Stochastic Pattern Generation
Stochastic Pattern Generation is a pattern generation method that belongs to the class of generative techniques relying on probabilistic models, distinguished by its use of randomness and statistical distributions to produce variable, non-deterministic output patterns.
47
Publications
2.7K
Citations
130
Authors
69
Institutions
Publications per year
2017–2026
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University of California, Berkeley
Berkeley, United States
2 h-index
7 publications
328 citations

The University of Western Australia
Perth, Australia
2 h-index
3 publications
131 citations

University of Groningen
Groningen, The Netherlands
2 h-index
4 publications
1.5K citations

Ural Federal University
Yekaterinburg, Russia
2 h-index
4 publications
46 citations
University of Oxford
Oxford, United Kingdom
1 h-index
1 publications
55 citations
CSIRO Land and Water
Canberra, Australia
1 h-index
1 publications
44 citations
General Electric (United States)
Boston, United States
1 h-index
2 publications
150 citations
University of Ferrara
Ferrara, Italy
1 h-index
1 publications
30 citations
1–8 of 69
4 publications · 171 citations
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2 publications · 164 citations
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TPAMI · 2 publications · 744 citations
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1 publications · 16 citations
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1 publications · 53 citations
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