Adelaide Research & Scholarship: Search

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Issue Date	Title	Author(s)
2012	Is margin preserved after random projection?	Shi, Q.; Shen, C.; Hill, R.; Van Den Hengel, A.; International Conference on Machine Learning (29th : 2012 : Edinburgh, Scotland)
2013	Learning compact binary codes for visual tracking	Li, X.; Shen, C.; Dick, A.; Van Den Hengel, A.; IEEE Conference on Computer Vision and Pattern Recognition (26th : 2013 : Portland, Oregon)
2013	Fully corrective boosting with arbitrary loss and regularization	Shen, C.; Li, H.; Van Den Hengel, A.
2013	Context-aware hypergraph construction for robust spectral clustering	Li, X.; Hu, W.; Shen, C.; Dick, A.; Zhang, Z.
2012	Non-sparse linear representations for visual tracking with online reservoir metric learning	Li, X.; Shen, C.; Shi, Q.; Dick, A.; Van Den Hengel, A.; IEEE Conference on Computer Vision and Pattern Recognition (25th : 2012 : Providence, Rhode Island)
2012	Fast and robust object detection using asymmetric totally-corrective boosting	Wang, P.; Shen, C.; Barnes, N.; Zheng, H.
2012	UBoost: Boosting with the Universum	Shen, C.; Wang, P.; Shen, F.; Wang, H.
2012	Positive semidefinite metric learning using boosting-like algorithms	Shen, C.; Kim, J.; Wang, L.; Van Den Hengel, A.
2014	Large-margin learning of compact binary image encodings	Paisitkriangkrai, S.; Shen, C.; Van Den Hengel, A.
2013	Incremental learning of 3D-DCT compact representations for robust visual tracking	Li, X.; Dick, A.; Shen, C.; Van Den Hengel, A.; Wang, H.