Výsledky vyhledávání - "Oscar Lijen Hsu"

Akademický článek

Common Sub-Trajectory Clustering via Hypercubes in Spatiotemporal Space

Publikováno v: IEEE Access, Vol 8, Pp 23369-23377 (2020)

Conventional sub-trajectory clustering is used to identify similarities among multiple trajectories. Existing methods tend to overlook many of the relevant sub-trajectories; others require a road network as input; all are significantly slowed down co

Externí odkaz: https://doaj.org/article/5b111cbbc9e54e6380c4f9f9c97b3fe2

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Hypercubes clustering: a machine learning method for efficiently finding common sub-trajectories in spatiotemporal space and constructing trajectories models for prediction

Autor: Oscar LiJen Hsu

Common sub-trajectory clustering is to find similar trajectory segments. Existing clustering methods tend to overlook many of the relevant sub-trajectories; others require a road network as input; all are significantly slowed down considerably by lar

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b537ead7f98eea579cfa07e147db969
https://doi.org/10.36227/techrxiv.16884844

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HyperETA: An Estimated Time of Arrival Method based on Hypercube Clustering

Autor: Oscar LiJen Hsu

The Estimated Time of Arrival (ETA) that predict the travel time of a given GPS trajectory has been extensively used in route planning. Deep learning has been widely applied to ETA prediction. However, prediction tasks involve some challenges, such a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::422e089e9879d1634bfeb83f0b7682ad
https://doi.org/10.36227/techrxiv.14138618

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