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Discrete Geodesic Distribution-Based Graph Kernel for 3D Point Clouds
In the structural analysis of discrete geometric data, graph kernels have a great track record of performance. Using graph kernel functions provides two significant advantages. First, a graph kernel is capable of preserving the graph’s topological structures by describing graph properties in a high-...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007318/ https://www.ncbi.nlm.nih.gov/pubmed/36904604 http://dx.doi.org/10.3390/s23052398 |