The hidden permutation model and location-based activity recognition

Proceedings of the National Conference on Artificial Intelligence

Volumn 3, Issue , 2008, Pages 1345-1350

  Bui, Hung H ^a   Phung, Dinh ^b   Venkatesh, Svetha ^b   Phan, Hai ^b  

^a SRI INTERNATIONAL   (United States)

^b CURTIN UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

APPLICATIONS; ARTIFICIAL INTELLIGENCE; CLASSIFIERS; DISTRIBUTION FUNCTIONS; LEARNING SYSTEMS; MARKOV PROCESSES;

ACTIVITY RECOGNITIONS; BASELINE MODELS; BAYES CLASSIFIERS; DO-MAINS; EXPONENTIAL FAMILY DISTRIBUTIONS; FEATURE FUNCTIONS; MARKOV CHAINS; MONTE CARLO; MULTINOMIAL; NOISY DATUMS; PARAMETER LEARNINGS; PARAMETERIZED; PARTIAL ORDERINGS; REAL DATUMS; STATE SEQUENCES;

BIONICS;

EID: 57749109944     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Adams, B.; Phung, D.: and Venkatesh, S. 2006. Extraction of social context and application to personal multimedia exploration. In Proceedings 14th Annual ACM International Conference on Multimedia. 987-996. ACM Press New York. NY, USA.
2. Bui, H.: Venkatesh, S.; and West, G. 2002. Policy recognition in the abstract hidden Markov model. Journal of Artificial Intelligence Research 17:451-499.
3. Dellaert, E.: Seitz, S. M.: Thorpe, E.: and Thrun, S. 2003. EM. MCMC. and chain flipping for structure from motion with unknown correspondence. Machine Learning 50(1-2):45-71.
4. Ester, M.; Kriegel, H.-P.; Sander, J.: and Xu, X. 1996. A density-based algorithm for discovering clusters in large spatial databases with noise. In Proceedings KDD-96, 226-231.
5. Kirshner, S.; Parise, S.; and Smyth, P. 2003. Unsupervised learning with permuted data. In Proceedings ICML 03, 345-352.
6. Liao, L.; Fox, D.: and Kautz, H. 2004. Learning and inferring transportation routines. In Proceedings AAAI'04.
7. Liao, L.: Fox, D.: and Kautz, H. 2005. Location-based activity recognition using relational Markov networks. In Proceedings of the International Joint Conference on Artificial intelligence (IJCAI'05).
8. Minnen, D.; Essa, I.; and Starner, T. 2003. Expectation grammars: Leveraging high-level expectations for activity recognition. In Proceedings CVPR'03.
9. Moore, D., and Essa, I. 2002. Recognizing multitasked activities using stochastic context-free grammar. In Proceedings AAAI'02.
10. Shi, Y.: Huang, Y.: Minen, D.: Bobick, A.: and Essa, I. 2004. Propagation networks for recognizing partially ordered sequential action. In Proceedings CVPR'04.
11. Tapia, E. M.: Intille, S. S.; and Larson, K. 2004. Activity recognition in the home setting using simple and ubiquitous sensors. In Proceedings PERVASIVE '04, LNCS 3001. 158-175.
12. Wilson, D. H., and Atkeson, C. 2005. Simultaneous tracking and activity recognition (STAR) using many anonymous, binary sensors. In Proceedings PERVASIVE'05.
13. Yin, J.; Chai, X.; and Yang, Q. 2004. High-level goal recognition in a wireless Ian. In Proceedings AAAI'04.