S. Akaho

发表

Flag Manifolds for Subspace ICA Problems

Mark D. Plumbley, Shotaro Akaho, Samer A. Abdallah, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Universal statistics of Fisher information in deep neural networks: mean field approach

Shun-ichi Amari, Shotaro Akaho, Ryo Karakida, 2018, AISTATS.

MICA: multimodal independent component analysis

Shotaro Akaho, Shinji Umeyama, Yasuhiko Kiuchi, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

The e-PCA and m-PCA: dimension reduction of parameters by information geometry

S. Akaho, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

Critical Lines in Symmetry of Mixture Models and its Application to Component Splitting

Kenji Fukumizu, Shun-ichi Amari, Shotaro Akaho, 2002, NIPS.

Fairness-aware Learning through Regularization Approach

Jun Sakuma, Shotaro Akaho, Toshihiro Kamishima, 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

Time-Varying Transition Probability Matrix Estimation and Its Application to Brand Share Analysis

N. Murata, S. Akaho, Tomoaki Chiba, 2017, PloS one.

Efficient Clustering for Orders

Shotaro Akaho, Toshihiro Kamishima, S. Akaho, 2006, ICDM Workshops.

Estimation of a rotationally symmetric mirror shape from a frontal image of the mirror

N. Murata, S. Akaho, J. Fujiki, 2010, 2010 25th International Conference of Image and Vision Computing New Zealand.

Information geometry of modal linear regression

N. Murata, S. Akaho, H. Hino, 2018, Information Geometry.

Multimodal independent component analysis—A method of feature extraction from multiple information sources

S. Akaho, S. Umeyama, 2001 .

Optimal decay rate of connection weights in covariance learning

Shotaro Akaho, S. Akaho, 1992 .

Regularization Learning of Neural Networks for Generalization

Shotaro Akaho, S. Akaho, 1992, ALT.

Asymptotic Properties of the Fisher Kernel

Motoaki Kawanabe, Klaus-Robert Müller, Shotaro Akaho, 2004, Neural Computation.

Geodesic Learning Algorithms Over Flag Manifolds

Mark D. Plumbley, Y. Nishimori, S. Akaho, 2007 .

Wikis, Blogs, Bookmarking Tools Mining the Web 2.0

Ed H. Chi, S. Akaho, N. Glance, 2008 .

Simultaneous estimation of melting degree and source composition of MORB: an application of data-driven analysis to Geochemistry

Shotaro Akaho, Kenji Nagata, Tatsu Kuwatani, 2016 .

Knowledge Extraction, Analysis, and Management of Intranet Serviceability

Noriaki Izumi, Kôiti Hasida, Peter Géczy, 2007, IKE.

Preliminary Experiments to Examine the Stability of Bias-Aware Techniques

Hisashi Kashima, Yukino Baba, Shotaro Akaho, 2021, BIAS.

Usability Management of Information Systems in Knowledge-Intensive Organizations

Noriaki Izumi, Kôiti Hasida, Peter Géczy, 2009 .

Recommendation Independence

Jun Sakuma, Shotaro Akaho, Hideki Asoh, 2018, FAT.

Dynamic Factor Modelling with Spatially Multi-scale Structures for Spatio-temporal Data

Shotaro Akaho, Takamitsu Araki, S. Akaho, 2018 .

Spatially continuous dynamic factor modeling with basis expansion usingL2penalized likelihood

Shotaro Akaho, Takamitsu Araki, S. Akaho, 2018, Journal of Physics: Conference Series.

A Statistical Approach for Learning from Order Examples by Linear Models

Shotaro Akaho, Toshihiro Kamishima, S. Akaho, 2002 .

IJCAI-07 Reviewers

Wolfram Burgard, Olivier Buffet, Christian Balkenius, 2007, IJCAI.

Learning from Order Examples

Shotaro Akaho, Toshihiro Kamishima, S. Akaho, 2002 .

Neural Network with Embedding Layer for Assistance of Selecting Boxes in Packing Task

Shotaro Akaho, Hideki Asoh, Daisuke Okabe, 2020 .

Automatic Categorization of Health Indices for Risk Quantification

Shotaro Akaho, Atsunori Kanemura, Hidehiko Komine, 2015, EUSPN/ICTH.

EM Algorithm : Application to Clustering and Recent Development

Shotaro Akaho, S. Akaho, 2000 .

Service Oriented Architecture of Intranet User-Analytics

Noriaki Izumi, Kôiti Hasida, Peter Géczy, 2008, SWWS.

Gaze prediction for first-person videos based on inverse non-negative sparse coding with determinant sparse measure

Shotaro Akaho, Shuxue Ding, Benying Tan, 2021, J. Vis. Commun. Image Represent..

