1. Adelaide Research & Scholarship

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Results 1-10 of 151 (Search time: 0.005 seconds).
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PreviewIssue DateTitleAuthor(s)
2009Bayesian multi-object estimation from image observationsVo, B.; Vo, B.; Suter, D.; Pham, N.; International Conference on Information Fusion (12th : 2009 : Seattle, USA)
2006Real-time human pose inference using kernel principal component pre-image approximationsTangkuampien, T.; Suter, D.; British Machine Vision Conference (17th : 2006 : Edinburgh)
2008Human motion recognition using gaussian processes classificationZhou, H.; Wang, L.; Suter, D.; International Conference on Pattern Recognition (19th : 2008 : Florida)
20063D object pose inference via kernel principal component analysis with image euclidian distance (IMED).Tangkuampien, T.; Suter, D.; British Machine Vision Conference (17th : 2006 : Edinburgh)
2006Incremental Kernel PCA for Efficient Non-linear Feature ExtractionChin, T.; Suter, D.; British Machine Vision Conference (17th : 2006 : Edinburgh)
2012Perception as hypothesis testing - how to discover and generate hypothesesSuter, D.; Chin, T.J.; Wong, H.S.; Pham, T.T.; 2012 Joint Applied Vision Association and British Machine Vision Association Annual Meeting (AVA/BMVA) (21 May 2012 - 21 May 2012 : Cambridge, United Kingdom)
2017Region of interest autoencoders with an application to pedestrian detectionWilliams, J.; Carneiro, G.; Suter, D.; Guo, Y.; Li, H.; Cai, W.; Murshed, M.; Wang, Z.; Gao, J.; Feng, D.; International Conference on Digital Image Computing: Techniques and Applications (DICTA 2017) (29 Nov 2017 - 1 Dec 2017 : Sydney, AUSTRALIA)
2009Fast single-view people trackingHoseinnezhad, R.; Vo, B.; Suter, D.; Cognitive systems with Interactive Sensors (2009 : Paris, France)
2003False-peaks-avoiding mean shift method for unsupervised peak-valley sliding image segmentationWang, H.; Suter, D.; Digital Image Computing: Techniques and Applications (2003 : Sydney, Australia)
2009Fast segmentation of multiple motionsHoseinnezhad, R.; Vo, B.; Suter, D.; Cognitive systems with Interactive Sensors (2009 : Paris, France)

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