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This work presents an analysis of Higher Order Singular Value Decomposition (HO-SVD) applied to lossy compression of 3D mesh animations. We describe strategies for choosing a number of preserved spatial and temporal components after tensor decomposit
Externí odkaz:
http://arxiv.org/abs/1310.1240
This work presents an analysis of Higher Order Singular Value Decomposition (HO-SVD) applied to lossy compression of 3D mesh animations. We describe strategies for choosing a number of preserved spatial and temporal components after tensor decomposit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::367dc428f8a19fdb55358ccf090c4bb9
http://arxiv.org/abs/1310.1240
http://arxiv.org/abs/1310.1240
Publikováno v:
Artificial Intelligence & Soft Computing: 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014, Proceedings, Part I; 2014, p757-768, 12p
Publikováno v:
Gesture & Sign Language in Human-Computer Interaction & Embodied Communication; 2012, p24-35, 12p
Publikováno v:
Journal of Artificial Intelligence and Soft Computing Research; October 2013, Vol. 3 Issue: 4 p277-289, 13p
Publikováno v:
Artificial Intelligence & Soft Computing: 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014, Proceedings, Part II; 2014, p1-1, 1p
Autor:
Leszek Rutkowski, Marcin Korytkowski, Rafał Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada
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