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» Mining Personally Important Places from GPS Tracks
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ICDE
2007
IEEE
169views Database» more  ICDE 2007»
10 years 7 months ago
Mining Personally Important Places from GPS Tracks
The discovery of a person’s personally important places involves obtaining the physical locations for a person’s places that matter to his daily life and routines. This proble...
Changqing Zhou, Nupur Bhatnagar, Shashi Shekhar, L...
IJRR
2007
186views more  IJRR 2007»
10 years 1 months ago
Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract a person’s activities and significant plac...
Lin Liao, Dieter Fox, Henry A. Kautz
ICRA
2009
IEEE
188views Robotics» more  ICRA 2009»
9 years 11 months ago
Mining GPS data for extracting significant places
This paper presents a fast and robust algorithm for extracting significant places from a set of raw GPS data points. Determining such places provides valuable context information ...
Gabriel Agamennoni, Juan Nieto, Eduardo Mario Nebo...
WWW
2009
ACM
11 years 2 months ago
Mining interesting locations and travel sequences from GPS trajectories
The increasing availability of GPS-enabled devices is changing the way people interact with the Web, and brings us a large amount of GPS trajectories representing people's lo...
Yu Zheng, Lizhu Zhang, Xing Xie, Wei-Ying Ma
IEEECIT
2010
IEEE
9 years 12 months ago
Term Weighting Approaches for Mining Significant Locations from Personal Location Logs
In this paper, we describe experiments into the application of term weighting techniques from text retrieval to support the automatic identification of significant locations from ...
Zhengwei Qiu, Cathal Gurrin, Aiden R. Doherty, Ala...
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