Data di Pubblicazione:
2017
Abstract:
Machine-learning algorithms can help to infer semantic annotations from trajectory data by learning from sets of labeled data. Speci cally, active learning approaches can minimize the set of trajectories to be annotated while preserving good performance measures. The ANALYTiC web- based interactive tool visually guides users through this annotation process.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Active learning; Trajectory annotation
Elenco autori:
Renso, Chiara
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