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  • 1
    Online Resource
    Online Resource
    London, United Kingdom : IntechOpen
    UID:
    b3kat_BV048325580
    Format: 1 Online-Ressource , Illustrationen, Diagramme
    ISBN: 9781839623769 , 9781839623752
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-1-83962-374-5
    Language: English
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
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  • 2
    UID:
    almahu_9947363878202882
    Format: IX, 117 p. 64 illus. , online resource.
    ISBN: 9783319133232
    Series Statement: Lecture Notes in Computer Science, 8703
    Content: This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Activity Monitoring by Multiple Distributed Sensing, AMMDS 2014, held in Stockholm, Sweden, in August 2014, as a satellite event of ICPR 2014, the 22nd International Conference on Pattern Recognition. The 9 revised full papers included in the volume investigate the challenges that arise when distributed sensor networks are used to track, monitor, and understand the activity, intent, and motives of human beings. Application areas include human-computer interaction, user interface design, robot learning, and surveillance.
    Note: A Distributed Cooperative Architecture for Robotic Networks with Application to Ambient Intelligence -- A Customizable Approach for Monitoring Activities of Elderly Users in Their Homes -- The AVA Multi-View Dataset for Gait Recognition -- Topological Features for Monitoring Human Activities at Distance -- TLD and Struck: A Feature Descriptors Comparative Study -- Group Sleepiness Measurement in Classroom -- A Semantic Reasoner Using Attributed Graphs Based on Intelligent Fusion of Security Multi-sources Information -- Visual Tracking via Sparse Representation and Online Dictionary Learning -- A Wireless Sensor Network Application with Distributed Processing in the Compressed Domain.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9783319133225
    Language: English
    Subjects: Computer Science
    RVK:
    Keywords: Konferenzschrift ; Konferenzschrift
    URL: Volltext  (lizenzpflichtig)
    URL: Volltext  (lizenzpflichtig)
    URL: Cover
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  • 3
    UID:
    b3kat_BV046574920
    Format: 1 Online-Ressource , Illustrationen, Diagramme
    ISBN: 9781789851588 , 9781789851427
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-1-78985-157-1
    Language: English
    URL: Volltext  (kostenfrei)
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  • 4
    UID:
    b3kat_BV042248969
    Format: 1 Online-Ressource (XVIII, 459 p.) , Ill.
    Edition: Online-Ausgabe Springer eBook Collection / Computer Science
    ISBN: 9783319108070
    Additional Edition: Reproduktion von Spagnolo, Paolo Human Behavior Understanding in Networked Sensing 2014
    Additional Edition: Erscheint auch als Druckausgabe ISBN 978-3-319-10806-3
    Language: English
    Subjects: Computer Science
    RVK:
    RVK:
    Keywords: Künstliche Intelligenz ; Maschinelles Sehen ; Sensor ; Verhaltensforschung ; Mensch-Maschine-Kommunikation ; Monitoring ; Sensor ; Aufsatzsammlung
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  • 5
    UID:
    gbv_1778480969
    Format: 1 Online-Ressource (206 p.)
    ISBN: 9781789851588 , 9781789851571 , 9781789851427
    Content: Visual object tracking (VOT) and face recognition (FR) are essential tasks in computer vision with various real-world applications including human-computer interaction, autonomous vehicles, robotics, motion-based recognition, video indexing, surveillance and security. This book presents the state-of-the-art and new algorithms, methods, and systems of these research fields by using deep learning. It is organized into nine chapters across three sections. Section I discusses object detection and tracking ideas and algorithms; Section II examines applications based on re-identification challenges; and Section III presents applications based on FR research
    Note: English
    Language: English
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  • 6
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : IntechOpen
    UID:
    gbv_1794559183
    Format: 1 Online-Ressource (214 p.)
