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Training Image Free High-Order Stochastic Simulation Based on Aggregated Kernel Statistics
A training image free, high-order sequential simulation method is proposed herein, which is based on the efficient inference of high-order spatial statistics from the available sample data. A statistical learning framework in kernel space is adopted to develop the proposed simulation method. Specifi...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8550746/ https://www.ncbi.nlm.nih.gov/pubmed/34721727 http://dx.doi.org/10.1007/s11004-021-09923-3 |