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Handwriting Prediction Considering Inter-Class Bifurcation Structures

Sep 27, 2020
Masaki Yamagata, Hideaki Hayashi, Seiichi Uchida

* Accepted at ICFHR2020 

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Regularized Pooling

May 06, 2020
Takato Otsuzuki, Hideaki Hayashi, Yuchen Zheng, Seiichi Uchida


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SDGM: Sparse Bayesian Classifier Based on a Discriminative Gaussian Mixture Model

Nov 14, 2019
Hideaki Hayashi, Seiichi Uchida


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A Neural Network Based on the Johnson $S_\mathrm{U}$ Translation System and Related Application to Electromyogram Classification

Nov 14, 2019
Hideaki Hayashi, Taro Shibanoki, Toshio Tsuji


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A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis

Nov 14, 2019
Hideaki Hayashi, Taro Shibanoki, Keisuke Shima, Yuichi Kurita, Toshio Tsuji

* IEEE Transactions on Neural Networks and Learning Systems, Vol. 26, No.12, pp. 3021-3033, 2015 
* Published in IEEE Transactions on Neural Networks and Learning Systems 

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Modality Conversion of Handwritten Patterns by Cross Variational Autoencoders

Jun 14, 2019
Taichi Sumi, Brian Kenji Iwana, Hideaki Hayashi, Seiichi Uchida

* to appear at the International Conference on Document Analysis and Recognition (ICDAR) 2019 

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Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection

May 31, 2019
Changhee Han, Leonardo Rundo, Ryosuke Araki, Yudai Nagano, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama, Hideaki Hayashi

* 9 pages, 7 figures, submitted to IEEE ACCESS 

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GlyphGAN: Style-Consistent Font Generation Based on Generative Adversarial Networks

May 30, 2019
Hideaki Hayashi, Kohtaro Abe, Seiichi Uchida

* To appear in Knowledge-Based Systems 

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A Trainable Multiplication Layer for Auto-correlation and Co-occurrence Extraction

May 30, 2019
Hideaki Hayashi, Seiichi Uchida

* In Proceedings of the 14th Asian Conference on Computer Vision (ACCV 2018) 

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ProbAct: A Probabilistic Activation Function for Deep Neural Networks

May 26, 2019
Joonho Lee, Kumar Shridhar, Hideaki Hayashi, Brian Kenji Iwana, Seokjun Kang, Seiichi Uchida


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Biosignal Generation and Latent Variable Analysis with Recurrent Generative Adversarial Networks

May 17, 2019
Shota Harada, Hideaki Hayashi, Seiichi Uchida


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Infinite Brain MR Images: PGGAN-based Data Augmentation for Tumor Detection

Mar 29, 2019
Changhee Han, Leonardo Rundo, Ryosuke Araki, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama, Hideaki Hayashi

* 13 pages, 6 figures, Accepted to Neural Approaches to Dynamics of Signal Exchanges as a Springer book chapter 

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