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Bayesian semi-supervised audio event transcription based on Markov indian buffet process., , , , , , and . ICASSP, page 3163-3167. IEEE, (2013)Mixture of Gaussian process experts for predicting sung melodic contour with expressive dynamic fluctuations., , , and . ICASSP, page 3714-3718. IEEE, (2014)Segmenting Continuous Motions with Hidden Semi-markov Models and Gaussian Processes., , , , , and . Frontiers Neurorobotics, (2017)Learning word meanings and grammar for verbalization of daily life activities using multilayered multimodal latent Dirichlet allocation and Bayesian hidden Markov models., , , , , , and . Adv. Robotics, 30 (11-12): 806-824 (2016)Learning an optimal distance metric in a linguistic vector space., , and . Syst. Comput. Jpn., 37 (9): 12-21 (2006)Suggesting Sentences for ESL using Kernel Embeddings., , , and . NLP-TEA@IJCNLP, page 64-68. Asian Federation of Natural Language Processing, (2017)Recognition of Japanese historical text lines by an attention-based encoder-decoder and text line generation., , , , and . HIP@ICDAR, page 37-41. ACM, (2019)On the properties of von Neumann kernels for link analysis., , , and . Mach. Learn., 75 (1): 37-67 (2009)A Probabilistic Approach to Unsupervised Induction of Combinatory Categorial Grammar in Situated Human-Robot Interaction., , and . Humanoids, page 1-9. IEEE, (2018)Special issue on symbol emergence in robotics and cognitive systems (II)., , , , , , , , , and 5 other author(s). Adv. Robotics, 36 (5-6): 217-218 (2022)