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ANALYTiC: An Active Learning System for Trajectory Classification

Academic Article
Publication Date:
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.
Iris type:
01.01 Articolo in rivista
Keywords:
Active learning; Trajectory annotation
List of contributors:
Renso, Chiara
Authors of the University:
RENSO CHIARA
Handle:
https://iris.cnr.it/handle/20.500.14243/344702
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/344702/160280/prod_384697-doc_168797.pdf
Published in:
IEEE COMPUTER GRAPHICS AND APPLICATIONS (ONLINE)
Journal
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URL

http://ieeexplore.ieee.org/document/8047427/
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