Vector Smoothing
Vector Smoothing is a computational method in vector modeling that refines high-dimensional vector representations by reducing noise and variability through weighted averaging or regularization techniques to enhance semantic coherence and representation stability.
12
Publications
404
Citations
30
Authors
16
Institutions
Publications per year
2017–2026
3
Parents
12
1–5 of 12
30
2
h-index
2
h-index
1
h-index
1
h-index
1
h-index
1–5 of 30
16

Utah State University
Logan, United States
1 h-index
4 publications
88 citations
NTT (Japan)
Tokyo, Japan
1 h-index
2 publications
82 citations

Shanghai Jiao Tong University
Shanghai, China
1 h-index
4 publications
52 citations

Nagoya Institute of Technology
Nagoya, Japan
1 h-index
1 publications
80 citations
PLA Air Force Aviation University
Changchun, China
1 h-index
2 publications
54 citations

Chung-Ang University
Seoul, South Korea
1 h-index
1 publications
21 citations
United States Army
Arlington, United States
1 h-index
1 publications
22 citations
University of Portsmouth
Portsmouth, United Kingdom
1 h-index
1 publications
28 citations
1–8 of 16
1 publications · 22 citations
1
h-index
1 publications · 12 citations
1
h-index
1 publications · 13 citations
1
h-index
1 publications · 13 citations
1
h-index
1 publications · 17 citations
1
h-index
1–5