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2020 – today
- 2024
[c4]Masaya Nakano, Masatoshi Nagano, Tomoaki Nakamura:
Robot Motion Learning via Visual Imitation and Language-Conditioned Reward. ICDL 2024: 1-6- [c3]Shoma Ochiai, Masatoshi Nagano, Tomoaki Nakamura:
Unsupervised Acquisition of Phonemes, Words, and Grammar from Continuous Speech Signals. ICDL 2024: 1-6 - 2023
- [j3]Masatoshi Nagano, Tomoaki Nakamura:
Unsupervised phoneme and word acquisition from continuous speech based on a hierarchical probabilistic generative model. Adv. Robotics 37(19): 1253-1265 (2023) - 2022
- [j2]Masatoshi Nagano, Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi:
Spatio-temporal categorization for first-person-view videos using a convolutional variational autoencoder and Gaussian processes. Frontiers Robotics AI 9 (2022)
2010 – 2019
- 2019
- [j1]Masatoshi Nagano, Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi, Wataru Takano:
HVGH: Unsupervised Segmentation for High-Dimensional Time Series Using Deep Neural Compression and Statistical Generative Model. Frontiers Robotics AI 6: 115 (2019) - [c2]Masatoshi Nagano, Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi, Wataru Takano:
High-dimensional Motion Segmentation by Variational Autoencoder and Gaussian Processes. IROS 2019: 105-111 - 2018
- [c1]Masatoshi Nagano, Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi, Masahide Kaneko:
Sequence Pattern Extraction by Segmenting Time Series Data Using GP-HSMM with Hierarchical Dirichlet Process. IROS 2018: 4067-4074
Coauthor Index
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