    ISBN: 9781839623752 , 9781839623745 , 9781839623769
    Content: Deep learning is a branch of machine learning similar to artificial intelligence. The applications of deep learning vary from medical imaging to industrial quality checking, sports, and precision agriculture. This book is divided into two sections. The first section covers deep learning architectures and the second section describes the state of the art of applications based on deep learning
    Note: English
    Language: English
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  • 7
    Online Resource
    Online Resource
    London :IntechOpen,
    UID:
    almahu_9949517302002882
    Format: 1 online resource (216 pages)
    Edition: 1st ed.
    ISBN: 9781839623769
    Additional Edition: Print version: Mazzeo, Pier Luigi Deep Learning Applications London : IntechOpen,c2021
    Language: English
    Keywords: Electronic books.
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  • 8
    UID:
    gbv_1877768421
    Format: 1 Online-Ressource (455 p.)
    ISBN: 9789811280177 , 9780000991515 , 9789811280191
    Content: The Large Hadron Collider (LHC) is the highest energy collider ever built. It resides near Geneva in a tunnel 3.8m wide, with a circumference of 26.7km, which was excavated in 1983-1988 to initially house the electron-positron collider LEP. The LHC was approved in 1995, and it took until 2010 for reliable operation. By now, a larger set of larger integrated luminosities have been accumulated for physics analyses in the four collider experiments: ATLAS, CMS, LHCb and ALICE.The LHC operates with an extended cryogenic plant, using a multi-stage injection system comprising the PS and SPS accelerators (still in use for particle physics experiments at lower energies). The beams are guided by 1232 superconducting high field dipole magnets.Intense works are underway in preparation of the High Luminosity LHC, aimed at upgrading the LHC and detectors for collecting ten times more luminosity, and extending the collider life to the early 2040's. So far, the (HL-)LHC project represents a cumulation of around one hundred thousand person-years of innovative work by technicians, engineers, and physicists from all over the world; probably the largest scientific effort ever in the history of humanity. The book is driven by the realisation of the unique value of this accelerator complex and by the recognition of the status of high energy physics, described by a Standard Model — which still leaves too many questions unanswered to be the appropriate theory of elementary particles and their interactions.Following the Introduction are: three chapters which focus on the initial decade of operation, leading to the celebrated discovery of the Higgs Boson, on the techniques and physics of the luminosity upgrade, and finally on major options - of using the LHC in a concurrent, power economic, electron-hadron scattering mode, when upgraded to higher energies or eventually as an injector for the next big machine. The various technical and physics chapters, provided by 61 authors, characterise the fascinating opportunities the LHC offers for the next two decades ahead (possibly longer), with the goal to substantially advance our understanding of nature
    Note: English
    Language: Undetermined
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  • 9
    UID:
    edocfu_9959394986702883
    Format: 1 online resource (206 pages) : , illustrations some color
    ISBN: 1-78985-142-4 , 1-78985-158-0
    Content: Visual object tracking (VOT) and face recognition (FR) are essential tasks in computer vision with various real-world applications including human-computer interaction, autonomous vehicles, robotics, motion-based recognition, video indexing, surveillance and security. This book presents the state-of-the-art and new algorithms, methods, and systems of these research fields by using deep learning. It is organized into nine chapters across three sections. Section I discusses object detection and tracking ideas and algorithms; Section II examines applications based on re-identification challenges; and Section III presents applications based on FR research.
    Note: English
    Additional Edition: ISBN 1-78985-157-2
    Language: English
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  • 10
    UID:
    edoccha_9959394986702883
    Format: 1 online resource (206 pages) : , illustrations some color
    ISBN: 1-78985-142-4 , 1-78985-158-0
    Content: Visual object tracking (VOT) and face recognition (FR) are essential tasks in computer vision with various real-world applications including human-computer interaction, autonomous vehicles, robotics, motion-based recognition, video indexing, surveillance and security. This book presents the state-of-the-art and new algorithms, methods, and systems of these research fields by using deep learning. It is organized into nine chapters across three sections. Section I discusses object detection and tracking ideas and algorithms; Section II examines applications based on re-identification challenges; and Section III presents applications based on FR research.
    Note: English
    Additional Edition: ISBN 1-78985-157-2
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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