Shinto Eguchi

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 10

Top Topics

Query By Committee

Clustering Method

Gaussian Mixture

Bias Correction

Top Venues

Ecol. Informatics

Publications

Yusuke Saigusa, Shinto Eguchi, Osamu Komori
Robust minimum divergence estimation in a spatial Poisson point process. Ecol. Informatics 81 (2024)
Hung Hung, Su-Yun Huang, Shinto Eguchi
Robust Self-Tuning Semiparametric PCA for Contaminated Elliptical Distribution. IEEE Trans. Signal Process. 70 (2022)
Hideitsu Hino, Shinto Eguchi
Active Learning by Query by Committee with Robust Divergences. CoRR (2022)
Osamu Komori, Shinto Eguchi
A Unified Formulation of k-Means, Fuzzy c-Means and Gaussian Mixture Model by the Kolmogorov-Nagumo Average. Entropy 23 (5) (2021)
Osamu Komori, Shinto Eguchi, Yusuke Saigusa, Buntarou Kusumoto, Yasuhiro Kubota
Sampling bias correction in species distribution models by quasi-linear Poisson point process. Ecol. Informatics 55 (2020)
Shinto Eguchi, Katsuhiro Omae
Information Geometry of Predictor Functions in a Regression Model. GSI (2017)
Katsuhiro Omae, Osamu Komori, Shinto Eguchi
Quasi-linear score for capturing heterogeneous structure in biomarkers. BMC Bioinform. 18 (1) (2017)
Akifumi Notsu, Shinto Eguchi
Robust Clustering Method in the Presence of Scattered Observations. Neural Comput. 28 (6) (2016)
Takashi Takenouchi, Osamu Komori, Shinto Eguchi
Binary Classification with a Pseudo Exponential Model and Its Application for Multi-Task Learning. Entropy 17 (8) (2015)
Shinto Eguchi, Osamu Komori
Path Connectedness on a Space of Probability Density Functions. GSI (2015)
Shinto Eguchi, Osamu Komori, Atsumi Ohara
Duality of Maximum Entropy and Minimum Divergence. Entropy 16 (7) (2014)
Akifumi Notsu, Osamu Komori, Shinto Eguchi
Spontaneous Clustering via Minimum Gamma-Divergence. Neural Comput. 26 (2) (2014)
Atsumi Ohara, Shinto Eguchi
-Gaussian Distributions Induced by Beta-Divergence. Entropy 15 (11) (2013)
Shinto Eguchi, Shigeyuki Matsui, Su-Yun Huang, Chuhsing Kate Hsiao
Statistical Analysis of Biomarkers for Personalized Medicine. Comput. Math. Methods Medicine 2013 (2013)
Kanta Naito, Shinto Eguchi
Density estimation with minimization of U-divergence. Mach. Learn. 90 (1) (2013)
Osamu Komori, Mari Pritchard, Shinto Eguchi
Multiple Suboptimal Solutions for Prediction Rules in Gene Expression Data. Comput. Math. Methods Medicine 2013 (2013)
Atsumi Ohara, Shinto Eguchi
Geometry on Positive Definite Matrices Induced from V-Potential Function. GSI (2013)
Pengwen Chen, Hung Hung, Osamu Komori, Su-Yun Huang, Shinto Eguchi
Robust Independent Component Analysis via Minimum Gamma -Divergence Estimation. IEEE J. Sel. Top. Signal Process. 7 (4) (2013)
Takashi Takenouchi, Osamu Komori, Shinto Eguchi
An Extension of the Receiver Operating Characteristic Curve and AUC-Optimal Classification. Neural Comput. 24 (10) (2012)
Shinto Eguchi, Osamu Komori, Shogo Kato
Projective Power Entropy and Maximum Tsallis Entropy Distributions. Entropy 13 (10) (2011)
Osamu Komori, Shinto Eguchi
Boosting Learning Algorithm for Pattern Recognition and Beyond. IEICE Trans. Inf. Syst. (10) (2011)
Osamu Komori, Shinto Eguchi
A boosting method for maximizing the partial area under the ROC curve. BMC Bioinform. 11 (2010)
Md. Nurul Haque Mollah, Nayeema Sultana, Mihoko Minami, Shinto Eguchi
Robust extraction of local structures by the minimum beta-divergence method. Neural Networks 23 (2) (2010)
