Deep Siamese Metric Learning: A Highly Scalable Approach to Searching Unordered Sets of Trajectories

This work proposes metric learning for fast similarity-based scene retrieval of unstructured ensembles of trajectory data from large databases. We present a novel representation learning approach using Siamese Metric Learning that approximates a distance preserving low-dimensional representation and...

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Veröffentlicht in:	ACM transactions on intelligent systems and technology 2022-02, Vol.13 (1), p.1-23
Hauptverfasser:	Löffler, Christoffer, Reeb, Luca, Dzibela, Daniel, Marzilger, Robert, Witt, Nicolas, Eskofier, Björn M., Mutschler, Christopher
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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