Yoshihiko Hamamoto

According to our database, Yoshihiko Hamamoto authored at least 55 papers between 1990 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Proceedings of the 13th IEEE Global Conference on Consumer Electronics, 2024

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

An evaluation of classifiers for reading resistor colors.

Yoshihiro Mitani, Wataru Yoshimura, Yoshihiko Hamamoto

Proceedings of the 5th Artificial Intelligence and Cloud Computing Conference, 2022

Effects of transfer learning for handwritten digit classification in a small training sample size situation.

Yoshihiro Mitani, Naoki Yamaguchi, Yusuke Fujita, Yoshihiko Hamamoto

Proceedings of the 5th Artificial Intelligence and Cloud Computing Conference, 2022

2020

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

Proceedings of the 2nd IEEE Global Conference on Life Sciences and Technologies, 2020

2018

A Network-Based Event Detection Module Using NTP for Cyber Attacks on IoT.

Tamotsu Kawamura, Masaru Fukushi, Yasushi Hirano, Yusuke Fujita, Yoshihiko Hamamoto

Proceedings of the Sixth International Symposium on Computing and Networking, 2018

2017

An Automated Self-Learning Quantification System to Identify Visible Areas in Capsule Endoscopy Images.

Shinichi Hashimoto, Hiroyuki Ogihara, Masato Suenaga, Yusuke Fujita, Shuji Terai, Yoshihiko Hamamoto, Isao Sakaida

J. Medical Syst., 2017

A method based on machine learning using hand-crafted features for crack detection from asphalt pavement surface images.

Yusuke Fujita, Koji Shimada, Manabu Ichihara, Yoshihiko Hamamoto

Proceedings of the Thirteenth International Conference on Quality Control by Artificial Vision, 2017

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

Proceedings of the Thirteenth International Conference on Quality Control by Artificial Vision, 2017

2016

Development of a Gastric Cancer Diagnostic Support System with a Pattern Recognition Method Using a Hyperspectral Camera.

Hiroyuki Ogihara, Yoshihiko Hamamoto, Yusuke Fujita, Atsushi Goto, Jun Nishikawa, Isao Sakaida

J. Sensors, 2016

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

Proceedings of the Trends in Applied Knowledge-Based Systems and Data Science, 2016

2014

A Method of Bubble Removal for Computer-Assisted Diagnosis of Capsule Endoscopic Images.

Masato Suenaga, Yusuke Fujita, Shinichi Hashimoto, Shuji Terai, Isao Sakaida, Yoshihiko Hamamoto

Proceedings of the Modern Advances in Applied Intelligence, 2014

Comparative Study of Classifiers for Prediction of Recurrence of Liver Cancer Using Binary Patterns.

Hiroyuki Ogihara, Yusuke Fujita, Norio Iizuka, Masaaki Oka, Yoshihiko Hamamoto

Proceedings of the Modern Advances in Applied Intelligence, 2014

2013

A note of liver cirrhosis classification on M-mode ultrasound images by higher-order local auto-correlation features.

K. Fujino, Yoshihiro Mitani, Takaya Hayashi, Yusuke Fujita, Yoshihiko Hamamoto, Makoto Segawa, Shuji Terai, Isao Sakaida

Proceedings of the 2013 International Conference on Soft Computing and Pattern Recognition, 2013

Classification Based on Boolean Algebra and Its Application to the Prediction of Recurrence of Liver Cancer.

Hiroyuki Ogihara, Yusuke Fujita, Yoshihiko Hamamoto, Norio Iizuka, Masaaki Oka

Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013

2012

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

Proceedings of the Advanced Research in Applied Artificial Intelligence, 2012

2011

A robust automatic crack detection method from noisy concrete surfaces.

Yusuke Fujita, Yoshihiko Hamamoto

Mach. Vis. Appl., 2011

2010

An Improved Method for Cirrhosis Detection Using Liver's Ultrasound Images.

Yusuke Fujita, Yoshihiko Hamamoto, Makoto Segawa, Shuji Terai, Isao Sakaida

Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009

A Robust Method for Automatically Detecting Cracks on Noisy Concrete Surfaces.

Yusuke Fujita, Yoshihiko Hamamoto

Proceedings of the Next-Generation Applied Intelligence, 2009

2008

A Method for Reading a Resistor by Image Processing Techniques.

Yoshihiro Mitani, Yuuki Sugimura, Yoshihiko Hamamoto

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

Visualization of transitions of developing of hepatitis C virus-associated hepatocellular carcinoma.

Takanobu Miyamoto, Yusuke Fujita, Shunji Uchimura, Yoshihiko Hamamoto, Norio Iizuka, Masaaki Oka

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2006

A local mean-based nonparametric classifier.

Yoshihiro Mitani, Yoshihiko Hamamoto

Pattern Recognit. Lett., 2006

A Method for Crack Detection on a Concrete Structure.

Yusuke Fujita, Yoshihiro Mitani, Yoshihiko Hamamoto

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

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

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

Comparison of Microarray-Based Predictive Systems for Early Recurrence of Cancer.

Takanobu Miyamoto, Shunji Uchimura, Yoshihiko Hamamoto, Norio Iizuka, Masaaki Oka

Proceedings of the 17th International Conference on Pattern Recognition, 2004

Artificial Images for Classifying Diffuse Lung Opacities in Thin-Section Computed Tomography Images.

Yoshihiro Mitani, Naofumi Matsunaga, Yoshihiko Hamamoto

Proceedings of the 17th International Conference on Pattern Recognition, 2004

2002

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

Proceedings of the 16th International Conference on Pattern Recognition, 2002

2001

Improvement of the Parzen classifier in small training sample size situations.

