Hiroshi Tenmoto

14 papers B 4Journal 2Unranked 8
YearRankTypeTitle / Venue / Authors
2016 B conf
Simultaneous visualization of samples, features and multi-labels.
ICPR
Mineichi Kudo, Keigo Kimura, Michal Haindl, Hiroshi Tenmoto
2014 B conf
Signal Learning with Messages by Reinforcement Learning in Multi-agent Pursuit Problem.
KES
Kozue Noro, Hiroshi Tenmoto, Akimoto Kamiya
2008 — conf
Soft Feature Selection by Using a Histogram-Based Classifier.
SSPR/SPR
Hiroshi Tenmoto, Mineichi Kudo
2007 — conf
A Combination of Sample Subsets and Feature Subsets in One-Against-Other Classifiers.
MCS
Mineichi Kudo, Satoshi Shirai, Hiroshi Tenmoto
2005 — conf
Density- and Complexity-Regularization in Gaussian Mixture Bayesian Classifier.
WSTST
Hiroshi Tenmoto, Mineichi Kudo
2005 — conf
Finding and Auto-labeling of Task Groups on E-Mails and Documents.
KES (4)
Hiroshi Tenmoto, Mineichi Kudo
2004 — conf
Classifier-Independent Visualization of Supervised Data Structures Using a Graph.
SSPR/SPR
Hiroshi Tenmoto, Yasukuni Mori, Mineichi Kudo
2000 — conf
Selection of the Number of Components Using a Genetic Algorithm for Mixture Model Classifiers.
SSPR/SPR
Hiroshi Tenmoto, Mineichi Kudo, Masaru Shimbo
1999 B conf
Determination of the number of components based on class separability in mixture-based classifiers.
KES
Hiroshi Tenmoto, Mineichi Kudo, Masaru Shimbo
1998 B conf
A subclass-based mixture model for pattern recognition.
ICPR
Mineichi Kudo, Hiroshi Tenmoto, Satoru Sumiyoshi, Masaru Shimbo
1998 — conf
Appropriate initial component densities of mixture modeling for pattern recognition.
KES (2)
Mineichi Kudo, F. Taniguchi, Hiroshi Tenmoto, Masaru Shimbo
1998 — conf
MDL-Based Selection of the Number of Components in Mixture Models for Pattern Classification.
SSPR/SPR
Hiroshi Tenmoto, Mineichi Kudo, Masaru Shimbo
1998 J jnl
Piecewise linear classifiers preserving high local recognition rates.
Kybernetika
Hiroshi Tenmoto, Mineichi Kudo, Masaru Shimbo
1998 J jnl
Piecewise linear classifiers with an appropriate number of hyperplanes.
Pattern Recognit.
Hiroshi Tenmoto, Mineichi Kudo, Masaru Shimbo