Spline Features

Spline Features is a mathematical transformation technique in polynomial feature expansion that uses piecewise polynomials with smooth continuity constraints at specified knots to model nonlinear relationships, distinguished from global polynomial methods by its localized fitting capability.

8

Publications

5.1K

Citations

24

Authors

9

Institutions

Publications per year

2017–2026

2

Authors

24

  1. KG
    Konstantinos G. Derpanis

    York University, Canada

    1 publications · 18 citations

    1

    h-index

  2. HY
    Hiromitsu Yamada

    University of Tsukuba, Japan

    1 publications · 49 citations

    1

    h-index

  3. ET
    Erich T. H. Leung

    York University, Canada

    1 publications · 18 citations

    1

    h-index

  4. KY
    Kazuhiko Yamamoto

    Nara Medical University, Japan

    1 publications · 49 citations

    1

    h-index

  5. FL
    Fred L. Bookstein

    University of Michigan, United States

    1 publications · 4.9K citations

    1

    h-index

1–5 of 24

Venues

  1. 1

    h-index

  2. Pattern Recognition

    1 publications · 49 citations

    1

    h-index

  3. The Visual Computer

    1 publications · 59 citations

    1

    h-index

  4. Journal of Bryology

    1 publications · 10 citations

    1

    h-index

  5. Russian Technological Journal

    1 publications · 11 citations

    1

    h-index

1–5