1 |
S.-B. Cho, et al., "AniDiary: Daily cartoon-style diary exploits Bayesian networks," IEEE Pervasive Computing, Vol.6, No.3, pp. 66-75, 2007
DOI
ScienceOn
|
2 |
E. Horvitz, et al., "Learning predictive models of memory landmarks," 26th Ann. Meeting Cognitive Science Soc., pp. 583-588, 2004
|
3 |
A. Ranganathan, et al., "Reasoning about uncertain contexts in pervasive computing environments," IEEE Pervasive Computing, Vol.3, No.2, pp. 62-70, 2004
DOI
ScienceOn
|
4 |
J.-H. Hong, et al., "Fingerprint classification using one-vs-all support vector machines dynamically ordered with naive Bayes classifiers," Pattern Recognition, Vol.41, No.2, pp. 662-671, 2008
DOI
ScienceOn
|
5 |
M. Raento, et al., "ContextPhone: A prototyping platform for context-aware mobile applications," IEEE Pervasive Computing, Vol.4, No.2, pp. 51-59, 2005
|
6 |
A. Ranganathan, et al., "ConChat: A context-aware chat program," IEEE Pervasive Computing, Vol.1, No. 3, pp. 51-57, 2002
DOI
ScienceOn
|
7 |
A. Krause, et al., "Context-aware mobile computing: Learning context-dependent personal preferences from a wearable sensor array," IEEE Trans. Mobile Computing, Vol.5, No.2, pp. 113-127, 2006
DOI
ScienceOn
|
8 |
P. Dai, et al., "Group interaction analysis in dynamic context," IEEE Trans. Systems, Man, and Cybernetics-Part B: Cybernetics, Vol.38, No.1, pp. 275-282, 2008
|
9 |
P. Korpipaa, et al., "Managing context information in mobile devices," IEEE Pervasive Computing, Vol.2, No. 3, pp. 42-51, 2003
DOI
ScienceOn
|