15 citations · 19 across the 12 of their papers we have counts for
13 papers
A Low-Cost Hybrid Reservoir Computing Model for Isolated Sign Language Video Recognition
Nitin Kumar Singh, Arie Rachmad Syulistyo, Yuichiro Tanaka +1
Sign language recognition (SLR) enhances communication between hearing and hearing-impaired individuals. Although deep learning (DL) has achieved promising performance in SLR, its…
CBM-Dual: A 65-nm Fully Connected Chaotic Boltzmann Machine Processor for Dual Function Simulated Annealing and Reservoir Computing
Kanta Yoshioka, Soshi Hirayae, Yuichiro Tanaka +3
This paper presents CBM-Dual, the first silicon-proven digital chaotic dynamics processor (CDP) supporting both simulated annealing (SA) and reservoir computing (RC). CBM-Dual enab…
Reservoir Computing inspired Matrix Multiplication-free Language Model
Takumi Shiratsuchi, Yuichiro Tanaka, Hakaru Tamukoh
Large language models (LLMs) have achieved state-of-the-art performance in natural language processing; however, their high computational cost remains a major bottleneck. In this s…
Sign Language Recognition using Parallel Bidirectional Reservoir Computing
Nitin Kumar Singh, Arie Rachmad Syulistyo, Yuichiro Tanaka +1
Sign language recognition (SLR) facilitates communication between deaf and hearing communities. Deep learning based SLR models are commonly used but require extensive computational…
Sign Language Recognition using Bidirectional Reservoir Computing
Nitin Kumar Singh, Arie Rachmad Syulistyo, Yuichiro Tanaka +1
Sign language recognition (SLR) facilitates communication between deaf and hearing individuals. Deep learning is widely used to develop SLR-based systems; however, it is computatio…
Hibikino-Musashi@Home 2025 Team Description Paper
Ryohei Kobayashi, Kosei Isomoto, Kosei Yamao +19
This paper provides an overview of the techniques employed by Hibikino-Musashi@Home, which intends to participate in the domestic standard platform league. The team developed a dat…
Hibikino-Musashi@Home 2024 Team Description Paper
Kosei Isomoto, Akinobu Mizutani, Fumiya Matsuzaki +25
This paper provides an overview of the techniques employed by Hibikino-Musashi@Home, which intends to participate in the domestic standard platform league. The team has developed a…
Hibikino-Musashi@Home 2023 Team Description Paper
Tomoya Shiba, Akinobu Mizutani, Yuga Yano +25
This paper describes an overview of the techniques of Hibikino-Musashi@Home, which intends to participate in the domestic standard platform league. The team has developed a dataset…
Hibikino-Musashi@Home 2022 Team Description Paper
Tomoya Shiba, Tomohiro Ono, Shoshi Tokuno +27
Our team, Hibikino-Musashi@Home (HMA), was founded in 2010. It is based in Japan in the Kitakyushu Science and Research Park. Since 2010, we have annually participated in the RoboC…
Hibikino-Musashi@Home 2018 Team Description Paper
Yutaro Ishida, Sansei Hori, Yuichiro Tanaka +14
Our team, Hibikino-Musashi@Home (the shortened name is HMA), was founded in 2010. It is based in the Kitakyushu Science and Research Park, Japan. We have participated in the RoboCu…
Hibikino-Musashi@Home 2019 Team Description Paper
Yuichiro Tanaka, Yutaro Ishida, Yushi Abe +12
Our team, Hibikino-Musashi@Home (HMA), was founded in 2010. It is based in the Kitakyushu Science and Research Park, Japan. Since 2010, we have participated in the RoboCup@Home Jap…
Hibikino-Musashi@Home 2020 Team Description Paper
Tomohiro Ono, Yuichiro Tanaka, Yutaro Ishida +17
Our team, Hibikino-Musashi@Home (HMA), was founded in 2010. It is based in Japan in the Kitakyushu Science and Research Park. Since 2010, we have annually participated in the RoboC…
Hibikino-Musashi@Home 2017 Team Description Paper
Sansei Hori, Yutaro Ishida, Yuta Kiyama +12
Our team Hibikino-Musashi@Home was founded in 2010. It is based in Kitakyushu Science and Research Park, Japan. Since 2010, we have participated in the RoboCup@Home Japan open comp…