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Journal Articles
- 2024
[j4]Motoshi Abe
, Yuichiro Nomura, Takio Kurita:
Nonlinear dimensionality reduction with q-Gaussian distribution. Pattern Anal. Appl. 27(1): 26 (2024)- 2023
- [j3]Yuichiro Nomura, Takio Kurita:
Data Expansion Approach with Attention Mechanism for Learning with Noisy Labels. Int. J. Artif. Intell. Tools 32(1): 2350027:1-2350027:19 (2023) - 2022
- [j2]Yuichiro Nomura, Takio Kurita:
Consistency Regularization on Clean Samples for Learning with Noisy Labels. IEICE Trans. Inf. Syst. 105-D(2): 387-395 (2022) - [j1]Yuichiro Nomura, Takio Kurita:
Sample Selection Approach with Number of False Predictions for Learning with Noisy Labels. IEICE Trans. Inf. Syst. 105-D(10): 1759-1768 (2022)
Conference and Workshop Papers
- 2021
- [c3]Yuichiro Nomura, Takio Kurita:
Robust Training of Deep Neural Networks with Noisy Labels by Graph Label Propagation. IW-FCV 2021: 281-293 - 2020
- [c2]Kakeru Mitsuno, Yuichiro Nomura, Takio Kurita:
Channel Planting for Deep Neural Networks using Knowledge Distillation. ICPR 2020: 7573-7579 - [c1]Michiaki Ueda, Yuichiro Nomura, Jun'ichi Miyao, Takio Kurita, Hiroshi Yamada:
Non-negative Matrix Factorization of a set of Economic Time Series with Graph Based Smoothing of Basis Vectors and Sparseness of the Coefficients. SMC 2020: 824-829
Informal and Other Publications
- 2024
- [i2]Kentaro Hirahara, Chikahito Nakane, Hajime Ebisawa, Tsuyoshi Kuroda, Yohei Iwaki, Tomoyoshi Utsumi, Yuichiro Nomura, Makoto Koike, Hiroshi Mineno:
D4: Text-guided diffusion model-based domain adaptive data augmentation for vineyard shoot detection. CoRR abs/2409.04060 (2024) - 2020
- [i1]Kakeru Mitsuno, Yuichiro Nomura, Takio Kurita:
Channel Planting for Deep Neural Networks using Knowledge Distillation. CoRR abs/2011.02390 (2020)
Coauthor Index
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