Discovering Heterogeneous Subsequences for Trajectory Classification

18 Mar 2019  ·  Carlos Andres Ferrero, Lucas May Petry, Luis Otavio Alvares, Willian Zalewski, Vania Bogorny ·

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.

PDF Abstract

Code
Add Remove Mark official

No code implementations yet. Submit your code now

Datasets

Gowalla

Results from the Paper
Edit

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods
Add Remove

No methods listed for this paper. Add relevant methods here
Contact us on: hello@paperswithcode.com . Papers With Code is a free resource with all data licensed under CC-BY-SA.
Terms Data policy Cookies policy