Platys: User-centric place recognition

AAAI Workshop - Technical Report

Volumn WS-13-05, Issue , 2013, Pages 14-20

  Hang, Chung Wei ^a   Murukannaiah, Pradeep K ^a   Singh, Munindar P ^a  

^a NORTH CAROLINA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MANUAL TUNING; MOBILE APPLICATIONS; PARAMETER-TUNING; PLACE RECOGNITION; SEMI-SUPERVISED; SENSOR READINGS; SPECIFIC SENSORS; TRADITIONAL APPROACHES;

SENSORS;

EID: 84898908253     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. Ashbrook, D., and Starner, T. 2002. Learning significant locations and predicting user movement with GPS. In Proceedings of the 6th International Symposium on Wearable Computers (ISWC), 101-108. Seattle, WA, USA: IEEE Computer Society.
2. Davies, N.; Siewiorek, D. P.; and Sukthankar, R. 2008. Activity-based computing. IEEE Pervasive Computing 7(2):20-21.
3. Dempster, A. P.; Laird, N. M.; and Rubin, D. B. 1977. Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society. Series B (Methodological) 39(1):1-38.
4. Hariharan, R., and Toyama, K. 2004. Project Lachesis: Parsing and modeling location histories. In Proceedings of the 3rd International Conference on Geographic Information Science (GIScience), 106-124. Springer.
5. Hightower, J.; Consolvo, S.; LaMarca, A.; Smith, I. E.; and Hughes, J. 2005. Learning and recognizing the places we go. In Proceedings of the 7th International Conference on Ubiquitous Computing (Ubicomp), volume 3660 of Lecture Notes in Computer Science, 159-176. Tokyo, Japan: Springer.
6. Kang, J. H.; Welbourne, W.; Stewart, B.; and Borriello, G. 2005. Extracting places from traces of locations. SIGMOBILE Mobile Computing Communications Review 9(3):58-68.
7. Kim, D. H.; Kim, Y.; Estrin, D.; and Srivastava, M. B. 2010. SensLoc: sensing everyday places and paths using less energy. In Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems (SenSys), 43-56. Zurich, Switzerland: ACM Press.
8. Lin, D. 1998. An information-theoretic definition of similarity. In Proceedings of the 15th International Conference on Machine Learning (ICML), 296-304. Madison, WI, USA: Morgan Kaufmann.
9. Murukannaiah, P. K., and Singh, M. P. 2012a. Platys: An empirically evaluated middleware for place-aware application development. http://www.csc.ncsu.edu/faculty/mpsingh/papers/tmp/Platys-developer.pdf.
10. Murukannaiah, P. K., and Singh, M. P. 2012b. Platys Social: Relating shared places and private social circles. IEEE Internet Computing 16(3):53-59.
11. Scellato, S.; Musolesi, M.; Mascolo, C.; Latora, V.; and Campbell, A. T. 2011. NextPlace: A spatio-temporal prediction framework for pervasive systems. In Proceedings of the 9th International Conference on Pervasive Computing, volume 6696 of Lecture Notes in Computer Science, 152-169. San Francisco, CA, USA: Springer.
12. Vu, L.; Do, Q.; and Nahrstedt, K. 2011. Jyotish: Constructive approach for context predictions of people movement from joint Wifi/Bluetooth trace. Pervasive and Mobile Computing 7(6):690-704.
13. Yang, Y., and Liu, X. 1999. A re-examination of text categorization methods. In Proceedings of the 22nd Annual International ACM Conference on Research and Development in Information Retrieval (SIGIR), 42-49. Berkeley, CA, USA: ACM Press.
14. Zheng, Y.; Zhang, L.; Ma, Z.; Xie, X.; and Ma, W.-Y. 2011. Recommending friends and locations based on individual location history. ACM Transactions on the Web (TWEB) 5(1):5:1-5:29.
15. Zhou, C.; Frankowski, D.; Ludford, P. J.; Shekhar, S.; and Terveen, L. G. 2007. Discovering personally meaningful places: An interactive clustering approach. ACM Transactions on Information Systems (TOIS) 25(3):12:1-12:31.