栗田多喜夫

クリタタキオ | KURITA TAKIO

所属機関・部署：
職名：教授

研究分野 (1件)：生命、健康、医療情報学

研究キーワード (4件)：ニューラルネットワーク , 画像認識 , 機械学習 , パターン認識

競争的資金等の研究課題 (10件)：

全件表示

論文 (216件)：

Nomura, Yuichiro, Kurita, Takio. Data Expansion Approach with Attention Mechanism for Learning with Noisy Labels. INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS. 2023. 32. 01
Novanto Yudistira, Muthu Subash Kavitha, Jeny Rajan, Takio Kurita. Attention-effective multiple instance learning on weakly stem cell colony segmentation. Intelligent Systems with Applications. 2023. 17. 200187-200187
Nomura, Yuichiro, Kurita, Takio. Sample Selection Approach with Number of False Predictions for Learning with Noisy Labels. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS. 2022. E105D. 10. 1759-1768
Muthu Subash Kavitha, Prakash Gangadaran, Aurelia Jackson, Balu Alagar Venmathi Maran, Takio Kurita, Byeong-Cheol Ahn. Deep Neural Network Models for Colon Cancer Screening. Cancers. 2022. 14. 15. 3707-3707
Simin Liu, Yuta Konishi, Junichi Miyao and Takio Kurit. Optimization of Re-ranking based on k-reciprocal for Vehicle Re-identification. In: Sumi, K., Na, I.S., Kaneko, N. (eds) Frontiers of Computer Vision. IW-FCV 2022. Communications in Computer and Information Science. 2022. 1578. 300-311

MISC (154件)：

田中孝二郎, ライチェフビゼル, 栗田多喜夫, 玉木徹, 金田和文. 回帰型CNNを用いたiPS細胞の分化・未分化検出 (クラウドネットワークロボット). 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報. 2018. 117. 443. 109-114
田中孝二郎, ライチェフビゼル, 栗田多喜夫, 玉木徹, 金田和文. 回帰型CNNを用いたiPS細胞の分化・未分化検出 (パターン認識・メディア理解). 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報. 2018. 117. 442. 109-114
黒澤圭一, JONATHAN Mojoo, 栗田多喜夫. Graph Laplacian regularizer based on the label co-occurrence dependency for multi-label image annotation (バイオメトリクス). 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報. 2017. 116. 527. 117-122
井手秀徳, 栗田多喜夫. Analysis of Sparse Regularization for ReLU Activation Function in CNN (バイオメトリクス). 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報. 2017. 116. 527. 123-128
黒澤圭一, JONATHAN Mojoo, 栗田多喜夫. Graph Laplacian regularizer based on the label co-occurrence dependency for multi-label image annotation (パターン認識・メディア理解). 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報. 2017. 116. 528. 117-122

講演・口頭発表等 (2件)：

Kernel function used in the optimum nonlinear discriminant analysis
(The 9th Conference of the Asian Regional Section of the IASC (IASC-ARS 2015) 2015)
Improvement of Generalization Performance of Optimal Nonlinear Discriminant Analysis
(the 47th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS’15) 2015)

学歴 (1件)：

学位 (1件)：

経歴 (6件)：

全件表示

受賞 (4件)：

2021/02/23 - Soon Ki Jung (General Chair),Hieyong Jeong (Program Chair) The 27th International Workshop on Frontiers of Computer Vision, Best Paper Award Robust Training of Deep Neural Networks with Noisy Labels by Graph Label Propagation
2015/01/30 - The 21th Japan-Korea Joint Workshop on Frontiers of Computer Vision Best Paper Award of the 21th Japan-Korea Joint Workshop on Frontiers of Computer Vision Nonlinear Discriminant Anlaysis Using k Nearest Neighbor Estimation
2015/01/30 - The 21th Japan-Korea Joint Workshop on Frontiers of Computer Vision Best Paper Award of the 21th Japan-Korea Joint Workshop on Frontiers of Computer Vision Nonlinear Discriminant Anlaysis Using k Nearest Neighbor Estimation
2013/05/22 - MVA2013 General chair and Program Chair IAPR MVA2013(International Conference on Machine Vision Application2013) The Most Influential Paper over the Decade Award

所属学会 (3件)：

電気学会 , 日本神経回路学会 , 電子情報通信学会

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栗田 多喜夫