Nojun Kwak

Nojun Kwak

Seoul National University

Professor

Graduate School of Convergence Science and Technology

Research Area

  • #Computer science
  • #Artificial intelligence
  • #Pattern recognition
  • #Mathematics
  • #Materials science
  • #Mathematical optimization
  • #Composite material
  • #Radar
  • #Applied mathematics
  • #Robustness (computer science)

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Related papers to
‘ Artificial intelligence ‘ : 6

  • Generalized mean for robust principal component analysis

    2016/06

    4.6 Impact Factor

    26 citations

    Jiyong Oh, Nojun Kwak

    DOI : 10.1016/J.PATCOG.2016.01.002

    • #Mathematics
    • #Artificial intelligence
    • #Pattern recognition
    • #Optimization problem
    • #Principal component analysis
    • #Outlier
    • #Dimensionality reduction
    • #Euclidean distance
    • #Distance measures
    • #Robust principal component analysis
    • #Generalized mean

All papers authored by
‘ Nojun Kwak ’ : 15

  • Generalized mean for robust principal component analysis

    2016/06
    PATTERN RECOGNITION

    4.6 Impact Factor

    26 citations

    Jiyong Oh, Nojun Kwak

    DOI : 10.1016/J.PATCOG.2016.01.002

    • #Mathematics
    • #Artificial intelligence
    • #Pattern recognition
    • #Optimization problem
    • #Principal component analysis
    • #Outlier
    • #Dimensionality reduction
    • #Euclidean distance
    • #Distance measures
    • #Robust principal component analysis
    • #Generalized mean

Related papers to
‘ Artificial intelligence ‘ : 6

  • Generalized mean for robust principal component analysis

    2016/06
    PATTERN RECOGNITION

    4.6 Impact Factor

    26 citations

    Jiyong Oh, Nojun Kwak

    DOI : 10.1016/J.PATCOG.2016.01.002

    • #Mathematics
    • #Artificial intelligence
    • #Pattern recognition
    • #Optimization problem
    • #Principal component analysis
    • #Outlier
    • #Dimensionality reduction
    • #Euclidean distance
    • #Distance measures
    • #Robust principal component analysis
    • #Generalized mean
  • Team SNU's Control Strategies for Enhancing a Robot's Capability: Lessons from the 2015 DARPA Robotics Challenge Finals

    2017/03
    JOURNAL OF FIELD ROBOTICS

    3.5 Impact Factor

    9 citations

    Sanghyun Kim, Mingon Kim, Jimin Lee, Soonwook Hwang, Joonbo Chae, Beomyeong Park, Hyunbum Cho, Jaehoon Sim, Jaesug Jung, Hosang Lee, Seho Shin, Minsung Kim, Wonje Choi, Yisoo Lee, Sumin Park, Jiyong Oh, Yongjin Lee, Sangkuk Lee, Myunggi Lee, Sangyup Yi, Kyong-Sok K.C. Chang, Nojun Kwak, Jaeheung Park

    DOI : 10.1002/ROB.21678

    • #Engineering
    • #Artificial intelligence
    • #Software engineering
    • #Software
    • #Robustness (computer science)
    • #Robot
    • #Architecture
    • #Robotics
    • #Software system
    • #Software architecture
    • #Modular programming

Get access to
Contact information

Log in

All papers authored by
‘ Nojun Kwak ’ : 15

  • Generalized mean for robust principal component analysis

    2016/06
    PATTERN RECOGNITION

    4.6 Impact Factor

    26 citations

    Jiyong Oh, Nojun Kwak

    DOI : 10.1016/J.PATCOG.2016.01.002

    • #Mathematics
    • #Artificial intelligence
    • #Pattern recognition
    • #Optimization problem
    • #Principal component analysis
    • #Outlier
    • #Dimensionality reduction
    • #Euclidean distance
    • #Distance measures
    • #Robust principal component analysis
    • #Generalized mean
  • Efficient $l_{1}$ -Norm-Based Low-Rank Matrix Approximations for Large-Scale Problems Using Alternating Rectified Gradient Method

    2015/02
    IEEE TRANSACTIONS ON NEURAL NETWORKS

    2.8 Impact Factor

    25 citations

    Eunwoo Kim, Minsik Lee, Chong-Ho Choi, Nojun Kwak, Songhwai Oh

    DOI : 10.1109/TNNLS.2014.2312535

    • #Mathematics
    • #Mathematical optimization
    • #Applied mathematics
    • #Matrix (mathematics)
    • #Robustness (computer science)
    • #Principal component analysis
    • #Approximation algorithm
    • #Factorization
    • #Gradient method
    • #Matrix norm
    • #Low-rank approximation

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