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Results 1-10 of 20 (Search time: 0.003 seconds).
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PreviewIssue DateTitleAuthor(s)
2013Inductive hashing on manifoldsShen, F.; Shen, C.; Shi, Q.; Van Den Hengel, A.; Tang, Z.; IEEE Conference on Computer Vision and Pattern Recognition (26th : 2013 : Portland, Oregon)
2014Fast supervised hashing with decision trees for high-dimensional dataLin, G.; Shen, C.; Shi, Q.; Van Den Hengel, A.; Suter, D.; IEEE Conference on Computer Vision and Pattern Recognition (2014 : Columbus, Ohio)
2011Is face recognition really a compressive sensing problem?Shi, Q.; Eriksson, A.; Van Den Hengel, A.; Shen, C.; Conference on Computer Vision and Pattern Recognition (2011 : Rhode Island, USA)
2016Dictionary learning for promoting structured sparsity in hyperspectral compressive sensingZhang, L.; Wei, W.; Zhang, Y.; Shen, C.; Van Den Hengel, A.; Shi, Q.
2018Cluster sparsity field: an internal hyperspectral imagery prior for reconstructionZhang, L.; Wei, W.; Zhang, Y.; Shen, C.; van den Hengel, A.; Shi, Q.
2013Part-based visual tracking with online latent structural learningYao, R.; Shi, Q.; Shen, C.; Zhang, Y.; Van Den Hengel, A.; IEEE Conference on Computer Vision and Pattern Recognition (26th : 2013 : Portland, Oregon)
2015Learning graph structure for multi-label image classification via clique generationTan, M.; Shi, Q.; Van Den Hengel, A.; Shen, C.; Gao, J.; Hu, F.; Zhang, Z.; IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (07 Jun 2015 - 12 Jun 2015 : Boston, MA)
2015Hyperspectral Compressive Sensing Using Manifold-Structured Sparsity PriorZhang, L.; Wei, W.; Zhang, Y.; Li, F.; Shen, C.; Shi, Q.; IEEE International Conference on Computer Vision (11 Dec 2015 - 18 Dec 2015 : Santiago, Chile)
2015Worst case linear discriminant analysis as scalable semidefinite feasibility problemsLi, H.; Shen, C.; Van Den Hengel, A.; Shi, Q.
2015Hashing on nonlinear manifoldsShen, F.; Shen, C.; Shi, Q.; Van Den Hengel, A.; Tang, Z.; Shen, H.