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Learning terrain types with the Pitman-Yor process mixtures of Gaussians for a legged robot., , , and . IROS, page 3457-3463. IEEE, (2015)Task allocation learning in a multiagent environment: Application to the RoboCupRescue simulation., , , and . Multiagent Grid Syst., 6 (4): 293-314 (2010)Learning the Structure of Probabilistic Graphical Models with an Extended Cascading Indian Buffet Process., , and . AAAI, page 1774-1780. AAAI Press, (2014)Tree bark re-identification using a deep-learning feature descriptor., , and . CRV, page 25-32. IEEE, (2020)Artificial tactile perception for surface identification using a triple axis accelerometer probe., , , and . ROSE, page 101-106. IEEE, (2011)Learning Gaussian Process Models from Uncertain Data., , and . ICONIP (1), volume 5863 of Lecture Notes in Computer Science, page 433-440. Springer, (2009)An approximate inference with Gaussian process to latent functions from uncertain data., , and . Neurocomputing, 74 (11): 1945-1955 (2011)Tree bark re-identification using a deep-learning feature descriptor., , and . CoRR, (2019)The Indian Chefs Process, , , , , , , , and . (2020)Contrastive Maximum Mean Discrepancy for Unsupervised Domain Adaptation Applied to Large Scale 3D LiDAR Semantic Segmentation., , , and . BMVC Workshop, BMVA Press, (2023)