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Results 1-10 of 17 (Search time: 0.004 seconds).
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PreviewIssue DateTitleAuthor(s)
2011On the optimality of sequential forward feature selection using class separability measureWang, L.; Shen, C.; Hartley, R.; International Conference on Digital Image Computing Techniques and Applications (2011 : Noosa, Qld)
2014Encoding high dimensional local features by sparse coding based fisher vectorsLiu, L.; Shen, C.; Wang, L.; Van Den Hengel, A.; Wang, C.; 27th International Conference on Neural Information Processing Systems (NIPS'14) (08 Dec 2014 - 13 Dec 2014 : Montreal, Canada)
2014Multiple kernel clustering based on centered kernel alignmentLu, Y.; Wang, L.; Lu, J.; Yang, J.; Shen, C.
2012Positive semidefinite metric learning using boosting-like algorithmsShen, C.; Kim, J.; Wang, L.; Van Den Hengel, A.
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)
2014A hierarchical word-merging algorithm with class separability measureWang, L.; Zhou, L.; Shen, C.; Liu, L.; Liu, H.
2016A generalized probabilistic framework for compact codebook creationLiu, L.; Wang, L.; Shen, C.
2011A scalable dual approach to semidefinite metric learningShen, C.; Kim, J.; Wang, L.; IEEE Conference on Computer Vision and Pattern Recognition (24th : 2011 : Colorado Springs, CO, U.S.A.)
2011A generalized probabilistic framework for compact codebook creationLiu, L.; Wang, L.; Shen, C.; Computer Vision and Pattern Recognition (2011 : Colorado Springs, US)
2014Efficient dual approach to distance metric learningShen, C.; Kim, J.; Liu, F.; Wang, L.; van den Hengel, A.