Data Encoding
Data Encoding is a data transformation technique that systematically converts categorical or unstructured data into numerical or binary representations to enable computational processing and analysis within machine learning and data preprocessing pipelines.
234
Publications
12.9K
Citations
794
Authors
353
Institutions
Publications per year
2017–2026
99
234
StegaStamp: Invisible Hyperlinks in Physical Photographs
Matthew Tancik, Ben Mildenhall, Ren Ng · 2020 · 434 citations
1–5 of 234
794
5
h-index
4
h-index
4
h-index
3
h-index
3
h-index
1–5 of 794
353
Tsinghua University
Beijing, China
5 h-index
14 publications
765 citations
Turku Centre for Computer Science
Turku, Finland
5 h-index
6 publications
115 citations

University of Rochester
Rochester, United States
5 h-index
11 publications
292 citations

KTH Royal Institute of Technology
Stockholm, Sweden
4 h-index
7 publications
136 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
4 h-index
11 publications
1.4K citations

Monash University
Melbourne, Australia
4 h-index
10 publications
464 citations

University of Turku
Turku, Finland
4 h-index
4 publications
71 citations

Chinese Academy of Sciences
Beijing, China
4 h-index
16 publications
489 citations
1–8 of 353
Repository · 6 publications · 230 citations
6
h-index
6 publications · 139 citations
6
h-index
4 publications · 137 citations
4
h-index
3 publications · 115 citations
3
h-index
3 publications · 622 citations
3
h-index
1–5