Yoshihiro Ohama

According to our database, Yoshihiro Ohama authored at least 9 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

MARPF: Multi-Agent and Multi-Rack Path Finding.

Hiroya Makino, Yoshihiro Ohama, Seigo Ito

CoRR, 2024

2021

Improvements in Perpendicular Reverse Parking by Directing Drivers' Preliminary Behavior.

Yoshihiro Ohama, Kakeru Tanaka, Hiroshi Yasuda, Kainosuke Obata, Naohiro Fukumura

IEEE Access, 2021

CIM: Constraint-based Intersection Management in Mixture of Non-Connected Vehicles.

Akinobu Fujii, Bunyo Okumura, Yoshihiro Ohama, Akihiro Nakamura, Kunihiro Goto, Tsukasa Shimizu

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2017

A Parallel Forward-Backward Propagation Learning Scheme for Auto-Encoders.

Yoshihiro Ohama, Takayoshi Yoshimura

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2012

Toward a practical wall see-through system for drivers: How simple can it be?

Hiroshi Yasuda, Yoshihiro Ohama

Proceedings of the 11th IEEE International Symposium on Mixed and Augmented Reality, 2012

2006

A forward-propagation learning rule for neural inverse models in consideration of the correlation of propagated errors.

Yoshihiro Ohama, Naohiro Fukumura, Yoji Uno

Syst. Comput. Jpn., 2006

2005

A forward-propagation learning rule for neural inverse models using a method of recursive least squares.

Yoshihiro Ohama, Naohiro Fukumura, Yoji Uno

Syst. Comput. Jpn., 2005

A Simplified Forward-Propagation Learning Rule Applied to Adaptive Closed-Loop Control.

Yoshihiro Ohama, Naohiro Fukumura, Yoji Uno

Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

2004

A Forward-Propagation Rule for Acquiring Neural Inverse Models Using a RLS Algorithm.

Yoshihiro Ohama, Naohiro Fukumura, Yoji Uno

Proceedings of the Neural Information Processing, 11th International Conference, 2004