YoonSik Choi

YoonSik Choi

Yonsei University

Professor

School of Electrical and Electronic Engineering

Research Area

  • #Artificial intelligence
  • #Computer science
  • #Pattern recognition
  • #Computer vision
  • #Algorithm
  • #Matrix (mathematics)
  • #Source separation
  • #Sparse matrix
  • #Physics
  • #Mathematics

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Related papers to
‘ Artificial intelligence ‘ : 6

  • Robust PCA Based on Incoherence With Geometrical Interpretation

    2018/01

    6.8 Impact Factor

    10 citations

    Jieun Lee, Yoonsik Choe

    DOI : 10.1109/TIP.2018.2790481

    • #Mathematics
    • #Artificial intelligence
    • #Algorithm
    • #Pattern recognition
    • #Matrix (mathematics)
    • #Kernel (linear algebra)
    • #Source separation
    • #Sparse matrix
    • #Linear algebra
    • #Matrix norm
    • #Tangent space
    • #Robust principal component analysis

All papers authored by
‘ YoonSik Choi ’ : 7

  • Robust PCA Based on Incoherence With Geometrical Interpretation

    2018/01
    IEEE TRANSACTIONS ON IMAGE PROCESSING

    6.8 Impact Factor

    10 citations

    Jieun Lee, Yoonsik Choe

    DOI : 10.1109/TIP.2018.2790481

    • #Mathematics
    • #Artificial intelligence
    • #Algorithm
    • #Pattern recognition
    • #Matrix (mathematics)
    • #Kernel (linear algebra)
    • #Source separation
    • #Sparse matrix
    • #Linear algebra
    • #Matrix norm
    • #Tangent space
    • #Robust principal component analysis

Related papers to
‘ Artificial intelligence ‘ : 6

  • Robust PCA Based on Incoherence With Geometrical Interpretation

    2018/01
    IEEE TRANSACTIONS ON IMAGE PROCESSING

    6.8 Impact Factor

    10 citations

    Jieun Lee, Yoonsik Choe

    DOI : 10.1109/TIP.2018.2790481

    • #Mathematics
    • #Artificial intelligence
    • #Algorithm
    • #Pattern recognition
    • #Matrix (mathematics)
    • #Kernel (linear algebra)
    • #Source separation
    • #Sparse matrix
    • #Linear algebra
    • #Matrix norm
    • #Tangent space
    • #Robust principal component analysis
  • Efficient image enhancement using sparse source separation in the Retinex theory

    2017/11
    OPTICAL ENGINEERING

    1.0 Impact Factor

    2 citations

    Jongsu Yoon, Jangwon Choi, Yoonsik Choe

    DOI : 10.1117/1.OE.56.11.113103

    • #Physics
    • #Artificial intelligence
    • #Computer vision
    • #Machine vision
    • #Locality
    • #Color vision
    • #Source separation
    • #Color constancy
    • #Global illumination
    • #Machine vision system

Get access to
Contact information

Log in

All papers authored by
‘ YoonSik Choi ’ : 7

  • Robust PCA Based on Incoherence With Geometrical Interpretation

    2018/01
    IEEE TRANSACTIONS ON IMAGE PROCESSING

    6.8 Impact Factor

    10 citations

    Jieun Lee, Yoonsik Choe

    DOI : 10.1109/TIP.2018.2790481

    • #Mathematics
    • #Artificial intelligence
    • #Algorithm
    • #Pattern recognition
    • #Matrix (mathematics)
    • #Kernel (linear algebra)
    • #Source separation
    • #Sparse matrix
    • #Linear algebra
    • #Matrix norm
    • #Tangent space
    • #Robust principal component analysis
  • Efficient image enhancement using sparse source separation in the Retinex theory

    2017/11
    OPTICAL ENGINEERING

    1.0 Impact Factor

    2 citations

    Jongsu Yoon, Jangwon Choi, Yoonsik Choe

    DOI : 10.1117/1.OE.56.11.113103

    • #Physics
    • #Artificial intelligence
    • #Computer vision
    • #Machine vision
    • #Locality
    • #Color vision
    • #Source separation
    • #Color constancy
    • #Global illumination
    • #Machine vision system

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