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ORCIDYoshihiro Ohama
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2020 – today
- 2024
[i1]Hiroya Makino, Yoshihiro Ohama, Seigo Ito:
MARPF: Multi-Agent and Multi-Rack Path Finding. CoRR abs/2403.12376 (2024)- 2021
- [j3]Yoshihiro Ohama
, Kakeru Tanaka, Hiroshi Yasuda, Kainosuke Obata, Naohiro Fukumura:
Improvements in Perpendicular Reverse Parking by Directing Drivers' Preliminary Behavior. IEEE Access 9: 92003-92016 (2021) - [c5]Akinobu Fujii, Bunyo Okumura, Yoshihiro Ohama, Akihiro Nakamura, Kunihiro Goto, Tsukasa Shimizu:
CIM: Constraint-based Intersection Management in Mixture of Non-Connected Vehicles. ITSC 2021: 479-485
2010 – 2019
- 2017
- [c4]Yoshihiro Ohama, Takayoshi Yoshimura:
A Parallel Forward-Backward Propagation Learning Scheme for Auto-Encoders. ICONIP (2) 2017: 126-136 - 2012
- [c3]Hiroshi Yasuda, Yoshihiro Ohama:
Toward a practical wall see-through system for drivers: How simple can it be? ISMAR 2012: 333-334
2000 – 2009
- 2006
- [j2]Yoshihiro Ohama, Naohiro Fukumura, Yoji Uno:
A forward-propagation learning rule for neural inverse models in consideration of the correlation of propagated errors. Syst. Comput. Jpn. 37(13): 54-66 (2006) - 2005
- [j1]Yoshihiro Ohama, Naohiro Fukumura, Yoji Uno:
A forward-propagation learning rule for neural inverse models using a method of recursive least squares. Syst. Comput. Jpn. 36(8): 71-80 (2005) - [c2]Yoshihiro Ohama, Naohiro Fukumura, Yoji Uno:
A Simplified Forward-Propagation Learning Rule Applied to Adaptive Closed-Loop Control. ICANN (2) 2005: 437-443 - 2004
- [c1]Yoshihiro Ohama, Naohiro Fukumura, Yoji Uno:
A Forward-Propagation Rule for Acquiring Neural Inverse Models Using a RLS Algorithm. ICONIP 2004: 585-591
Coauthor Index
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