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arXiv · 1903.07722

Discovering Heterogeneous Subsequences for Trajectory Classification

Carlos Andres Ferrero·Lucas May Petry·Luis Otavio Alvares·Willian Zalewski·Vania Bogorny
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Abstract

In this paper we propose a new parameter-free method for trajectory classification which finds the best trajectory partition and dimension combination for robust trajectory classification. Preliminary experiments show that our approach is very promising.

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BibTeXRIS

Carlos Andres Ferrero, Lucas May Petry, Luis Otavio Alvares, Willian Zalewski, Vania Bogorny. 2019-03-18. Discovering Heterogeneous Subsequences for Trajectory Classification. https://arxiv.org/abs/1903.07722

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