Kyong Ho Lee

Kyong Ho Lee

Yonsei University

Professor

Department of Computer Science

Research Area

  • #Computer science
  • #Data mining
  • #Distributed computing
  • #RDF
  • #Theoretical computer science
  • #Semantic Web
  • #Graph
  • #Information retrieval
  • #SPARQL
  • #Web service

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Related papers to
‘ Computer science ‘ : 20

  • Multimodal Face-Pose Estimation With Multitask Manifold Deep Learning

    2019/07

    9.1 Impact Factor

    137 citations

    Chaoqun Hong, Jun Yu, Jian Zhang, Xiongnan Jin, Kyong-Ho Lee

    DOI : 10.1109/TII.2018.2884211

    • #Computer science
    • #Artificial intelligence
    • #Pattern recognition
    • #Real-time computing
    • #Feature extraction
    • #Manifold
    • #Convolutional neural network
    • #Visibility
    • #Task analysis
    • #Pose
    • #Multi-task learning
    • #Deep learning

All papers authored by
‘ Kyong Ho Lee ’ : 20

  • Multimodal Face-Pose Estimation With Multitask Manifold Deep Learning

    2019/07
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS

    9.1 Impact Factor

    137 citations

    Chaoqun Hong, Jun Yu, Jian Zhang, Xiongnan Jin, Kyong-Ho Lee

    DOI : 10.1109/TII.2018.2884211

    • #Computer science
    • #Artificial intelligence
    • #Pattern recognition
    • #Real-time computing
    • #Feature extraction
    • #Manifold
    • #Convolutional neural network
    • #Visibility
    • #Task analysis
    • #Pose
    • #Multi-task learning
    • #Deep learning

Related papers to
‘ Computer science ‘ : 20

  • Multimodal Face-Pose Estimation With Multitask Manifold Deep Learning

    2019/07
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS

    9.1 Impact Factor

    137 citations

    Chaoqun Hong, Jun Yu, Jian Zhang, Xiongnan Jin, Kyong-Ho Lee

    DOI : 10.1109/TII.2018.2884211

    • #Computer science
    • #Artificial intelligence
    • #Pattern recognition
    • #Real-time computing
    • #Feature extraction
    • #Manifold
    • #Convolutional neural network
    • #Visibility
    • #Task analysis
    • #Pose
    • #Multi-task learning
    • #Deep learning
  • A fast and scalable approach for IoT service selection based on a physical service model

    2017/12
    INFORMATION SYSTEMS FRONTIERS

    3.2 Impact Factor

    24 citations

    Xiongnan Jin, Sejin Chun, Jooik Jung, Kyong-Ho Lee

    DOI : 10.1007/S10796-016-9650-1

    • #Computer science
    • #Knowledge management
    • #The Internet
    • #Information system
    • #Quality of service
    • #Conceptual model
    • #Service delivery framework
    • #Business process
    • #User requirements document
    • #Differentiated service

Get access to
Contact information

Log in

All papers authored by
‘ Kyong Ho Lee ’ : 20

  • Multimodal Face-Pose Estimation With Multitask Manifold Deep Learning

    2019/07
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS

    9.1 Impact Factor

    137 citations

    Chaoqun Hong, Jun Yu, Jian Zhang, Xiongnan Jin, Kyong-Ho Lee

    DOI : 10.1109/TII.2018.2884211

    • #Computer science
    • #Artificial intelligence
    • #Pattern recognition
    • #Real-time computing
    • #Feature extraction
    • #Manifold
    • #Convolutional neural network
    • #Visibility
    • #Task analysis
    • #Pose
    • #Multi-task learning
    • #Deep learning
  • A fast and scalable approach for IoT service selection based on a physical service model

    2017/12
    INFORMATION SYSTEMS FRONTIERS

    3.2 Impact Factor

    24 citations

    Xiongnan Jin, Sejin Chun, Jooik Jung, Kyong-Ho Lee

    DOI : 10.1007/S10796-016-9650-1

    • #Computer science
    • #Knowledge management
    • #The Internet
    • #Information system
    • #Quality of service
    • #Conceptual model
    • #Service delivery framework
    • #Business process
    • #User requirements document
    • #Differentiated service

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