MARC: a robust method for multiple-aspect trajectory classification via space, time, and semantic embeddings
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DOI: 10.1080/13658816.2019.1707835
Abstract: ABSTRACT The increasing popularity of Location-Based Social Networks (LBSNs) and the semantic enrichment of mobility data in several contexts in the last years has led to the generation of large volumes of trajectory data. In… read more here.
Keywords: space time; multiple aspect; trajectory classification;
ANALYTiC: An Active Learning System for Trajectory Classification
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DOI: 10.1109/mcg.2017.3621221
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… read more here.
Keywords: active learning; learning; learning system; system trajectory ... See more keywords