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Ramos, F. T., Upcroft, B., Kumar, S. and Durrant-Whyte, H. F. (2005). A Bayesian Approach for Place Recognition. In: IJCAI-05 Workshop: Reasoning with Uncertainty in Robotics (RUR-05), Edinburgh, Scotland, (1-8). 30 Jul 2005. 290  
Wang, X., Kumar, S., Kaupp, T., Upcroft, B. and Durrant-Whyte, H. F. (2005). Applying ISOMAP to the learning of hyperspectral image. In: Claude Sammut, Proceedings of the 2005 Australasian Conference on Robotics & Automation. Australasian Conference on Robotics and Automation 2005, Sydney, Austalia, (). 5 - 7 Dec 2005. 98  
Ramos, F. T., Durrant-Whyte, H. F., Upcroft, B. and Kumar, S. (2006). Learning articulated motion structures with Bayesian Networks. In: IEEE. 8th International Conference on Information Fusion, Franklin Plaza, Philadelphia, USA., (). 25-28 July, 2005. doi:10.1109/ICIF.2005.1591927 32   0
Upcroft, B., Ridley, M., Ong, L. L., Douillard, B., Kaupp, T., Kumar, S., Bailey, T., Ramos, F., Makarenko, A., Brooks, A., Sukkarieh, S. and Durrant-Whyte, H. F. (2008). Multi-level state estimation in an outdoor decentralised sensor network. In: Oussama Khatib, Vijay Kumar and Daniela Rus, Springer Tracts in Advanced Robotics. Experimental Robotics: The 10th International Symposium on Experimental Robotics. ISER '06: 10th International Symposium on Experimental Robotics 2006, Rio de Janeiro, Brazil, (355-365). 6-10 July, 2006. doi:10.1007/978-3-540-77457-0_33 59   Cited 2 times in Scopus2 0
Ramos, F.T., Kumar, S., Upcroft, B. and Durrant-Whyte, H. F. (2005). Representing natural objects in unstructured environments. In: 19th Annual Conference on Neural Information Processing Systems: NIPS Workshop on Machine Learning in Robotics, Whistler, Canada, (1-11). 9-10 December, 2005. 33  
Kumar, S., Guivant, B., Upcroft, H. F. and Durrant-Whyte, H. F. (2007) Sequential nonlinear manifold learning. Intelligent Data Analysis, 11 2: 203-222. 53   Cited 1 times in Scopus1