Shinto Eguchi

Orcid: 0000-0002-3974-618X

According to our database1, Shinto Eguchi authored at least 47 papers between 1998 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Robust minimum divergence estimation in a spatial Poisson point process.
Ecol. Informatics, 2024

A Generalized Mean Approach for Distributed-PCA.
CoRR, 2024

2022
Robust Self-Tuning Semiparametric PCA for Contaminated Elliptical Distribution.
IEEE Trans. Signal Process., 2022

Active Learning by Query by Committee with Robust Divergences.
CoRR, 2022

2021
A Unified Formulation of k-Means, Fuzzy c-Means and Gaussian Mixture Model by the Kolmogorov-Nagumo Average.
Entropy, 2021

2020
Sampling bias correction in species distribution models by quasi-linear Poisson point process.
Ecol. Informatics, 2020

2017
Quasi-linear score for capturing heterogeneous structure in biomarkers.
BMC Bioinform., 2017

Information Geometry of Predictor Functions in a Regression Model.
Proceedings of the Geometric Science of Information - Third International Conference, 2017

2016
Robust Clustering Method in the Presence of Scattered Observations.
Neural Comput., 2016

2015
Binary Classification with a Pseudo Exponential Model and Its Application for Multi-Task Learning.
Entropy, 2015

Path Connectedness on a Space of Probability Density Functions.
Proceedings of the Geometric Science of Information - Second International Conference, 2015

2014
Spontaneous Clustering via Minimum Gamma-Divergence.
Neural Comput., 2014

Duality of Maximum Entropy and Minimum Divergence.
Entropy, 2014

2013
Density estimation with minimization of U-divergence.
Mach. Learn., 2013

Robust Independent Component Analysis via Minimum Gamma -Divergence Estimation.
IEEE J. Sel. Top. Signal Process., 2013

Group Invariance of Information Geometry on <i>q</i>-Gaussian Distributions Induced by Beta-Divergence.
Entropy, 2013

Multiple Suboptimal Solutions for Prediction Rules in Gene Expression Data.
Comput. Math. Methods Medicine, 2013

Statistical Analysis of Biomarkers for Personalized Medicine.
Comput. Math. Methods Medicine, 2013

Geometry on Positive Definite Matrices Induced from V-Potential Function.
Proceedings of the Geometric Science of Information - First International Conference, 2013

2012
An Extension of the Receiver Operating Characteristic Curve and AUC-Optimal Classification.
Neural Comput., 2012

2011
Boosting Learning Algorithm for Pattern Recognition and Beyond.
IEICE Trans. Inf. Syst., 2011

Projective Power Entropy and Maximum Tsallis Entropy Distributions.
Entropy, 2011

2010
Robust extraction of local structures by the minimum beta-divergence method.
Neural Networks, 2010

Robust QTL analysis by minimum beta-divergence method.
Int. J. Data Min. Bioinform., 2010

Entropy and Divergence Associated with Power Function and the Statistical Application.
Entropy, 2010

A boosting method for maximizing the partial area under the ROC curve.
BMC Bioinform., 2010

2009
Robust Kernel Principal Component Analysis.
Neural Comput., 2009

SNEP: Simultaneous detection of nucleotide and expression polymorphisms using Affymetrix GeneChip.
BMC Bioinform., 2009

2008
Robust Boosting Algorithm Against Mislabeling in Multiclass Problems.
Neural Comput., 2008

Boosting Method for Local Learning in Statistical Pattern Recognition.
Neural Comput., 2008

Robust Composite Interval Mapping for QTL Analysis by Minimum beta-Divergence Method.
Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008

2007
Robust Prewhitening for ICA by Minimizing <i>beta</i>-Divergence and Its Application to FastICA.
Neural Process. Lett., 2007

Robust Loss Functions for Boosting.
Neural Comput., 2007

GroupAdaBoost: Accurate Prediction and Selection of Important Genes.
Inf. Media Technol., 2007

2006
Exploring Latent Structure of Mixture ICA Models by the Minimum ß-Divergence Method.
Neural Comput., 2006

Identification of biomarkers from mass spectrometry data using a "common" peak approach.
BMC Bioinform., 2006

2005
Supervised image classification by contextual AdaBoost based on posteriors in neighborhoods.
IEEE Trans. Geosci. Remote. Sens., 2005

Spatio-temporal contextual image classification based on Spatial AdaBoost.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005

GroupAdaBoost for Selecting Important Genes.
Proceedings of the Fifth IEEE International Symposium on Bioinformatic and Bioengineering (BIBE 2005), 2005

2004
Robustifying AdaBoost by Adding the Naive Error Rate.
Neural Comput., 2004

Information Geometry of U-Boost and Bregman Divergence.
Neural Comput., 2004

Robust Principal Component Analysis with Adaptive Selection for Tuning Parameters.
J. Mach. Learn. Res., 2004

Genotyping of single nucleotide polymorphism using model-based clustering.
Bioinform., 2004

Supervised image classification based on adaboost with contextual weak classifiers.
Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004

The Most Robust Loss Function for Boosting.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

2002
Robust Blind Source Separation by Beta Divergence.
Neural Comput., 2002

1998
The Influence Function of Principal Component Analysis by Self-Organizing Rule.
Neural Comput., 1998


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