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ORCIDJun'ichi Miyao
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2020 – today
- 2023
[j5]Shinji Uchinoura, Jun'ichi Miyao, Takio Kurita:
An Object Detection Method Using Probability Maps for Instance Segmentation to Mask Background. J. Adv. Comput. Intell. Intell. Informatics 27(5): 886-895 (2023)- 2022
- [c20]Hidenori Ide, Hiromu Fujishige, Jun'ichi Miyao, Takio Kurita
:
Decomposition of Invariant and Variant Features by Using Convolutional Autoencoder. IW-FCV 2022: 97-111 - [c19]Simin Liu, Yuta Konishi, Jun'ichi Miyao, Takio Kurita:
Optimization of Re-ranking Based on k-Reciprocal for Vehicle Re-identification. IW-FCV 2022: 300-311 - [i5]Huipeng Zheng, Lukman Hakim, Takio Kurita, Jun'ichi Miyao:
Single-Image Super-Resolution Reconstruction based on the Differences of Neighboring Pixels. CoRR abs/2212.13730 (2022) - 2021
- [c18]Huipeng Zheng, Lukman Hakim, Takio Kurita, Jun'ichi Miyao:
Single-Image Super-Resolution Reconstruction Based on the Differences of Neighboring Pixels. ICONIP (5) 2021: 522-529 - [c17]Motoshi Abe, Jun'ichi Miyao, Takio Kurita:
Parametric q-Gaussian distributed stochastic neighbor embedding with Convolutional Neural Network. IJCNN 2021: 1-7 - [c16]Michiaki Ueda, Keijiro Kanda, Jun'ichi Miyao, Shogo Miyamoto, Yukiko Nakano, Takio Kurita:
Invariant Feature Extraction for CNN Classifier by using Gradient Reversal Layer. SMC 2021: 851-856 - 2020
- [j4]Jonathan Mojoo, Yu Zhao, Muthu Subash Kavitha, Jun'ichi Miyao, Takio Kurita:
Completion of Missing Labels for Multi-Label Annotation by a Unified Graph Laplacian Regularization. IEICE Trans. Inf. Syst. 103-D(10): 2154-2161 (2020) - [c15]Xiaohan Wang, Jun'ichi Miyao, Takio Kurita:
Short-Term Action Recognition by 3D Convolutional Neural Network with Pixel-Wise Evidences. IW-FCV 2020: 69-82 - [c14]Keijiro Kanda, Muthu Subash Kavitha, Jun'ichi Miyao, Takio Kurita:
Analysis of Information Flow in Hidden Layers of the Trained Neural Network by Canonical Correlation Analysis. IW-FCV 2020: 206-220 - [c13]Motoshi Abe, Jun'ichi Miyao, Takio Kurita:
q-SNE: Visualizing Data using q-Gaussian Distributed Stochastic Neighbor Embedding. ICPR 2020: 1051-1058 - [c12]Motoshi Abe, Jun'ichi Miyao, Takio Kurita:
Adaptive Neuron-wise Discriminant Criterion and Adaptive Center Loss at Hidden Layer for Deep Convolutional Neural Network. IJCNN 2020: 1-8 - [c11]Kakeru Mitsuno, Jun'ichi Miyao, Takio Kurita:
Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks. IJCNN 2020: 1-8 - [c10]Hideki Oki, Motoshi Abe, Jun'ichi Miyao, Takio Kurita:
Triplet Loss for Knowledge Distillation. IJCNN 2020: 1-7 - [c9]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 - [i4]Kakeru Mitsuno, Jun'ichi Miyao, Takio Kurita:
Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks. CoRR abs/2004.04394 (2020) - [i3]Motoshi Abe, Jun'ichi Miyao, Takio Kurita:
Adaptive Neuron-wise Discriminant Criterion and Adaptive Center Loss at Hidden Layer for Deep Convolutional Neural Network. CoRR abs/2004.08074 (2020) - [i2]Hideki Oki, Motoshi Abe, Jun'ichi Miyao, Takio Kurita:
Triplet Loss for Knowledge Distillation. CoRR abs/2004.08116 (2020) - [i1]Motoshi Abe, Jun'ichi Miyao, Takio Kurita:
q-SNE: Visualizing Data using q-Gaussian Distributed Stochastic Neighbor Embedding. CoRR abs/2012.00999 (2020)
2010 – 2019
- 2019
- [c8]Jonathan Mojoo, Yu Zhao, Muthu Subash Kavitha, Jun'ichi Miyao, Takio Kurita:
Learning with Incomplete Labels for Multi-label Image Annotation Using CNN and Restricted Boltzmann Machines. ICONIP (2) 2019: 286-298 - [c7]Hideki Oki, Jun'ichi Miyao, Takio Kurita:
Siamese Network for Classification with Optimization of AUC. ICONIP (2) 2019: 315-327 - 2017
- [c6]Hiromu Fujishige, Jun'ichi Miyao, Takio Kurita:
Image Inpainting by Recursive Estimation Using Neural Network and Wavelet Transformation. ICONIP (6) 2017: 652-661
1990 – 1999
- 1998
- [c5]Jun'ichi Miyao:
A Reliable Software Architecture for Complex Embedded Systems. ISORC 1998: 90- - 1995
- [j3]Yuichi Sakaue, Jun'ichi Miyao:
Concurrency Control with Permissible Serializability in Multi-Media Data Processings. IEICE Trans. Inf. Syst. 78-D(4): 336-344 (1995) - [c4]Jun'ichi Miyao, S. K. Chang:
Toward Uniform Presentation of Software Dynamics. SEKE 1995: 295 - [c3]Jun'ichi Miyao, Shi-Kuo Chang:
A Framework of a Visual Language with Dynamic Specification. VL 1995: 140-147
1980 – 1989
- 1989
- [c2]Jun'ichi Miyao, Shin'ichi Wakabayashi, Noriyoshi Yoshida, Yasushi Ohtahara:
Visualized and modeless programming environment for form manipulation language. VL 1989: 99-104 - 1988
- [j2]Jun'ichi Miyao, Kazuyuki Tominaga, Tohru Kikuno, Noriyoshi Yoshida:
Optimization of Multiple Queries in Relational Database Systems. Syst. Comput. Jpn. 19(4): 56-65 (1988) - 1987
- [j1]Jun'ichi Miyao, Tohru Kikuno, Noriyoshi Yoshida:
Response time minimization for processing simple queries in star networks. Syst. Comput. Jpn. 18(4): 11-23 (1987) - 1984
- [c1]Kazuo Sugihara, Jun'ichi Miyao, Tohru Kikuno, Noriyoshi Yoshida:
A Semantic Approach to Usability in Relational Database Systems. ICDE 1984: 203-210
Coauthor Index
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