Browsing NTNU Open by Author "Hu, Xuke"
Now showing items 1-4 of 4
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A Data-driven Approach to Learning Salience Models of Indoor Landmarks by Using Genetic Programming
Hu, Xuke; Ding, Lei; Shang, Jianga; Fan, Hongchao; Novack, Tessio; Noskov, Alexey; Zipf, Alexander (Journal article; Peer reviewed, 2020) -
Feasibility of using Grammars to infer room semantics
Hu, Xuke; Fan, Hongchao; Noskov, Alexey; Zipf, Alexander; Wang, Zhiyong; Shang, Jianga (Journal article; Peer reviewed, 2019)Current indoor mapping approaches can detect accurate geometric information but are incapable of detecting the room type or dismiss this issue. This work investigates the feasibility of inferring the room type by using ... -
How can voting mechanisms improve the robustness and generalizability of toponym disambiguation?
Hu, Xuke; Sun, Yeran; Kersten, Jens; Zhou, Zhiyong; Klan, Friederike; Fan, Hongchao (Peer reviewed; Journal article, 2023)Natural language texts, such as tweets and news, contain a vast amount of geospatial information, which can be extracted by first recognizing toponyms in texts (toponym recognition) and then identifying their geospatial ... -
Room semantics inference using random forest and relational graph convolutional networks: A case study of research building
Hu, Xuke; Fan, Hongchao; Noskov, Alexey; Wang, Zhiyong; Zipf, Alexander; Gu, Fuqiang; Shang, Jianga (Peer reviewed; Journal article, 2020)Semantically rich maps are the foundation of indoor location-based services. Many map providers such as OpenStreetMap and automatic mapping solutions focus on the representation and detection of geometric information (e.g., ...