rechnernetz ; Simulation ; Rechnernetz ; Datenverarbeitungssystem
    Note: Includes index
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    ISBN: 9780128016886 , 0128016884 , 012801413X , 9780128014134
    Language: English
    Pages: 1 online resource
    Parallel Title: Erscheint auch als
    DDC: 004.6782
    RVK:
    Keywords: COMPUTERS / Computer Literacy ; COMPUTERS / Computer Science ; COMPUTERS / Data Processing ; COMPUTERS / Hardware / General ; COMPUTERS / Information Technology ; COMPUTERS / Machine Theory ; COMPUTERS / Reference ; Cloud computing ; Engineering & Applied Sciences ; Computer Science ; Cloud Computing ; Cloud computing
    Abstract: Cloud Data Centers and Cost Modeling establishes a framework for strategic decision-makers to facilitate the development of cloud data centers. Just as building a house requires a clear understanding of the blueprints, architecture, and costs of the project; building a cloud-based data center requires similar knowledge. The authors take a theoretical and practical approach, starting with the key questions to help uncover needs and clarify project scope. They then demonstrate probability tools to test and support decisions, and provide processes that resolve key issues. After laying a foundation of cloud concepts and definitions, the book addresses data center creation, infrastructure development, cost modeling, and simulations in decision-making, each part building on the previous. In this way the authors bridge technology, management, and infrastructure as a service, in one complete guide to data centers that facilitates educated decision making
    Note: Includes bibliographical references and index
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    Online Resource
    Online Resource
    Waltham, MA : Morgan Kaufmann
    ISBN: 9780128016497 , 0128016493
    Language: English
    Pages: 1 online resource , illustrations
    Edition: Third edition
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    DDC: 005.2/752
    RVK:
    RVK:
    Keywords: OpenCL (Computer program language) ; Parallel programming (Computer science) ; Parallel programming (Computer science) ; OpenCL (Computer program language) ; Parallelverarbeitung ; OpenCL ; Parallelverarbeitung ; OpenCL
    Abstract: Heterogeneous Computing with OpenCL 2.0 teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs). This fully-revised edition includes the latest enhancements in OpenCL 2.0 including: Shared virtual memory to increase programming flexibility and reduce data transfers that consume resources Dynamic parallelism which reduces processor load and avoids bottlenecks Improved imaging support and integration with OpenGL Designed to work on multiple platfor
    Note: Includes bibliographical references and index
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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