ANALYTiC: An Active Learning System for Trajectory Classification

作者:Soares Amilcar Jr*; Renso Chiara; Matwin Stan
来源:IEEE Computer Graphics and Applications, 2017, 37(5): 28-39.
DOI:10.1109/mcg.2017.3621221

摘要

Machine-learning algorithms can help to 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.

  • 出版日期2017-10