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Preview	Issue Date	Title	Author(s)
	2012	Positive semidefinite metric learning using boosting-like algorithms	Shen, C.; Kim, J.; Wang, L.; Van Den Hengel, A.
	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)
	2012	Boosting object retrieval with group queries	Chen, Y.; Li, X.; Dick, A.; Van Den Hengel, A.
	2012	Efficient computation of robust weighted low-rank matrix approximations using the L₁ norm	Eriksson, A.; Van Den Hengel, A.
	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	Robust tracking with weighted online structured learning	Yao, R.; Shi, Q.; Shen, C.; Zhang, Y.; Van Den Hengel, A.; Fitzgibbon, A.; Lazebnik, S.; Perona, P.; Sato, Y.; Schmidt, C.; European Conference on Computer Vision (12th : 2012 : Florence, Italy)
	2012	Guaranteed ellipse fitting with the Sampson distance	Szpak, Z.; Chojnacki, W.; Van Den Hengel, A.; Fitzgibbon, A.; Lazebnik, S.; Perona, P.; Sato, Y.; Schmid, C.; European Conference on Computer Vision (12th : 2012 : Florence, Italy)
	2012	Fast training of effective multi-class boosting using coordinate descent optimization	Lin, G.; Shen, C.; Van Den Hengel, A.; Suter, D.; Asian Conference on Computer Vision (11th : 2012 : Daejeon, Korea)
	2012	A comparison of ellipse fitting methods and implications for multiple-view geometry estimation	Szpak, Z.; Chojnacki, W.; Van Den Hengel, A.; International Conference on Digital Image Computing Techniques and Applications (2012 : Fremantle)
	2012	Sharing features in multi-class boosting via group sparsity	Paisitkriangkrai, S.; Shen, C.; Van Den Hengel, A.; IEEE Conference on Computer Vision and Pattern Recognition (25th : 2012 : Providence, Rhode Island)