Feature Transformation
Feature Transformation is a data preprocessing technique within feature engineering that involves applying mathematical functions to existing features to improve model performance by altering their scale, distribution, or structure while preserving their semantic meaning.
734
Publications
104.7K
Citations
2.4K
Authors
797
Institutions
Publications per year
2017–2026
392
734
GhostNet: More Features From Cheap Operations
Kai Han, Yunhe Wang, Qi Tian et al. · 2020 · 4.4K citations
Random Features for Large-Scale Kernel Machines
Ali Rahimi, Benjamin Recht · 2007 · 2.7K citations
Recovering Realistic Texture in Image Super-Resolution by Deep Spatial Feature Transform
Xintao Wang, Ke Yu, Chao Dong et al. · 2018 · 1.1K citations
PointCNN: convolution on Χ -transformed points
Yangyan Li, Rui Bu, Mingchao Sun et al. · 2018 · 761 citations
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797
Tsinghua University
Beijing, China
13 h-index
43 publications
2.3K citations

Peking University
Beijing, China
13 h-index
33 publications
7.1K citations

Chinese Academy of Sciences
Beijing, China
12 h-index
36 publications
1.4K citations

University of Electronic Science and Technology of China
Chengdu, China
11 h-index
41 publications
3.1K citations
University of Chinese Academy of Sciences
Beijing, China
11 h-index
25 publications
1.1K citations
Nanyang Technological University
Singapore, Singapore
10 h-index
35 publications
2K citations
National University of Singapore
Singapore, Singapore
10 h-index
22 publications
877 citations
Dalian University of Technology
Dalian, China
10 h-index
29 publications
858 citations
1–8 of 797
Repository · 60 publications · 3.9K citations
31
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16 publications · 961 citations
15
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12 publications · 809 citations
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Conference · 11 publications · 989 citations
11
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10 publications · 1.6K citations
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