Papers - MATSUMOTO, Tetsuya
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Semi-supervised Dimensionality Reduction for Content Based Image Retrieval Reviewed
T. Matsumoto, M. Yoshida, N. Ohnishi
Proceedings of the Twenty-sixth International Conference on Image and Vision Computing New Zealand 2011 (IVCNZ 2011) page： 422-426 2011.11
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Estimation of Crystal Orientation of Grains on Polycrystalline Silicon Substrate by Recurrent Neural Network Reviewed
Hikaru Kato, Soichiro Kamibeppu, Takuto Kojima, Tetsuya Matsumoto, Hiroaki Kudo, Yoshinori Takeuchi, Kentaro Kutsukake, Noritaka Usami
IEEJ Transactions on Electrical and Electronic Engineering Vol. 17 ( 11 ) page： 1685 - 1687 2022.7
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Informative patches sampling for image classification by utilizing bottom-up and top-down information Reviewed
S.Bai, T.Matsumoto, Y.Takeuchi, H.Kudo, N.Ohnishi
Machine Vision and Applications Vol. 24 ( 5 ) page： 959-970 2013.7
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Incorporating Contextual Information into Bag-of-Visual-Words Framework for Effective Object Categorization Reviewed
S.Bai, T.Matsumoto, Y.Takeuchi, H.Kudo, N.Ohnishi
IEICE Transactions on Information and Systems Vol. E95-D ( 12 ) page： 3060-3068 2012.12
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Incorporating Top-Down Guidance for Extracting Informative Patches for Image Classification Reviewed
Shuang BAI, Tetsuya MATSUMOTO, Yoshinori TAKEUCHI, Hiroaki KUDO, Noboru OHNISHI
IEICE Transactions on Information and Systems Vol. E95-D ( 3 ) page： 880-883 2012.3
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Detecting partial duplications in an image - The improvement of estimating rotation angle and reversal - Reviewed
Kei Tomizawa, Tetsuya Matsumoto, Hiroaki Kudo Yoshinori Takeuchi Noboru Ohnishi
Vol. 131 ( 12 ) page： 2121-2122 2011.12
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Reflection measurement system with telecentric optics for prediction of crystal orientation in large-scale multicrystalline structure Reviewed
T. Kojima, K. Hara, K. Kutsukake, T. Matsumoto, H. Kudo, N. Usami
Proceedings of the 33rd International Photovoltaic Science and Engineering Conference (PVSEC-33) 2022.11
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Image translation from two optical and one grain boundary images to distribution image of generation points of dislocations clusters in a multicrystalline silicon wafer Reviewed
H. Kudo, T. Kojima, K. Kutsukake, T. Matsumoto, N. Usami
Proceedings of the 33rd International Photovoltaic Science and Engineering Conference (PVSEC-33) 2022.11
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Improved Speech Separation Performance from Monaural Mixed Speech Based on Deep Embedding Network Reviewed
Shaoxiang Dang, Tetsuya Matsumoto, Hiroaki Kudo, Yoshinori Takeuchi
Vol. 142 ( 6 ) page： 643 - 649 2022.6
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Improvement of machine learning model for crystal orientation estimation by data augmentation Reviewed
T. Kojima, K. Hara, K. Kutsukake, T. Matsumoto, H. Kudo, N. Usami
Proceedings of the Materials Research Meeting (MRM 2021) 2021.12
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Features in optical image of generation points of dislocation clusters in multicrystalline silicon ingot predicted by transfer learning of convolutional neural network Reviewed
H. Kudo, T. Kojima, T. Matsumoto, K. Kutsukake, N. Usami
Proceedings of the Materials Research Meeting (MRM 2021) 2021.12
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A Restriction Training Recipe for Speech Separation on Sparsely Mixed Speech Reviewed
S.Dang, T.Matsumoto, H.Kudo, Y.Takeuchi
Proceedings of the 28th International Conference on Neural Information Processing 2021.12
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Twinning Network Graph Analysis on Ingot-scale Multicrystalline Structure Reviewed
T. Kojima, K. Kutsukake, T. Matsumoto, H. Kudo, N. Usami
Proceedings of the 2021 MRS Fall Meeting & Exhibit 2021.11
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Multicrystalline Informatics for High-Performance Crystals Invited
N. Usami, T. Kojima, K. Kutsukake, X. Liu, H. Kudo, T. Matsumoto, T. Yokoi, Y. Shimizu, Y. Ohno
Proceedings of the 2021 International Conference on Solid State Devices and Materials, SSDM 2021 2021.9
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Multicrystalline informatics: A methodology to realize high-performance crystals Invited
N. Usami, T. Kojima, K. Kutsukake, X. Liu, H. Kudo, T. Matsumoto, T. Yokoi, Y. Shimizu, Y. Ohno
Proceedings of the 2nd International Symposium on Modeling of Crystal Growth Processes and Devices 2021.7
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Improved Speech Separation Performance from Monaural Mixed Speech Based on Deep Embedding Network
Shaoxiang Dang, Tetsuya Matsumoto, Hiroaki Kudo, Yoshinori Takeuchi
Vol. 120 ( 409 ) page： 91-96 2021.3
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Prediction of Stress and Dislocations in Silicon Ingots using Artificial Neural Networks Reviewed
A. Boucetta,Y. Fukuda, K. Kutsukake, T. Kojima, H. Kudo,T. Matsumoto, and N. Usami
Proceedings of the 8th Asian Conference on Crystal Growth and Crystal Technology, CGCT-8, Virtual meeting 2021.3
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異弦同音を考慮したエレキギターの畳み込みニューラルネットワークに基づく自動採譜
松井俊暁, 松本哲也, 工藤博章, 竹内義則
電子情報通信学会パターン認識・メディア理解研究会 Vol. 120 ( 409 ) page： 97-102 2021.3
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Prediction of Stress and Dislocations in Silicon Ingots using Artificial Neural Networks Reviewed
A. Boucetta, Y. Fukuda, K. Kutsukake, T. Kojima, H. Kudo, T. Matsumoto, N. Usami
Proceedings of the 8th Asian Conference on Crystal Growth and Crystal Technology 2021.3
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Application of artificial neural network to predict distribution of dislocations in silicon ingots Reviewed
A. Boucetta,Y. Fukuda, K. Kutsukake, T. Kojima, H. Kudo,T. Matsumoto, N. Usami
Proceedings of the 30th International Photovoltaic Science and Engineering Conference (PVSEC-30) & Global Photovoltaic Conference 2020 (GPVC 2020) 2020.11