Curve Smoothing

Curve Smoothing is a computational method in curve modeling that reduces noise or irregularities in a curve while preserving its essential shape, specifically through techniques that enhance visual clarity and continuity in the context of parallel coordinates.

338

Publications

49.3K

Citations

699

Authors

325

Institutions

Publications per year

2017–2026

43

Authors

699

  1. WK
    Wolfgang Karl Härdle

    Humboldt-Universität zu Berlin, Germany

    7 publications · 1.1K citations

    6

    h-index

  2. DM
    D. M. Titterington

    University of Glasgow, United Kingdom

    4 publications · 160 citations

    4

    h-index

  3. AY
    Anthony Yezzi

    Georgia Institute of Technology, United States

    4 publications · 1K citations

    4

    h-index

  4. JS
    J. S. Marron

    University of North Carolina at Chapel Hill, United States

    4 publications · 667 citations

    4

    h-index

  5. BW
    B. W. Silverman

    University of Bath, United Kingdom

    4 publications · 2.3K citations

    4

    h-index

1–5 of 699

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 15 publications · 1.9K citations

    15

    h-index

  2. Computer-Aided Design and Applications

    18 publications · 444 citations

    13

    h-index

  3. Journal of the American Statistical Association

    12 publications · 15.4K citations

    11

    h-index

  4. Technometrics

    8 publications · 627 citations

    8

    h-index

  5. Computer Aided Geometric Design

    8 publications · 381 citations

    8

    h-index

1–5