1. Adelaide Research & Scholarship

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Results 1501-1510 of 1687 (Search time: 0.002 seconds).
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PreviewIssue DateTitleAuthor(s)
2011Is face recognition really a compressive sensing problem?Shi, Q.; Eriksson, A.; Van Den Hengel, A.; Shen, C.; Conference on Computer Vision and Pattern Recognition (2011 : Rhode Island, USA)
2010Improved Decaying Bloom Filter for duplicate detection in data streams over sliding windowsWang, X.; Shen, H.; Hang, Y.; Desheng, W.; Sandhu, P.S.; IEEE International Conference on Computer Science and Information Technology (3rd : 2010 : Chengdu, China)
2010Anonymizing graphs against weight-based attacksLi, Y.; Shen, H.; IEEE International Conference on Data Mining Workshops (10th : 2010 : Sydney, NSW)
2010A novel reconstruction approach for pixel-domain distributed video codingDu, B.; Shen, H.; International Conference on Future Computer and Communication (2nd : 21010 : Wuhan, China)
2010A computational framework for adaptation in military mission planningBui, L.; Michalewicz, Z.; International Conference on Knowledge and Systems Engineering (2nd : 2010 : Hanoi, Vietnam)
2013Context-aware hypergraph construction for robust spectral clusteringLi, X.; Hu, W.; Shen, C.; Dick, A.; Zhang, Z.
2013Verifying transactional requirements of web service compositions using temporal logic templatesBourne, S.; Szabo, C.; Sheng, Q.; Lin, X.; Manolopoulos, Y.; Srivastava, D.; Huang, G.; International Conference on Web Information Systems Engineering (14th : 2013 : Nanjing, China)
2013A framework for processing uncertain RFID data in supply chain managementXie, D.; Sheng, Q.; Ma, J.; Cheng, Y.; Qin, Y.; Zeng, R.; Lin, X.; Manolopoulos, Y.; Srivastava, D.; Huang, G.; International Conference on Web Information Systems Engineering (14th : 2013 : Nanjing, China)
2012Redistribution of VCG payments in public project problemsNaroditskiy, V.; Guo, M.; Dufton, L.; Polukarov, M.; Jennings, N.; Goldberg, P.; International Workshop on Internet and Network Economics (WINE) (10 Dec 2012 - 12 Dec 2012 : Liverpool, UK)
2013Left Ventricle Segmentation from Cardiac MRI Combining Level Set Methods with Deep Belief Networks.Ngo, T.; Carneiro, G.; International Conference on Image Processing (20th : 2013 : Melbourne)

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