1. Adelaide Research & Scholarship

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Results 1-10 of 37 (Search time: 0.002 seconds).
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PreviewIssue DateTitleAuthor(s)
2008PSDBoost: matrix-generation linear programming for positive semidefinite matrices learningShen, C.; Welsh, A.; Wang, L.; Annual Conference on Neural Information Processing Systems (22nd : 2008 : Vancouver, Canada)
2004Enhanced importance sampling: Unscented auxiliary particle filtering for visual trackingShen, C.; Van Den Hengel, A.; Dick, A.; Brooks, M.; Webb, G.; Yu, X.; Australian Joint Conference on Artificial Intelligence (17th : 2004 : Cairns, Qld.)
2005Adaptive over-relaxed mean shiftShen, C.; Brooks, M.; Bouzerdoum, A.; Beghdadi, A.; International Symposium on Signal Processing and Its Applications (8th : 2005 : Sydney, N.S.W.)
2008Real-time pedestrian detection using a boosted multi-layer classifierPaisitkriangkrai, S.; Shen, C.; Zhang, J.; European Conference on Computer Vision (10th : 2008 : Marseille, France)
2003Probabilistic multiple cue intergration for particle filter based trackingShen, C.; Van Den Hengel, A.; Dick, A.; Sun, C.; Talbot, H.; Ourselin, S.; Adriaansen, T.; Australian Pattern Recognition Society. Conference (7th : 2003 : Sydney, N.S.W.)
2009Positive Semidefinite Metric Learning with BoostingShen, C.; Kim, J.; Wang, L.; Van Den Hengel, A.; Annual Conference on Neural Information Processing Systems (23rd : 2009 : Vancouver, Canada)
2005Fast global kernel density mode seeking with application to localisation and trackingShen, C.; Brooks, M.; Van Den Hengel, A.; Ma, S.; Shum, H.; IEEE International Conference on Computer Vision (10th : 2005 : Beijing, China)
2005Visual tracking via efficient kernel discriminant subspace learningShen, C.; Van Den Hengel, A.; Brooks, M.; Regazzoni, C.; De Natale, F.; IEEE International Conference on Image Processing (2005 : Genoa, Italy)
2005Augmented particle filtering for efficient visual trackingShen, C.; Brooks, M.; Van Den Hengel, A.; Regazzoni, C.; De Natale, F.; IEEE International Conference on Image Processing (2005 : Genoa, Italy)
2006Classification-based likelihood functions for Bayesian trackingShen, C.; Li, H.; Brooks, M.; Piccardi, M.; Hintz, T.; IEEE Conference on Video and Signal Based Surveillance (2006 : Sydney, Australia)

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