Sparse Mapping

Sparse Mapping is a mapping technique that belongs to the class of representation methods in which the derived map contains significantly fewer data points or features than the original space, distinguished by its emphasis on preserving only the most relevant or salient structural information.

63

Publications

5.7K

Citations

203

Authors

100

Institutions

Publications per year

2017–2026

25

Authors

203

  1. YM
    Yasamin Mostofi

    University of California, Santa Barbara, United States

    3 publications · 107 citations

    3

    h-index

  2. JD
    Jason D. McEwen

    University College London, United Kingdom

    2 publications · 38 citations

    2

    h-index

  3. PN
    Paul Newman

    University of Oxford, United Kingdom

    2 publications · 632 citations

    2

    h-index

  4. MA
    Matt A. Price

    International AIDS Vaccine Initiative, United States

    2 publications · 38 citations

    2

    h-index

  5. HS
    Hanumant Singh

    Woods Hole Oceanographic Institution, United States

    2 publications · 457 citations

    2

    h-index

1–5 of 203

Venues

  1. 3

    h-index

  2. IEEE Transactions on Robotics

    2 publications · 330 citations

    2

    h-index

  3. The International Journal of Robotics Research

    IJRR · 2 publications · 773 citations

    2

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 112 citations

    2

    h-index

  5. SIAM Journal on Mathematical Analysis

    1 publications · 47 citations

    1

    h-index

1–5