Eisuke Yamagata
Eisuke Yamagata
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Zitiert von
Zitiert von
Pre-training without natural images
H Kataoka, K Okayasu, A Matsumoto, E Yamagata, R Yamada, N Inoue, ...
Proceedings of the Asian Conference on Computer Vision, 2020
Formula-driven supervised learning with recursive tiling patterns
H Kataoka, A Matsumoto, R Yamada, Y Satoh, E Yamagata, N Inoue
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Initialization using perlin noise for training networks with a limited amount of data
N Inoue, E Yamagata, H Kataoka
2020 25th International Conference on Pattern Recognition (ICPR), 1023-1028, 2021
Robust Time-Varying Graph Signal Recovery for Dynamic Physical Sensor Network Data
E Yamagata, S Ono
arXiv preprint arXiv:2202.06432, 2022
Spatiotemporal initialization for 3D CNNs with generated motion patterns
H Kataoka, K Hara, R Hayashi, E Yamagata, N Inoue
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
Recovery of time series of graph signals over dynamic topology
E Yamagata, S Ono
2021 Asia-Pacific Signal and Information Processing Association Annual …, 2021
Primal-Dual -Constrained Sparse Index Tracking
E Yamagata, S Ono
arXiv preprint arXiv:2309.10152, 2023
Sparse Index Tracking: Simultaneous Asset Selection and Capital Allocation via -Constrained Portfolio
E Yamagata, S Ono
arXiv e-prints, arXiv: 2309.10152, 2023
A Constrained Alternating Minimization Approach to End-to-End Graph Signal Denoising
E Yamagata, S Ono
IEICE Technical Report; IEICE Tech. Rep. 120 (398), 1-4, 2021
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