Simple Distances for Trajectories via Landmarks

Author:

Phillips Jeff M.1,Tang Pingfan1

Affiliation:

1. School of Computing, University of Utah., Salt Lake City, Utah, USA

Funder

NSF

Publisher

ACM

Reference17 articles.

1. Maria Astefanoaei Paul Cesaretti Panagiota Katsikouli and Mayank Goswami and Rik Sarkar. 2018. Multi-resolution sketches and locality sensitive hashing for fast trajectory processing. In SIGSPATIAL. Maria Astefanoaei Paul Cesaretti Panagiota Katsikouli and Mayank Goswami and Rik Sarkar. 2018. Multi-resolution sketches and locality sensitive hashing for fast trajectory processing. In SIGSPATIAL.

2. Lei Chen M. Tamer Özsu and Vincent Oria. 2005. Robust and fast similarity search for moving object trajectories.. In SIGMOD. Lei Chen M. Tamer Özsu and Vincent Oria. 2005. Robust and fast similarity search for moving object trajectories.. In SIGMOD.

3. Michael O. Cruz Hendrik Macedo R. Barreto and Adolfo Guimaraes. 2016. GPS Trajectories Data Set. https://archive.ics.uci.edu/ml/datasets/GPS+Trajectories Michael O. Cruz Hendrik Macedo R. Barreto and Adolfo Guimaraes. 2016. GPS Trajectories Data Set. https://archive.ics.uci.edu/ml/datasets/GPS+Trajectories

4. Yixiang Fang Reynold Cheng Wenbin Tang Silviu Maniu and Xuan S. Yang:. 2016. Scalable algorithms for nearest-neighbor joins on big trajectory data. In ICDE. Yixiang Fang Reynold Cheng Wenbin Tang Silviu Maniu and Xuan S. Yang:. 2016. Scalable algorithms for nearest-neighbor joins on big trajectory data. In ICDE.

5. Elias Frentzos Kostas Gratsias Nikos Pelekis and Yannis Theodoridis. 2005. Nearest Neighbor Search on Moving Object Trajectories. In SSTD. Elias Frentzos Kostas Gratsias Nikos Pelekis and Yannis Theodoridis. 2005. Nearest Neighbor Search on Moving Object Trajectories. In SSTD.

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1. Spatio-Temporal Trajectory Similarity Measures: A Comprehensive Survey and Quantitative Study;IEEE Transactions on Knowledge and Data Engineering;2023

2. An experimental study on classifying spatial trajectories;Knowledge and Information Systems;2022-12-20

3. Movement Analytics: Current Status, Application to Manufacturing, and Future Prospects from an AI Perspective;2022-10-11

4. Simple Distances for Trajectories via Landmarks;Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems;2019-11-05

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