The Influence Function of Principal Component Analysis by Self-Organizing Rule. - Isao Higuchi; Shinto Eguchi (Neural Comput., 1998)

Robust Blind Source Separation by Beta Divergence. - Mihoko Minami; Shinto Eguchi (Neural Comput., 2002)

The Most Robust Loss Function for Boosting. - Takafumi Kanamori; Takashi Takenouchi; Shinto Eguchi; Noboru Murata (ICONIP, 2004)

Supervised image classification based on adaboost with contextual weak classifiers. - Ryuei Nishii; Shinto Eguchi (IGARSS, 2004)

Genotyping of single nucleotide polymorphism using model-based clustering. - Hironori Fujisawa; Shinto Eguchi; Masaru Ushijima; Satoshi Miyata; Yoshio Miki; T. Muto; Masaaki Matsuura (Bioinform., 2004)

Robust Principal Component Analysis with Adaptive Selection for Tuning Parameters. - Isao Higuchi; Shinto Eguchi (J. Mach. Learn. Res., 2004)

Information Geometry of U-Boost and Bregman Divergence. - Noboru Murata; Takashi Takenouchi; Takafumi Kanamori; Shinto Eguchi (Neural Comput., 2004)

Robustifying AdaBoost by Adding the Naive Error Rate. - Takashi Takenouchi; Shinto Eguchi (Neural Comput., 2004)

GroupAdaBoost for Selecting Important Genes. - Takashi Takenouchi; Masaru Ushijima; Shinto Eguchi (BIBE, 2005)

Spatio-temporal contextual image classification based on Spatial AdaBoost. - Ryuei Nishii; Shinto Eguchi (IGARSS, 2005)

Supervised image classification by contextual AdaBoost based on posteriors in neighborhoods. - Ryuei Nishii; Shinto Eguchi (IEEE Trans. Geosci. Remote. Sens., 2005)

Identification of biomarkers from mass spectrometry data using a "common" peak approach. - Tadayoshi Fushiki; Hironori Fujisawa; Shinto Eguchi (BMC Bioinform., 2006)

Exploring Latent Structure of Mixture ICA Models by the Minimum ß-Divergence Method. - Md. Nurul Haque Mollah; Mihoko Minami; Shinto Eguchi (Neural Comput., 2006)

GroupAdaBoost: Accurate Prediction and Selection of Important Genes. - Takashi Takenouchi; Masaru Ushijima; Shinto Eguchi (Inf. Media Technol., 2007)

Robust Loss Functions for Boosting. - Takafumi Kanamori; Takashi Takenouchi; Shinto Eguchi; Noboru Murata (Neural Comput., 2007)

Robust Prewhitening for ICA by Minimizing beta-Divergence and Its Application to FastICA. - Md. Nurul Haque Mollah; Shinto Eguchi; Mihoko Minami (Neural Process. Lett., 2007)

Robust Composite Interval Mapping for QTL Analysis by Minimum beta-Divergence Method. - Md. Nurul Haque Mollah; Shinto Eguchi (BIBM, 2008)

Boosting Method for Local Learning in Statistical Pattern Recognition. - Masanori Kawakita; Shinto Eguchi (Neural Comput., 2008)

Robust Boosting Algorithm Against Mislabeling in Multiclass Problems. - Takashi Takenouchi; Shinto Eguchi; Noboru Murata; Takafumi Kanamori (Neural Comput., 2008)

SNEP: Simultaneous detection of nucleotide and expression polymorphisms using Affymetrix GeneChip. - Hironori Fujisawa; Youko Horiuchi; Yoshiaki Harushima; Toyoyuki Takada; Shinto Eguchi; Takako Mochizuki; Takayuki Sakaguchi; Toshihiko Shiroishi; Nori Kurata (BMC Bioinform., 2009)

Robust Kernel Principal Component Analysis. - Su-Yun Huang; Yi-Ren Yeh; Shinto Eguchi (Neural Comput., 2009)

A boosting method for maximizing the partial area under the ROC curve. - Osamu Komori; Shinto Eguchi (BMC Bioinform., 2010)

Entropy and Divergence Associated with Power Function and the Statistical Application. - Shinto Eguchi; Shogo Kato (Entropy, 2010)

