Hiroshi Tenmoto

According to our database, Hiroshi Tenmoto authored at least 14 papers between 1998 and 2016.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2016

Simultaneous visualization of samples, features and multi-labels.

Mineichi Kudo, Keigo Kimura, Michal Haindl, Hiroshi Tenmoto

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2014

Signal Learning with Messages by Reinforcement Learning in Multi-agent Pursuit Problem.

Kozue Noro, Hiroshi Tenmoto, Akimoto Kamiya

Proceedings of the 18th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2014

2008

Soft Feature Selection by Using a Histogram-Based Classifier.

Hiroshi Tenmoto, Mineichi Kudo

Proceedings of the Structural, 2008

2007

A Combination of Sample Subsets and Feature Subsets in One-Against-Other Classifiers.

Mineichi Kudo, Satoshi Shirai, Hiroshi Tenmoto

Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

2005

Density- and Complexity-Regularization in Gaussian Mixture Bayesian Classifier.

Hiroshi Tenmoto, Mineichi Kudo

Proceedings of the Soft Computing as Transdisciplinary Science and Technology, 2005

Finding and Auto-labeling of Task Groups on E-Mails and Documents.

Hiroshi Tenmoto, Mineichi Kudo

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

2004

Classifier-Independent Visualization of Supervised Data Structures Using a Graph.

Hiroshi Tenmoto, Yasukuni Mori, Mineichi Kudo

Proceedings of the Structural, 2004

2000

Selection of the Number of Components Using a Genetic Algorithm for Mixture Model Classifiers.

Hiroshi Tenmoto, Mineichi Kudo, Masaru Shimbo

Proceedings of the Advances in Pattern Recognition, Joint IAPR International Workshops SSPR 2000 and SPR 2000, [8th International Workshop on Structural and Syntactic Pattern Recognition, 3rd International Workshop on Statistical Techniques in Pattern Recognition], Alicante, Spain, August 30, 2000

1999

Determination of the number of components based on class separability in mixture-based classifiers.

Hiroshi Tenmoto, Mineichi Kudo, Masaru Shimbo

Proceedings of the Third International Conference on Knowledge-Based Intelligent Information Engineering Systems, 1999

1998

Piecewise linear classifiers with an appropriate number of hyperplanes.

Hiroshi Tenmoto, Mineichi Kudo, Masaru Shimbo

Pattern Recognit., 1998

Piecewise linear classifiers preserving high local recognition rates.

Hiroshi Tenmoto, Mineichi Kudo, Masaru Shimbo

Kybernetika, 1998

MDL-Based Selection of the Number of Components in Mixture Models for Pattern Classification.

Hiroshi Tenmoto, Mineichi Kudo, Masaru Shimbo

Proceedings of the Advances in Pattern Recognition, 1998

Appropriate initial component densities of mixture modeling for pattern recognition.

Mineichi Kudo, F. Taniguchi, Hiroshi Tenmoto, Masaru Shimbo

Proceedings of the Knowledge-Based Intelligent Electronic Systems, 1998

A subclass-based mixture model for pattern recognition.

Mineichi Kudo, Hiroshi Tenmoto, Satoru Sumiyoshi, Masaru Shimbo

Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998