S2N2: An interpretive semantic structure attention neural network for trajectory classification

S2N2: An interpretive semantic structure attention neural network for trajectory classification

We have witnessed a rapid growth over past decades in sensor data mining (SDM), which aims at extracting valuable information automatically from large repositories of moving activity data. One of the significant SDM tasks is identifying humans through their transit modes using a variety of user-trac...

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Bibliographic Details
Main Authors: JIN, Canghong, TAO, Ting, LUO, Xianzhe, LIU, Zemin, WU, Minghui
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2020
Subjects:
human behavior understanding
interpretive trajectory structure
User classification
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/5143
https://ink.library.smu.edu.sg/context/sis_research/article/6146/viewcontent/09044862_pvoa.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/5143
https://ink.library.smu.edu.sg/context/sis_research/article/6146/viewcontent/09044862_pvoa.pdf

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