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Masatoshi Nagano

2 accepted papers

2019

High-dimensional Motion Segmentation by Variational Autoencoder and Gaussian Processes

IROS 2019poster

Humans perceive continuous high-dimensional information by dividing it into significant segments such as words and units of motion. We believe that such unsupervised segmentation is also important for robots to learn topics such as language and motion. To this end, we previously proposed a hierarchi…

Cited by 7SourceScholar
2018

Sequence Pattern Extraction by Segmenting Time Series Data Using GP-HSMM with Hierarchical Dirichlet Process

IROS 2018poster

Humans recognize perceived continuous information by dividing it into significant segments such as words and unit motions. We believe that such unsupervised segmentation is also an important ability that robots need to learn topics such as language and motions. Hence, in this paper, we propose a met…

Cited by 19SourceScholar