Vector Embedding

Vector Embedding is a mathematical representation that maps discrete data elements into a continuous vector space such that semantic relationships and structural similarities among the elements are preserved through relative position and distance.

166

Publications

15.7K

Citations

569

Authors

235

Institutions

Publications per year

2017–2026

126

Variants

Vector Representations

Authors

569

  1. SS
    Steven Schockaert

    Cardiff University, United Kingdom

    4 publications · 91 citations

    4

    h-index

  2. HY
    Hongxia Yang

    Alibaba Group (China), China

    3 publications · 197 citations

    3

    h-index

  3. XH
    Xia Hu

    Texas A&M University, United States

    3 publications · 190 citations

    3

    h-index

  4. HJ
    Hervé Jeǵou

    Institut national de recherche en sciences et technologies du numérique, France

    3 publications · 386 citations

    3

    h-index

  5. FP
    Florent Perronnin

    Xerox (France), France

    3 publications · 84 citations

    3

    h-index

1–5 of 569

Venues

  1. arXiv (Cornell University)

    Repository · 21 publications · 2.3K citations

    18

    h-index

  2. Expert Systems with Applications

    4 publications · 86 citations

    4

    h-index

  3. 4

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 3 publications · 71 citations

    3

    h-index

  5. Pattern Recognition

    3 publications · 155 citations

    3

    h-index

1–5