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ORCIDYuki Hirayama
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2020 – today
- 2024
[c8]Yuki Hirayama, Takuzo Ikuta, Kota Tsubouchi, Nobuhiko Nishio:
State and Transition Recognition of Ventilation-induced Barometric Disturbance during Indoor Altitude Estimation. IPIN 2024: 1-7- 2023
- [c7]Kota Tsubouchi, Yuki Hirayama, Takuzo Ikuta, Nobuhiko Nishio:
Enhancing Indoor Altitude Estimation on Smartphones: Resolving Ventilation Fan Effects. IPIN 2023: 1-7 - [c6]Yuki Hirayama, Kengo Suga, Shinya Takamaeda-Yamazaki:
GeMP-BNN: High-Performance Sampling-Free Bayesian Neural Network Accelerator with Gaussian Error Moment Propagation. MCSoC 2023: 522-529 - 2022
- [i1]Yuki Hirayama, Shinya Takamaeda-Yamazaki:
MP-GELU Bayesian Neural Networks: Moment Propagation by GELU Nonlinearity. CoRR abs/2211.13402 (2022) - 2020
- [j2]Yuki Hirayama, Tetsuya Asai, Masato Motomura, Shinya Takamaeda:
A Hardware-efficient Weight Sampling Circuit for Bayesian Neural Networks. Int. J. Netw. Comput. 10(2): 84-93 (2020)
2010 – 2019
- 2019
- [c5]Yuki Hirayama, Tetsuya Asai, Masato Motomura
, Shinya Takamaeda-Yamazaki:
A Resource-Efficient Weight Sampling Method for Bayesian Neural Network Accelerators. CANDAR 2019: 137-142
1990 – 1999
- 1999
- [c4]Yuki Hirayama:
A Framework for Forms Processing using Enhanced-Line-Shared-Adjacent Format. ICDAR 1999: 103-106 - 1996
- [j1]Akio Yamashita, Tomio Amano, Yuki Hirayama, Nobuyasu Itoh, Shin Katoh, Takashi Mano, Kazuharu Toyokawa:
A document recognition system and its applications. IBM J. Res. Dev. 40(3): 341-366 (1996) - [c3]Yuki Hirayama:
Analyzing form images by using line-shared-adjacent cell relations. ICPR 1996: 768-772 - 1995
- [c2]Yuki Hirayama:
A method for table structure analysis using DP matching. ICDAR 1995: 583-586 - 1993
- [c1]Yuki Hirayama:
A block segmentation method for document images with complicated column structures. ICDAR 1993: 91-94
Coauthor Index
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