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PreviewIssue DateTitleAuthor(s)
2008Middleware architecture evaluation for dependable self-managing systemsLiu, Y.; Babar, M.; Gorton, I.; Becker, S.; Plasil, F.; Reussner, R.; 4th International Conference on the Quality of Software-Architectures (QoSA 2008) (14 Oct 2008 - 17 Oct 2008 : Karlsruhe, Germany)
2008Middleware for distributed video surveillanceDetmold, H.; Van Den Hengel, A.; Dick, A.; Falkner, K.; Munro, D.; Morrison, R.
2006Middleware for video surveillance networksDetmold, H.; Dick, A.; Falkner, K.; Munro, D.; Van Den Hengel, A.; Morrison, R.; Cahill, V.; Michiels, S.; International Workshop on Middleware for Sensor Networks (2006 : Melbourne, Australia)
2011Migrating service-oriented system to cloud computing: an experience reportChauhan, M.; Babar, M.; 4th International Conference on Cloud Computing (4 Jul 2011 - 9 Jul 2011 : Washington, DC)
2019Minimizing maximum movement of sensors for line barrier coverage in the planeLi, S.; Shen, H.
2015Minimizing the maximum sensor movement for barrier coverage in the planeLi, S.; Shen, H.; 34th IEEE Conference on Computer Communications (INFOCOM) (26 Apr 2015 - 1 May 2015 : Kowloon)
2016Minimizing the maximum sensor movement towards grid points for barrier coverageLi, S.; Shen, H.; Shen, H.; Sang, Y.; Huang, H.; Seventh International Symposium on Parallel Architectures, Algorithms and Programming (12 Dec 2015 - 14 Dec 2015 : Nanjing, China)
2009Minimum Bayes error features for visual recognitionCarneiro, G.; Vasconcelos, N.
2005Minimum Bayes error features for visual recognition by sequential feature selection and extractionCarneiro, G.; Vasconcelos, N.; Canadian Conference on Computer and Robot Vision (2nd : 2005 : Victoria, British Columbia)
2005Minimum parent-offspring recombination haplotype inference in pedigreesZhang, Q.; Chin, F.; Shen, H.
2016Mining actionable knowledge using reordering based diversified actionable decision treesSubramani, S.; Wang, H.; Balasubramaniam, S.; Zhou, R.; Ma, J.; Zhang, Y.; Whittaker, F.; Zhao, Y.; Rangarajan, S.; Cellary, W.; Mokbel, M.; Wang, J.; Wang, H.; Zhou, R.; Zhang, Y.; 17th International Conference on Web Information Systems Engineering (WISE) (7 Nov 2016 - 10 Nov 2016 : Shanghai, China)
2016Mining health examination records - a graph-based approachChen, L.; Li, X.; Sheng, Q.; Peng, W.; Bennett, J.; Hu, H.; Huang, N.
2004Mining informative rule set for predictionLi, J.; Shen, H.; Topor, R.
2017Mining Mid-level Visual Patterns with Deep CNN ActivationsLi, Y.; Liu, L.; Shen, C.; Hengel, A.
2014Mining Personal Health Index from annual geriatric medical examinationsChen, L.; Li, X.; Wang, S.; Hu, H.; Huang, N.; Sheng, Q.; Sharif, M.; Kumar, R.; Toivonen, H.; Pei, J.; Huang, J.; Wu, X.; 14th IEEE International Conference on Data Mining (ICDM 2014) (14 Dec 2014 - 17 Dec 2014 : Shenzhen, China)
2005Mining quantitative and fuzzy association rulesShen, H.
2016Mining source code topics through topic model and words embeddingZhang, W.; Sheng, Q.; Abebe, E.; Ali Babar, M.; Zhou, A.; International Conference on Advanced Data Mining and Applications (ADMA) (12 Dec 2016 - 15 Dec 2016 : Gold Coast, Qld)
2002Mining the optimal class association rule setLi, J.; Shen, H.; Topor, R.
2001Mining the smallest association rule set for predictionsLi, J.; Shen, H.; Topor, R.; (29 Nov 2001 : San Jose, CA, USA)
2006Mitigating the effects of variable illumination for tracking across disjoint camera viewsCheng, E.; Madden, C.; Picardi, M.; IEEE Conference on Video and Signal Based Surveillance (2006 : Sydney, Australia)