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Exploiting Multiple Radii to Learn Significant Locations
4 references·2 citing·19 second hop
Exploiting Multiple Radii to Learn Significant Locations (2005)Exploiting Multiple Radii to Learn Signif…Learning and inferring transportation routines (2007)Learning and inferring transp…Using GPS to learn significant locations and predict movement across multiple users (2003)Using GPS to learn significan…Learning significant locations and predicting user movement with GPS (2003)Learning significant location…Inferring High-Level Behavior from Low-Level Sensors (2003)Inferring High-Level Behavior…A Probabilistic Place Extraction Algorithm Based on a Superstate Model (2012)A Probabilistic Place Extract…Identifying meaningful locations (2006)Identifying meaningful locati…The Museum Wearable: real-time sensor-driven understanding of visitors' interests for personalized visually-augmented museum experiences (2002)Understanding mobility based on GPS data (2008)Space and Place: The Perspective of Experience (1978)Space and Place: The Perspective of Experience (1979)An Automatic Wi-Fi-Based Approach for Extraction of User Places and Their Context (2015)Elimination of the Travel Diary: Experiment to Derive Trip Purpose from Global Positioning System Travel Data (2001)Discovering personally meaningful places (2007)Analysis of human mobility patterns from GPS trajectories and contextual information (2015)A survey on deep learning for human mobility (2023)Identity Theory and Social Identity Theory (2000)The Past, Present, and Future of an Identity Theory (2000)Reality mining: sensing complex social systems (2005)SerPens: A Tool for Semantically Enriched Location Information on Personal Devices (2008)Constructing signs:Placeas a symbolic structure in signed languages (2016)An Unsupervised and Noninvasive Model for Predicting Network Resource Demands (2018)Learning transportation mode from raw gps data for geographic applications on the web (2008)Eigenbehaviors: identifying structure in routine (2009)Understanding transportation modes based on GPS data for web applications (2010)PEIR, the personal environmental impact report, as a platform for participatory sensing systems research (2009)
this work references cited by second hop

References

  • 2003Using GPS to learn significant locations and predict movement across multiple users1,060 cited
  • 2007Learning and inferring transportation routines798 cited
  • 2003Inferring High-Level Behavior from Low-Level Sensors521 cited
  • 2003Learning significant locations and predicting user movement with GPS334 cited

Cited by

  • 2006Identifying meaningful locations12 cited
  • 2012A Probabilistic Place Extraction Algorithm Based on a Superstate Model8 cited

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