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1

Symbol Grounding and Inference in Natural Language Processing

Mochihashi, Daichi

Journal:

Journal of the Robotics Society of Japan

Year:

2015

File:

PDF, 1.33 MB

2015

2

On the properties of von

Masashi Shimbo, Takahiko Ito, Daichi Mochihashi, Yuji Matsumoto

Journal:

Machine Learning

Year:

2009

Language:

english

File:

PDF, 574 KB

english, 2009

3

[IEEE ICASSP 2011 - 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - Prague, Czech Republic (2011.05.22-2011.05.27)] 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - Gibbs sampling based Multi-scale Mixture Model for speaker clustering

Watanabe, Shinji, Mochihashi, Daichi, Hori, Takaaki, Nakamura, Atsushi

Year:

2011

Language:

english

File:

PDF, 386 KB

english, 2011

4

[ACM Press the 5th International Workshop - Sydney, NSW, Australia (2019.09.20-2019.09.21)] Proceedings of the 5th International Workshop on Historical Document Imaging and Processing - HIP '19 - Recognition of Japanese historical text lines by an attention-based encoder-decoder and text line generation

Le, Anh Duc, Mochihashi, Daichi, Masuda, Katsuya, Mima, Hideki, Ly, Nam Tuan

Year:

2019

Language:

english

File:

PDF, 745 KB

english, 2019

5

[IEEE ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - Florence, Italy (2014.5.4-2014.5.9)] 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - Mixture of Gaussian process experts for predicting sung melodic contour with expressive dynamic fluctuations

Ohishi, Yasunori, Mochihashi, Daichi, Kameoka, Hirokazu, Kashino, Kunio

Year:

2014

Language:

english

File:

PDF, 271 KB

english, 2014

6

[IEEE 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) - Macau, China (2019.11.3-2019.11.8)] 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) - High-dimensional Motion Segmentation by Variational Autoencoder and Gaussian Processes

Nagano, Masatoshi, Nakamura, Tomoaki, Nagai, Takayuki, Mochihashi, Daichi, Kobayashi, Ichiro, Takano, Wataru

Year:

2019

Language:

english

File:

PDF, 1.19 MB

english, 2019

7

Learning an optimal distance metric in a linguistic vector space

Daichi Mochihashi, Genichiro Kikui, Kenji Kita

Journal:

Systems and Computers in Japan

Year:

2006

Language:

english

File:

PDF, 445 KB

english, 2006

8

[IEEE 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) - Madrid (2018.10.1-2018.10.5)] 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) - Sequence Pattern Extraction by Segmenting Time Series Data Using GP-HSMM with Hierarchical Dirichlet Process

Nagano, Masatoshi, Nakamura, Tomoaki, Nagai, Takayuki, Mochihashi, Daichi, Kobayashi, Ichiro, Kaneko, Masahide

Year:

2018

File:

PDF, 34 KB

2018

9

Segmenting Continuous Motions with Hidden Semi-markov Models and Gaussian Processes

Nakamura, Tomoaki, Nagai, Takayuki, Mochihashi, Daichi, Kobayashi, Ichiro, Asoh, Hideki, Kaneko, Masahide

Journal:

Frontiers in Neurorobotics

Year:

2017

Language:

english

File:

PDF, 14.95 MB

english, 2017

10

Learning word meanings and grammar for verbalization of daily life activities using multilayered multimodal latent Dirichlet allocation and Bayesian hidden Markov models

Attamimi, Muhammad, Ando, Yuji, Nakamura, Tomoaki, Nagai, Takayuki, Mochihashi, Daichi, Kobayashi, Ichiro, Asoh, Hideki

Journal:

Advanced Robotics

Year:

2016

File:

PDF, 5.46 MB

2016

11

[IEEE ICASSP 2013 - 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - Vancouver, BC, Canada (2013.05.26-2013.05.31)] 2013 IEEE International Conference on Acoustics, Speech and Signal Processing - Bayesian semi-supervised audio event transcription based on Markov indian buffet process

Ohishi, Yasunori, Mochihashi, Daichi, Matsui, Tomoko, Nakano, Masahiro, Kameoka, Hirokazu, Izumitani, Tomonori, Kashino, Kunio

Year:

2013

Language:

english

File:

PDF, 1.81 MB

english, 2013

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