Adelaide Research & Scholarship: Search

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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.
	2014	Encoding high dimensional local features by sparse coding based fisher vectors	Liu, L.; Shen, C.; Wang, L.; Van Den Hengel, A.; Wang, C.; Ghahramani, Z.; Welling, M.; Cortes, C.; Lawrence, N.D.; Weinberger, K.Q.; 27th International Conference on Neural Information Processing Systems (NIPS'14) (8 Dec 2014 - 13 Dec 2014 : Montreal, Canada)
	2016	A generalized probabilistic framework for compact codebook creation	Liu, L.; Wang, L.; Shen, C.
	2014	A hierarchical word-merging algorithm with class separability measure	Wang, L.; Zhou, L.; Shen, C.; Liu, L.; Liu, H.
	2014	Efficient dual approach to distance metric learning	Shen, C.; Kim, J.; Liu, F.; Wang, L.; van den Hengel, A.
	2010	Scalable large-margin Mahalanobis distance metric learning	Shen, C.; Kim, J.; Wang, L.
	2010	Feature selection with redundancy-constrained class separability	Zhou, L.; Wang, L.; Shen, C.
	2014	Multiple kernel clustering based on centered kernel alignment	Lu, Y.; Wang, L.; Lu, J.; Yang, J.; Shen, C.
	2011	On the optimality of sequential forward feature selection using class separability measure	Wang, L.; Shen, C.; Hartley, R.; International Conference on Digital Image Computing Techniques and Applications (2011 : Noosa, Qld)
	2010	Hippocampal shape classification using redundancy constrained feature selection	Zhou, L.; Wang, L.; Shen, C.; Barnes, N.; International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) (13th : 2011 : Beijing, China)