Md. Nurul Haque Mollah, Shinto Eguchi
Robust QTL analysis by minimum beta-divergence method. Int. J. Data Min. Bioinform. 4 (4) (2010)
Shinto Eguchi, Shogo Kato
Entropy and Divergence Associated with Power Function and the Statistical Application. Entropy 12 (2) (2010)
Hironori Fujisawa, Youko Horiuchi, Yoshiaki Harushima, Toyoyuki Takada, Shinto Eguchi, Takako Mochizuki, Takayuki Sakaguchi, Toshihiko Shiroishi, Nori Kurata
SNEP: Simultaneous detection of nucleotide and expression polymorphisms using Affymetrix GeneChip. BMC Bioinform. 10 (2009)
Su-Yun Huang, Yi-Ren Yeh, Shinto Eguchi
Robust Kernel Principal Component Analysis. Neural Comput. 21 (11) (2009)
Takashi Takenouchi, Shinto Eguchi, Noboru Murata, Takafumi Kanamori
Robust Boosting Algorithm Against Mislabeling in Multiclass Problems. Neural Comput. 20 (6) (2008)
Md. Nurul Haque Mollah, Shinto Eguchi
Robust Composite Interval Mapping for QTL Analysis by Minimum beta-Divergence Method. BIBM (2008)
Masanori Kawakita, Shinto Eguchi
Boosting Method for Local Learning in Statistical Pattern Recognition. Neural Comput. 20 (11) (2008)
Md. Nurul Haque Mollah, Shinto Eguchi, Mihoko Minami
-Divergence and Its Application to FastICA. Neural Process. Lett. 25 (2) (2007)
Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi, Noboru Murata
Robust Loss Functions for Boosting. Neural Comput. 19 (8) (2007)
Takashi Takenouchi, Masaru Ushijima, Shinto Eguchi
GroupAdaBoost: Accurate Prediction and Selection of Important Genes. Inf. Media Technol. 2 (2) (2007)
Tadayoshi Fushiki, Hironori Fujisawa, Shinto Eguchi
Identification of biomarkers from mass spectrometry data using a "common" peak approach. BMC Bioinform. 7 (2006)
Md. Nurul Haque Mollah, Mihoko Minami, Shinto Eguchi
Exploring Latent Structure of Mixture ICA Models by the Minimum ß-Divergence Method. Neural Comput. 18 (1) (2006)
Ryuei Nishii, Shinto Eguchi
Supervised image classification by contextual AdaBoost based on posteriors in neighborhoods. IEEE Trans. Geosci. Remote. Sens. 43 (11) (2005)
Takashi Takenouchi, Masaru Ushijima, Shinto Eguchi
GroupAdaBoost for Selecting Important Genes. BIBE (2005)
Ryuei Nishii, Shinto Eguchi
Spatio-temporal contextual image classification based on Spatial AdaBoost. IGARSS (2005)
Ryuei Nishii, Shinto Eguchi
Supervised image classification based on adaboost with contextual weak classifiers. IGARSS (2004)
Hironori Fujisawa, Shinto Eguchi, Masaru Ushijima, Satoshi Miyata, Yoshio Miki, T. Muto, Masaaki Matsuura
Genotyping of single nucleotide polymorphism using model-based clustering. Bioinform. 20 (5) (2004)
Isao Higuchi, Shinto Eguchi
Robust Principal Component Analysis with Adaptive Selection for Tuning Parameters. J. Mach. Learn. Res. 5 (2004)
Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi, Noboru Murata
The Most Robust Loss Function for Boosting. ICONIP (2004)
Noboru Murata, Takashi Takenouchi, Takafumi Kanamori, Shinto Eguchi
Information Geometry of U-Boost and Bregman Divergence. Neural Comput. 16 (7) (2004)
Takashi Takenouchi, Shinto Eguchi
Robustifying AdaBoost by Adding the Naive Error Rate. Neural Comput. 16 (4) (2004)
Mihoko Minami, Shinto Eguchi
Robust Blind Source Separation by Beta Divergence. Neural Comput. 14 (8) (2002)
Isao Higuchi, Shinto Eguchi
The Influence Function of Principal Component Analysis by Self-Organizing Rule. Neural Comput. 10 (6) (1998)