1. Adelaide Research & Scholarship

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Results 11-20 of 23 (Search time: 0.002 seconds).
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PreviewIssue DateTitleAuthor(s)
2013Training effective node classifiers for cascade classificationShen, C.; Wang, P.; Paisitkriangkrai, S.; Van Den Hengel, A.
2013Shape similarity analysis by self-tuning locally constrained mixed-diffusionLuo, L.; Shen, C.; Zhang, C.; Van Den Hengel, A.
2013Fully corrective boosting with arbitrary loss and regularizationShen, C.; Li, H.; Van Den Hengel, A.
2013Approximate least trimmed sum of squares fitting and applications in image analysisShen, F.; Shen, C.; Van Den Hengel, A.; Tang, Z.
2013Incremental learning of 3D-DCT compact representations for robust visual trackingLi, X.; Dick, A.; Shen, C.; Van Den Hengel, A.; Wang, H.
2012Fast and robust object detection using asymmetric totally-corrective boostingWang, P.; Shen, C.; Barnes, N.; Zheng, H.
2012UBoost: Boosting with the UniversumShen, C.; Wang, P.; Shen, F.; Wang, H.
2013Learning compact binary codes for visual trackingLi, X.; Shen, C.; Dick, A.; Van Den Hengel, A.; IEEE Conference on Computer Vision and Pattern Recognition (26th : 2013 : Portland, Oregon)
2012Non-sparse linear representations for visual tracking with online reservoir metric learningLi, X.; Shen, C.; Shi, Q.; Dick, A.; Van Den Hengel, A.; IEEE Conference on Computer Vision and Pattern Recognition (25th : 2012 : Providence, Rhode Island)
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)

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