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Ryo Nakashima
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2020 – today
- 2022
- [j7]Junya Tanaka
, Daisuke Yamamoto, Ryo Nakashima, Yuto Yamaji, Hiroshi Ohtsu, Keisuke Kamata, Kohei Nara, Tetsuya Asayama:
Verification experiment of stocking and disposal tasks by automatic shelf and mobile single-arm manipulation robot. Adv. Robotics 36(17-18): 900-919 (2022) - 2020
- [c7]Ryo Nakashima, Akihito Seki:
Uncertainty-Based Adaptive Sensor Fusion for Visual-Inertial Odometry under Various Motion Characteristics. ICRA 2020: 3119-3125
2010 – 2019
- 2019
- [j6]Ryo Nakashima, Ryo Ozaki, Tadahiro Taniguchi:
Unsupervised Phoneme and Word Discovery From Multiple Speakers Using Double Articulation Analyzer and Neural Network With Parametric Bias. Frontiers Robotics AI 6: 92 (2019) - [c6]Ryo Nakashima, Akihito Seki:
SIR-Net: Scene-Independent End-to-End Trainable Visual Relocalizer. 3DV 2019: 472-481 - [i2]Ryo Nakashima, Ryo Ozaki, Tadahiro Taniguchi:
Unsupervised Phoneme and Word Discovery from Multiple Speakers using Double Articulation Analyzer and Neural Network with Parametric Bias. CoRR abs/1906.11049 (2019) - 2016
- [j5]Tadahiro Taniguchi, Ryo Nakashima, Hailong Liu
, Shogo Nagasaka:
Double articulation analyzer with deep sparse autoencoder for unsupervised word discovery from speech signals. Adv. Robotics 30(11-12): 770-783 (2016) - [j4]Tadahiro Taniguchi
, Shogo Nagasaka, Ryo Nakashima:
Nonparametric Bayesian Double Articulation Analyzer for Direct Language Acquisition From Continuous Speech Signals. IEEE Trans. Cogn. Dev. Syst. 8(3): 171-185 (2016) - [c5]Tadahiro Taniguchi, Ryo Nakashima, Shogo Nagasaka:
Direct word discovery from speech signals based on hierarchical Dirichlet process-hidden language model and deep sparse autoencoder. ICDL-EPIROB 2016: 23-24 - 2015
- [i1]Tadahiro Taniguchi, Ryo Nakashima, Shogo Nagasaka:
Nonparametic Bayesian Double Articulation Analyzer for Direct Language Acquisition from Continuous Speech Signals. CoRR abs/1506.06646 (2015) - 2013
- [c4]Ryo Nakashima, Keita Takahashi, Takeshi Naemura
:
Super-resolved free-viewpoint image synthesis combined with sparse-representation-based super-resolution. APSIPA 2013: 1-6 - [c3]Koichi Hamada, Ryo Nakashima, Keita Takahashi, Takeshi Naemura
:
Super-resolution with Adaptive Pixel Weighting Scheme and Its Application to Super-resolved Free-Viewpoint Image Synthesis. SITIS 2013: 757-764 - 2012
- [j3]Ryo Nakashima, Keita Takahashi, Takeshi Naemura:
Theoretical Analysis of Multi-View Camera Arrangement and Light-Field Super-Resolution. Inf. Media Technol. 7(4): 1514-1528 (2012) - [j2]Ryo Nakashima, Keita Takahashi, Takeshi Naemura:
Theoretical Analysis of Multi-View Camera Arrangement and Light-Field Super-Resolution. IPSJ Trans. Comput. Vis. Appl. 4: 119-133 (2012) - 2011
- [j1]Ryo Nakashima, Kei Utsugi, Keita Takahashi, Takeshi Naemura
:
Stereo Image Retargeting with Shift-Map. IEICE Trans. Inf. Syst. 94-D(6): 1345-1348 (2011) - [c2]Hitomi Saito, Yuka Egusa
, Hitoshi Terai, Noriko Kando
, Ryo Nakashima, Masao Takaku, Makiko Miwa:
Changes in users' knowledge structures before and after Web search on a topic: Analysis using the concept map. ASIST 2011: 1-4 - [c1]Ryo Nakashima, Keita Takahashi, Takeshi Naemura
:
Theoretical Analysis of Multi-view Camera Arrangement and Light-Field Super-Resolution. PSIVT (1) 2011: 407-420
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