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PreviewIssue DateTitleAuthor(s)
2015The k-support norm and convex envelopes of cardinality and rankEriksson, A.; Pham, T.; Chin, T.; Reid, I.; 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015) (07 Jun 2015 - 12 Jun 2015 : Boston, MA)
2014Keeping you in the loop: enabling web-based things management in the internet of thingsYao, L.; Sheng, Q.; Ngu, A.; Gao, B.; 23rd ACM International Conference on Conference on Information and Knowledge Management (CIKM) (03 Nov 2014 - 07 Nov 2014 : Shanghai, China)
2007Kernel-based tracking from a probabilistic viewpointNguyen, Q.; Robles-Kelly, A.; Shen, C.; Computer Vision and Pattern Recognition (2007 : Minneapolis, MN, USA)
2014Key factors for adopting Inner SourceStol, K.; Avgeriou, P.; Babar, M.; Lucas, Y.; Fitzgerald, B.
2004Keyframe Selection for Camera Motion and Structure Estimation from Multiple ViewsThormaehlen, Thorsten; Broszio, Hellward; Weissenfeld, Axel; European Conference on Computer Vision (8th : 2004 : Prague, Czech Republic); ECCV 2004
2009Keypoint induced distance profiles for visual recognitionChin, T.; Suter, D.; IEEE Conference on Computer Vision and Pattern Recognition (22nd : 2009 : Miami, FL, USA)
2017Keyword search for building service-based systemsHe, Q.; Zhou, R.; Zhang, X.; Wang, Y.; Ye, D.; Chen, F.; Grundy, J.; Yang, Y.
2016Keyword-aware optimal location query in road networkBao, J.; Liu, X.; Zhou, R.; Wang, B.; International Conference on Web-Age Information Management (WAIM) (03 Jun 2016 - 05 Jun 2016 : Nanchang, China)
2014Knowledge sharing for common understanding of technical specifications through artifactual cultureZahedi, M.; Babar, M.; 18th International Conference on Evaluation & Assessment in Software Engineering (EASE 2014) (12 May 2014 - 14 May 2014 : London, UK)
2009KSM based machine learning for markerless motion captureTangkuampien, T.; Suter, D.
2010LACBoost and FisherBoost: optimally building cascade classifiersShen, C.; Wang, P.; Li, H.; European Conference on Computer Vision (ECCV) (10th : 2010 : Crete, Greece)
2008Lambda calculus as a workflow modelKelly, P.; Coddington, P.; Wendelborn, A.; International Conference on Grid and Pervasive Computing Workshop (3rd : 2008 : Kunming, China)
2009Lambda calculus as a workflow modelKelly, P.; Coddington, P.; Wendelborn, A.
2011Laplacian margin distribution boosting for learning from sparsely labeled dataWang, T.; He, X.; Shen, C.; Barnes, N.; Digital Image Computing Techniques and Applications (2011 : Noosa, Qld.)
2014Large-margin learning of compact binary image encodingsPaisitkriangkrai, S.; Shen, C.; Van Den Hengel, A.
2017Large-scale binary quadratic optimization using semidefinite relaxation and applicationsWang, P.; Shen, C.; Van Den Hengel, A.; Torr, P.
2017Large-scale camera network topology estimation by lighting variationZhu, M.; Dick, A.; van den Hengel, A.; 18th International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS 2017) (18 Sep 2017 - 21 Sep 2017 : Antwerp, Belgium)
2014Large-scale camera topology mapping: application to re-identificationDick, A.; Hengel, A.; Detmold, H.
2015Last-level cache side-channel attacks are practicalLiu, F.; Yarom, Y.; Ge, Q.; Heiser, G.; Lee, R.; Security and Privacy (SP) (17 May 2015 - 21 May 2015 : San Jose, CA)
2013Latent data association: Bayesian model selection for multi-target trackingSegal, A.; Reid, I.; International Conference on Computer Vision (2013 : Sydney, Australia)