Robust QTL analysis by minimum beta-divergence method. - Md. Nurul Haque Mollah; Shinto Eguchi (Int. J. Data Min. Bioinform., 2010)

Robust extraction of local structures by the minimum beta-divergence method. - Md. Nurul Haque Mollah; Nayeema Sultana; Mihoko Minami; Shinto Eguchi (Neural Networks, 2010)

Projective Power Entropy and Maximum Tsallis Entropy Distributions. - Shinto Eguchi; Osamu Komori; Shogo Kato (Entropy, 2011)

Boosting Learning Algorithm for Pattern Recognition and Beyond. - Osamu Komori; Shinto Eguchi (IEICE Trans. Inf. Syst., 2011)

An Extension of the Receiver Operating Characteristic Curve and AUC-Optimal Classification. - Takashi Takenouchi; Osamu Komori; Shinto Eguchi (Neural Comput., 2012)

Geometry on Positive Definite Matrices Induced from V-Potential Function. - Atsumi Ohara; Shinto Eguchi (GSI, 2013)

Statistical Analysis of Biomarkers for Personalized Medicine. - Shinto Eguchi; Shigeyuki Matsui; Su-Yun Huang; Chuhsing Kate Hsiao (Comput. Math. Methods Medicine, 2013)

Multiple Suboptimal Solutions for Prediction Rules in Gene Expression Data. - Osamu Komori; Mari Pritchard; Shinto Eguchi (Comput. Math. Methods Medicine, 2013)

Group Invariance of Information Geometry on q-Gaussian Distributions Induced by Beta-Divergence. - Atsumi Ohara; Shinto Eguchi (Entropy, 2013)

Robust Independent Component Analysis via Minimum Gamma -Divergence Estimation. - Pengwen Chen; Hung Hung; Osamu Komori; Su-Yun Huang; Shinto Eguchi (IEEE J. Sel. Top. Signal Process., 2013)

Density estimation with minimization of U-divergence. - Kanta Naito; Shinto Eguchi (Mach. Learn., 2013)

Duality of Maximum Entropy and Minimum Divergence. - Shinto Eguchi; Osamu Komori; Atsumi Ohara (Entropy, 2014)

Spontaneous Clustering via Minimum Gamma-Divergence. - Akifumi Notsu; Osamu Komori; Shinto Eguchi (Neural Comput., 2014)

Path Connectedness on a Space of Probability Density Functions. - Shinto Eguchi; Osamu Komori (GSI, 2015)

Binary Classification with a Pseudo Exponential Model and Its Application for Multi-Task Learning. - Takashi Takenouchi; Osamu Komori; Shinto Eguchi (Entropy, 2015)

Robust Clustering Method in the Presence of Scattered Observations. - Akifumi Notsu; Shinto Eguchi (Neural Comput., 2016)

Information Geometry of Predictor Functions in a Regression Model. - Shinto Eguchi; Katsuhiro Omae (GSI, 2017)

Quasi-linear score for capturing heterogeneous structure in biomarkers. - Katsuhiro Omae; Osamu Komori; Shinto Eguchi (BMC Bioinform., 2017)

Sampling bias correction in species distribution models by quasi-linear Poisson point process. - Osamu Komori; Shinto Eguchi; Yusuke Saigusa; Buntarou Kusumoto; Yasuhiro Kubota (Ecol. Informatics, 2020)

A Unified Formulation of k-Means, Fuzzy c-Means and Gaussian Mixture Model by the Kolmogorov-Nagumo Average. - Osamu Komori; Shinto Eguchi (Entropy, 2021)

Active Learning by Query by Committee with Robust Divergences. - Hideitsu Hino; Shinto Eguchi (CoRR, 2022)

Robust Self-Tuning Semiparametric PCA for Contaminated Elliptical Distribution. - Hung Hung; Su-Yun Huang; Shinto Eguchi (IEEE Trans. Signal Process., 2022)

A Generalized Mean Approach for Distributed-PCA. - Zhi-Yu Jou; Su-Yun Huang; Hung Hung; Shinto Eguchi (CoRR, 2024)

Robust minimum divergence estimation in a spatial Poisson point process. - Yusuke Saigusa; Shinto Eguchi; Osamu Komori (Ecol. Informatics, 2024)