Literature DB >> 28945577

ANALYTiC: An Active Learning System for Trajectory Classification.

Amilcar Soares Junior, Chiara Renso, Stan Matwin.   

Abstract

The increasing availability and use of positioning devices has resulted in large volumes of trajectory data. However, semantic annotations for such data are typically added by domain experts, which is a time-consuming task. Machine-learning algorithms can help infer semantic annotations from trajectory data by learning from sets of labeled data. Specifically, 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.

Year:  2017        PMID: 28945577     DOI: 10.1109/MCG.2017.3621221

Source DB:  PubMed          Journal:  IEEE Comput Graph Appl        ISSN: 0272-1716            Impact factor:   2.088


  1 in total

1.  Exploring Descriptions of Movement Through Geovisual Analytics.

Authors:  Scott Pezanowski; Prasenjit Mitra; Alan M MacEachren
Journal:  KN J Cartogr Geogr Inf       Date:  2022-02-24
  1 in total

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