Vector Interpolation
Vector Interpolation is a computational method in vector modeling that estimates intermediate vector representations between two or more given vectors by applying weighted averaging or geodesic traversal within a continuous vector space, preserving semantic or geometric relationships inherent to the embedding structure.
29
Publications
974
Citations
69
Authors
37
Institutions
Publications per year
2017–2026
3
Parents
29
Cluster adaptive training for deep neural network
Tian Tan, Yanmin Qian, Maofan Yin et al. · 2015 · 71 citations
1–5 of 29
69
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2 publications · 28 citations
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2
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1–5 of 69
37

Tulane University
New Orleans, United States
2 h-index
7 publications
396 citations
Aristotle University of Thessaloniki
Thessaloniki, Greece
2 h-index
3 publications
42 citations

Lawrence Livermore National Laboratory
Livermore, United States
2 h-index
2 publications
41 citations
University of Akron
Akron, United States
1 h-index
1 publications
13 citations

University of Coimbra
Coimbra, Portugal
1 h-index
1 publications
42 citations

Democritus University of Thrace
Komotini, Greece
1 h-index
1 publications
14 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
1 h-index
4 publications
140 citations

University of Hawaiʻi at Mānoa
Honolulu, United States
1 h-index
1 publications
87 citations
1–8 of 37
PRB · 2 publications · 78 citations
2
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PRB · 1 publications · 76 citations
1
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1 publications · 11 citations
1
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1 publications · 17 citations
1
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Repository · 1 publications · 18 citations
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