Use of bootstrap samples in designing artificial neural network classifiers. - Yoshihiro Mitani; Yoshihiko Hamamoto; Shingo Tomita (ICNN, 1995)

Evaluation of an anti-regularization technique in neural networks. - Yoshihiko Hamamoto; Yoshihiro Mitani; H. Ishihara; Toshinori Hase; Shingo Tomita (ICPR, 1996)

A Note on the Generalization Error in Neural Networks. - Yoshihiko Hamamoto; Toshinori Hase; Yoshihiro Mitani; Shingo Tomita (IEA/AIE, 1996)

Evaluation of the Noise Injection in High Dimensions. - Yoshihiro Mitani; Yoshihiko Hamamoto; Shingo Tomita (MVA, 1996)

A Bootstrap-Based Learning with the Cross Validation. - Yoshihiro Mitani; Yoshihiko Hamamoto (ICONIP, 1998)

A gabor filter-based method for recognizing handwritten numerals. - Yoshihiko Hamamoto; Shunji Uchimura; Masanori Watanabe; Tetsuya Yasuda; Yoshihiro Mitani; Shingo Tomita (Pattern Recognit., 1998)

Classifier Design Based on the Use of Nearest Neighbor Samples. - Yoshihiro Mitani; Yoshihiko Hamamoto (ICPR, 2000)

Use of Bootstrap Samples in Quadratic Classifier Design. - Takashi Miyamoto; Yoshihiko Hamamoto; Yoshihiro Mitani (ICPR, 2000)

A Gabor filter-based classification for diffuse lung opacities in thin-section computed tomography images. - Yoshihiro Mitani; H. Hirayama; H. Yasuda; S. Kido; Yoshihiko Hamamoto; Kazuhiro Ueda; Naofumi Matsunaga (KES, 2000)

Combining the Gabor and Histogram Features for Classifying Diffuse Lung Opacities in Thin-Section Computed Tomography. - Yoshihiro Mitani; H. Yasuda; S. Kido; Kazuhiro Ueda; Naofumi Matsunaga; Yoshihiko Hamamoto (ICPR (1), 2002)

Artificial Images for Classifying Diffuse Lung Opacities in Thin-Section Computed Tomography Images. - Yoshihiro Mitani; Naofumi Matsunaga; Yoshihiko Hamamoto (ICPR (3), 2004)

A Study on Nonparametric Classifiers for a CAD System of Diffuse Lung Opacities in Thin-Section Computed Tomography Images. - Yoshihiro Mitani; Yusuke Fujita; Naofumi Matsunaga; Yoshihiko Hamamoto (KES, 2004)

A Method for Crack Detection on a Concrete Structure. - Yusuke Fujita; Yoshihiro Mitani; Yoshihiko Hamamoto (ICPR (3), 2006)

A local mean-based nonparametric classifier. - Yoshihiro Mitani; Yoshihiko Hamamoto (Pattern Recognit. Lett., 2006)

A Method for Reading a Resistor by Image Processing Techniques. - Yoshihiro Mitani; Yuuki Sugimura; Yoshihiko Hamamoto (KES (1), 2008)

The Use of a Local Histogram Feature Vector of Classifying Diffuse Lung Opacities in High-Resolution Computed Tomography. - Yoshihiro Mitani; Yusuke Fujita; Naofumi Matsunaga; Yoshihiko Hamamoto (IEA/AIE, 2012)

A note of liver cirrhosis classification on M-mode ultrasound images by higher-order local auto-correlation features. - K. Fujino; Yoshihiro Mitani; Takaya Hayashi 003; Yusuke Fujita; Yoshihiko Hamamoto; Makoto Segawa; Shuji Terai; Isao Sakaida (SoCPaR, 2013)

A study of pupil detection and tracking by image processing techniques for a human eye-computer interaction system. - Ryo Shimata; Yoshihiro Mitani; Tsumoru Ochiai (SNPD, 2015)

Training ROI Selection Based on MILBoost for Liver Cirrhosis Classification Using Ultrasound Images. - Yusuke Fujita; Yoshihiro Mitani; Yoshihiko Hamamoto; Makoto Segawa; Shuji Terai; Isao Sakaida (IEA/AIE, 2016)

Training sample selection based on self-training for liver cirrhosis classification using ultrasound images. - Yusuke Fujita; Yoshihiro Mitani; Yoshihiko Hamamoto; Makoto Segawa; Shuji Terai; Isao Sakaida (QCAV, 2017)

Effect of an Augmentation on CNNs in Classifying a Cirrhosis Liver on B-Mode Ultrasound Images. - Yoshihiro Mitani; Robert B. Fisher; Yusuke Fujita; Yoshihiko Hamamoto; Isao Sakaida (LifeTech, 2020)

Effects of transfer learning for handwritten digit classification in a small training sample size situation. - Yoshihiro Mitani; Naoki Yamaguchi; Yusuke Fujita; Yoshihiko Hamamoto (AICCC, 2022)

An evaluation of classifiers for reading resistor colors. - Yoshihiro Mitani; Wataru Yoshimura; Yoshihiko Hamamoto (AICCC, 2022)

Evaluation of feature extraction methods with ensemble learning for breast cancer classification. - Yuki Ono; Yoshihiro Mitani (LifeTech, 2022)

Image Correction Methods for Regions of Interest in Liver Cirrhosis Classification on CNNs. - Yoshihiro Mitani; Robert B. Fisher; Yusuke Fujita; Yoshihiko Hamamoto; Isao Sakaida (Sensors, 2022)

ROI Selection to Improve Prediction Performance of CNN for Cirrhosis Detection Using Ultrasound Images. - Kazuma Nakata; Yusuke Fujita; Yoshihiro Mitani; Yoshihiko Hamamoto; Makoto Segawa; Shuji Terai (GCCE, 2024)