Yoshihiko Muto, Yoshihiko Hamamoto

Intell. Data Anal., 2001

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

Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000

Evaluation of a Modified Parzen Classifier in High Dimensional Spaces.

Yoshihiko Muto, Hirokazu Nagase, Yoshihiko Hamamoto

Proceedings of the 15th International Conference on Pattern Recognition, 2000

Use of Bootstrap Samples in Quadratic Classifier Design.

Takashi Miyamoto, Yoshihiko Hamamoto, Yoshihiro Mitani

Proceedings of the 15th International Conference on Pattern Recognition, 2000

Classifier Design Based on the Use of Nearest Neighbor Samples.

Yoshihiro Mitani, Yoshihiko Hamamoto

Proceedings of the 15th International Conference on Pattern Recognition, 2000

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

Analysis of Gabor Parameters for Handwritten Numeral Recognition by Experimental Design.

Shunji Uchimura, Kiyoshi Mizuno, Yoshihiko Hamamoto, Shingo Tomita

Proceedings of the Advances in Pattern Recognition, 1998

A Bootstrap-Based Learning with the Cross Validation.

Yoshihiro Mitani, Yoshihiko Hamamoto

Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1997

A Bootstrap Technique for Nearest Neighbor Classifier Design.

Yoshihiko Hamamoto, Shunji Uchimura, Shingo Tomita

IEEE Trans. Pattern Anal. Mach. Intell., 1997

Normalization Techniques of Handwritten Numerals for Gabor Filters.

Masanori Watanabe, Yoshihiko Hamamoto, Tetsuya Yasuda, Shingo Tomita

Proceedings of the 4th International Conference Document Analysis and Recognition (ICDAR '97), 1997

1996

On the estimation of a covariance matrix in designing Parzen classifiers.

Yoshihiko Hamamoto, Yasushi Fujimoto, Shingo Tomita

Pattern Recognit., 1996

On the Behavior of Artificial Neural Network Classifiers in High-Dimensional Spaces.

Yoshihiko Hamamoto, Shunji Uchimura, Shingo Tomita

IEEE Trans. Pattern Anal. Mach. Intell., 1996

Evaluation of the Noise Injection in High Dimensions.

Yoshihiro Mitani, Yoshihiko Hamamoto, Shingo Tomita

Proceedings of IAPR Workshop on Machine Vision Applications, 1996

Selection of Representatives Using Genetic Algorithms.

Yoshihiko Hamamoto, Y. Tsuneta, C. Kaneyama, Shingo Tomita

Proceedings of the Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1996

A Note on the Generalization Error in Neural Networks.

Yoshihiko Hamamoto, Toshinori Hase, Yoshihiro Mitani, Shingo Tomita

Proceedings of the Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1996

Recognition of handwritten numerals using Gabor features.

Yoshihiko Hamamoto, Shunji Uchimura, Masanori Watanabe, Tetsuya Yasuda, Shingo Tomita

Proceedings of the 13th International Conference on Pattern Recognition, 1996

Evaluation of an anti-regularization technique in neural networks.

Yoshihiko Hamamoto, Yoshihiro Mitani, H. Ishihara, Toshinori Hase, Shingo Tomita

Proceedings of the 13th International Conference on Pattern Recognition, 1996

1995

Effects of the sample size in artificial neural network classifier design.

Shunji Uchimura, Yoshihiko Hamamoto, Shingo Tomita

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

On the effect of the nonlinearity of the sigmoid function in artificial neural network classifiers.

Shunji Uchimura, Yoshihiko Hamamoto, Shingo Tomita

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

Use of bootstrap samples in designing artificial neural network classifiers.

Yoshihiro Mitani, Yoshihiko Hamamoto, Shingo Tomita

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

Recognition of handprinted Chinese characters using Gabor features.

Yoshihiko Hamamoto, Shunji Uchimura, K. Masamizu, Shingo Tomita

Proceedings of the Third International Conference on Document Analysis and Recognition, 1995

1994

Use of Gradated Patterns in An Associative Neural Memory for Invariant Pattern Recognition.

Kazukuni Kobara, Taiho Kanaoka, Yoshihiko Hamamoto, Shingo Tomita, Koukichi Munechika

Int. J. Pattern Recognit. Artif. Intell., 1994

1993

On a theoretical comparison between the orthonormal discriminant vector method and discriminant analysis.

Yoshihiko Hamamoto, Taiho Kanaoka, Shingo Tomita

Pattern Recognit., 1993

1992

A searching method of the most similar string in the file of a document retrieval system.

Kiyohiro Kobayashi, Tsuguyasu Imamura, Masashi Takahashi, Fumiko Kubota, Taiho Kanaoka, Yoshihiko Hamamoto, Shingo Tomita

Syst. Comput. Jpn., 1992

Orthogonal discriminant analysis based on a modified Fisher criterion [feature extraction].

Yoshihiko Hamamoto, Akihiko Ohama, Taiho Kanaoka, Shingo Tomita

Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992

1991

A note on the orthonormal discriminant vector method for feature extraction.

Yoshihiko Hamamoto, Yutaka Matsuura, Taiho Kanaoka, Shingo Tomita

Pattern Recognit., 1991

1990

Evaluation of the branch and bound algorithm for feature selection.

Yoshihiko Hamamoto, Shunji Uchimura, Yutaka Matsuura, Taiho Kanaoka, Shingo Tomita

Pattern Recognit. Lett., 1990

Orthogonal discriminant analysis for interactive pattern analysis.

Yoshihiko Hamamoto, Taiho Kanaoka, Shingo Tomita

Proceedings of the 10th IAPR International Conference on Pattern Recognition, 1990