Reducing the Computational Complexity of the Eccentricity Transform of a Tree
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-42795-4_15
Reference13 articles.
1. Aouada, D., Dreisigmeyer, D.W., Krim, H.: Geometric modeling of rigid and non-rigid 3D shapes using the global geodesic function. In: 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp. 1–8 (2008)
2. Banaeyan, M., Carratù, C., Kropatsch, W.G., Hladůvka, J.: Fast distance transforms in graphs and in gmaps. In: IAPR Joint International Workshops on Statistical Techniques in Pattern Recognition (SPR 2022) and Structural and Syntactic Pattern Recognition (SSPR 2022), Lecture Notes in Computer Science, Montreal, Canada, 26–27 August 2022, pp. 193–202. Springer, Heidelberg (2022). https://doi.org/10.1007/978-3-031-23028-8_20
3. Banaeyan, M., Kropatsch, W.G.: Parallel $$\cal{O} (log(n))$$ computation of the adjacency of connected components. In: International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI), Paris, France, 1–3 June 2022, pp. 102–113. Springer, Heidelberg (2022). https://doi.org/10.1007/978-3-031-09282-4_9
4. Banaeyan, M., Kropatsch, W.G.: Distance transform in parallel logarithmic complexity. In: Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - ICPRAM, pp. 115–123 (2023). https://doi.org/10.5220/0011681500003411
5. Ion, A.: The eccentricity transform of n-dimensional shapes with and without boundary. Ph.D. thesis, Vienna University of Technology, phD (2009)
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