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.
ANALYTiC: An Active Learning System for Trajectory Classification
Renso C;
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.File in questo prodotto:
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Descrizione: ANALYTiC: An Active Learning System for Trajectory Classification
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Descrizione: ANALYTiC: An Active Learning System for Trajectory Classification
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