年別の研究成果
年別の研究成果
フィンガープリント
Yoshiaki Yasumuraが活動している研究トピックを掘り下げます。このトピックラベルは、この研究者の研究成果に基づきます。これらがまとまってユニークなフィンガープリントを構成します。
- 1 類似のプロファイル
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Hand Motion Estimation using Super-Resolution of Multipoint Surface Electromyogram by Deep Learning
Fukushima, K. & Yasumura, Y., 2022, In: International Journal of Advanced Computer Science and Applications. 13, 10研究成果: Article › 査読
Open Access -
Three-Dimensional shape reconstruction from a single image by deep learning
Sakai, K. & Yasumura, Y., 2020, In: International Journal of Advanced Computer Science and Applications. 2, p. 347-351 5 p.研究成果: Article › 査読
Open Access1 被引用数 (Scopus) -
Reconstruction of a 3D model from single 2D image by GAN
Si, L. & Yasumura, Y., 2018, Multi-disciplinary Trends in Artificial Intelligence - 12th International Conference, MIWAI 2018, Proceedings. Malaka, R., Kaenampornpan, M., Nguyen, D. D. & Schwind, N. (eds.). Springer Verlag, p. 226-232 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11248 LNAI).研究成果: Conference contribution
2 被引用数 (Scopus) -
Three-dimensional shape reconstruction from a single image based on feature learning
Sakai, K. & Yasumura, Y., 2018 5月 30, 2018 International Workshop on Advanced Image Technology, IWAIT 2018. Institute of Electrical and Electronics Engineers Inc., p. 1-4 4 p.研究成果: Conference contribution
2 被引用数 (Scopus) -
Potential topics discovery from topic frequency transition with semi-supervised learning
Yasumura, Y., Takahashi, H. & Uehara, K., 2012 3月 27, Intelligent Information and Database Systems - 4th Asian Conference, ACIIDS 2012, Proceedings. PART 2 ed. p. 477-486 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7197 LNAI, no. PART 2).研究成果: Conference contribution
1 被引用数 (Scopus)