1. Adelaide Research & Scholarship

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Results 21-30 of 70 (Search time: 0.002 seconds).
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PreviewIssue DateTitleAuthor(s)
2015Context based re-ranking for object retrievalChen, Y.; Dick, A.; Li, X.; Hill, R.; Cremers, D.; Reid, I.; Saito, H.; Yang, M.H.; 12th Asian Conference on Computer Vision (ACCV 2014) (1 Nov 2014 - 5 Nov 2014 : Singapore)
2014TagTrack: device-free localization and tracking using passive RFID tagsRuan, W.; Yao, L.; Sheng, Q.; Falkner, N.; Li, X.; 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (2 Dec 2014 - 5 Dec 2014 : London, Great Britain)
2014Exploring recommendations in Internet of ThingsYao, L.; Sheng, Q.; Ngu, A.; Ashman, H.; Li, X.; 37th International ACM SIGIR Conference on Research & Development in Information Retrieval (6 Jul 2014 - 11 Jul 2014 : Gold Coast, Australia)
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)
2014Exploring tag-free RFID-based passive localization and tracking via learning-based probabilistic approachesYao, L.; Ruan, W.; Sheng, Q.; Li, X.; Falkner, N.; Wang, X.; 23rd ACM International Conference on Information and Knowledge Management (CKIM) (3 Nov 2014 - 7 Nov 2014 : Shanghai, China)
2012A new discrete electromagnetism-based meta-heuristic for solving the multidimensional knapsack problem using genetic operatorsBonyadi, M.; Li, X.
2018Modeling privacy leakage risks in large-scale social networksDu, S.; Li, X.; Zhong, J.; Zhou, L.; Xue, M.; Zhu, H.; Sun, L.
2014Structured streaming skeleton - a new feature for online human gesture recognitionZhao, X.; Li, X.; Pang, C.; Sheng, Q.; Wang, S.; Ye, M.
2016Personal health indexing based on medical examinations: a data mining approachChen, L.; Li, X.; Yang, Y.; Kurniawati, H.; Sheng, Q.; Hu, H.; Huang, N.
2016Multi-label classification via learning a unified object-label graph with sparse representationYao, L.; Sheng, Q.; Ngu, A.; Gao, B.; Li, X.; Wang, S.

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