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Showing results 1004 to 1023 of 2567 < previous   next >
PreviewIssue DateTitleAuthor(s)
2000A framework for understanding renormalisation-type methods in computer visionChojnacki, W.; Brooks, M.; Van Den Hengel, A.; Advanced Concepts for Intelligent Vision Systems ACIVS (2000 : Baden-Baden, Germany)
2017The framework of relative density-based clusteringCui, Z.; Shen, H.; International Symposium on Parallel Architectures, Algorithms, and Programming (PAAP) (17 Jun 2017 - 18 Jun 2017 : Haikou, China)
2015A Framework towards model driven business process compliance and monitoringKotamarthi, K.; Wang, X.; Grossmann, G.; Sheng, Q.; Indrakanti, S.; IEEE 19th International Enterprise Distributed Object Computing Workshop (EDOCW 2015) (21 Sep 2015 - 25 Sep 2015 : Adelaide, AUSTRALIA)
2016Freedom: online activity recognition via dictionary-based sparse representation of RFID sensing dataYao, L.; Sheng, Q.; Li, X.; Wang, S.; Gu, T.; Ruan, W.; Zou, W.; IEEE International Conference on Data Mining (ICDM) (14 Nov 2015 - 17 Nov 2015 : Atlantic City, NJ)
2010A frequency control algorithm for a mobile adhoc networkCoyle, A.; Nguyen, H.; Military Communications and Information Systems Conference (MiLCIS) (2010 : Canberra, Australia)
2015From big data to big serviceXu, X.; Sheng, Q.; Zhang, L.; Fan, Y.; Dustdar, S.
2010From communities of web services to marts of composite web servicesMaamar, Z.; Al-Khatib, G.; de Vit, A.; Wives, L.; Sheng, Q.; Benslimane, D.; IEEE International Conference on Advanced Information Networking and Applications (24th : 2010 : Perth)
2004From FNS to HEIV: A link between two vision parameter estimation methodsChojnacki, W.; Brooks, M.; Van Den Hengel, A.; Gawley, D.
2017From motion blur to motion flow: a deep learning solution for removing heterogeneous motion blurGong, D.; Yang, J.; Liu, L.; Zhang, Y.; Reid, I.; Shen, C.; Hengel, A.; Shi, Q.; 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) (21 Jul 2017 - 26 Jul 2017 : Honolulu, HI)
2012From single watermark to dual watermark: a new approach for image watermarkingShen, H.; Chen, B.
2010From student to teacher: Building professional development resources for sessional teaching staffFalkner, K.; Le Lievre, K.; Annual Conference for the Australasian Association for Engineering Education (21st : 2010 : Sydney, Australia)
2008From visual query to visual portrayalShahrokni, A.; Mei, C.; Torr, P.; Reid, I.; British Machine Vision Conference (19th : 2008 : Leeds, UK)
2017Fully automated classification of mammograms using deep residual neural networksDhungel, N.; Carneiro, G.; Bradley, A.; IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017) (18 Apr 2017 - 21 Apr 2017 : Melbourne, AUSTRALIA)
2014Fully automated non-rigid segmentation with distance regularized level set evolution initialized and constrained by deep-structured inferenceNgo, T.; Carneiro, G.; 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2014) (23 Jun 2014 - 28 Jun 2014 : Columbus, OH)
2016Fully Bayesian field slam using Gaussian Markov random fieldsDo, H.N.; Jadaliha, M.; Temel, M.; Choi, J.
2013Fully corrective boosting with arbitrary loss and regularizationShen, C.; Li, H.; Van Den Hengel, A.
2001Fully dynamic maintenance of k-connectivity in parallelLiang, W.; Brent, R.; Shen, H.
2000Fundamental matrix from optical flow: optimal computation and reliability evaluationKanatani, K.; Shimizu, Y.; Ohta, N.; Brooks, M.; Chojnacki, W.; Van Den Hengel, A.
2010The fusion of deep learning architectures and particle filtering applied to lip trackingCarneiro, G.; Nascimento, J.; International Conference on Pattern Recognition (20th : 2010 : Istanbul, Turkey)
2013Fuzzy clustering based encoding for visual object classificationDell'Agnello, D.; Carneiro, G.; Chin, T.; Castellano, G.; Fanelli, A.; Joint World Congress on Fuzzy Systems and NAFIPS Annual Meeting (2013 : Edmonton, Canada)