Sparse isocon analysis: A data-driven approach for material transfer estimation

S. Akaho, T. Kuwatani, Kenta Yoshida, 2020 .

Human Behavior on Web : What is Known

S. Akaho, P. Géczy, Noriaki Izumi, 2022 .

Geometry of EM and related iterative algorithms

N. Murata, S. Akaho, H. Hino, 2022, 2209.01301.

Thermodynamic modeling of hydrous-melt–olivine equilibrium using exhaustive variable selection

S. Akaho, T. Kuwatani, H. Iwamori, 2020, Physics of the Earth and Planetary Interiors.

Subduction-zone parameters that control slab behavior at the 660-km discontinuity revealed by logistic regression analysis and model selection

S. Akaho, H. Hino, T. Kuwatani, 2022, Frontiers in Earth Science.

Geometry of EM and related iterative algorithms

N. Murata, S. Akaho, H. Hino, 2022, Information Geometry.

High-throughput XPS spectrum modeling with autonomous background subtraction for 3d5/2 peak mapping of SnS

S. Akaho, T. Matsumura, Y. Ando, 2023, Science and Technology of Advanced Materials: Methods.

The Independence of Fairness-Aware Classifiers

Jun Sakuma, Shotaro Akaho, Hideki Asoh, 2013, 2013 IEEE 13th International Conference on Data Mining Workshops.

Fairness-Aware Classifier with Prejudice Remover Regularizer

Jun Sakuma, Shotaro Akaho, Hideki Asoh, 2012, ECML/PKDD.

Active Learning for Network Estimation

Kenji Fukumizu, Shotaro Akaho, K. Fukumizu, 2007, 2007 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology.

Jun Sakuma, Shotaro Akaho, Hideki Asoh, 2014, RecSys Posters.

Curve fitting that minimizes the mean square of perpendicular distances from sample points

Shotaro Akaho, S. Akaho, 1993, Other Conferences.

Behaviorally Founded Recommendation Algorithm for Browsing Assistance Systems

Noriaki Izumi, Kôiti Hasida, Peter Géczy, 2010, Data Mining.

Spatially multi-scale dynamic factor modeling via sparse estimation

Shotaro Akaho, Takamitsu Araki, S. Akaho, 2019 .

A Survey and Empirical Comparison of Object Ranking Methods

Shotaro Akaho, Toshihiro Kamishima, Hideto Kazawa, 2010, Preference Learning.

BaggTaming — Learning from Wild and Tame Data

Shotaro Akaho, Masahiro Hamasaki, Toshihiro Kamishima, 2008 .

A Kernel Method to Extract Common Features Based on Mutual Information

Hideitsu Hino, Shotaro Akaho, Takamitsu Araki, 2014, ICONIP.

Assessment of Greenhouse Tomato Anthesis Rate Through Metabolomics Using LASSO Regularized Linear Regression Model

S. Akaho, M. Hirai, Masanori Arita, 2022, Frontiers in Molecular Biosciences.

Supervised Saliency Mapping for First-Person Videos With an Inverse Sparse Coding Framework

Shotaro Akaho, Benying Tan, Hideki Asoh, 2019, IEEE Access.

Global convergence of independent component analysis based on semidefinite programming relaxation

Jun Fujiki, Shotaro Akaho, S. Akaho, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Epipolar Geometry Via Rectification of Spherical Images

Jun Fujiki, Shotaro Akaho, Akihiko Torii, 2007, MIRAGE.

Geometrical Formulation of the Nonnegative Matrix Factorization

Hideitsu Hino, Noboru Murata, Shotaro Akaho, 2018, ICONIP.

Localizing Current Dipoles from EEG Data Using a Birth–Death Process

Hideitsu Hino, Noboru Murata, Shotaro Akaho, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

EEG dipole source localization with information criteria for multiple particle filters

Hideitsu Hino, Noboru Murata, Shotaro Akaho, 2018, Neural Networks.

Learning algorithms utilizing quasi-geodesic flows on the Stiefel manifold

Shotaro Akaho, Yasunori Nishimori, Y. Nishimori, 2005, Neurocomputing.

Curve fitting by Spherical Least Squares on two-dimensional sphere

Jun Fujiki, Shotaro Akaho, S. Akaho, 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.

The em Algorithm for Kernel Matrix Completion with Auxiliary Data

Kiyoshi Asai, Shotaro Akaho, Koji Tsuda, 2003, J. Mach. Learn. Res..

An Entropy Estimator Based on Polynomial Regression with Poisson Error Structure

Hideitsu Hino, Noboru Murata, Shotaro Akaho, 2016, ICONIP.

Progressive evolution of whole‐rock composition during metamorphism revealed by multivariate statistical analyses

Shotaro Akaho, Tatsu Kuwatani, Kenta Yoshida, 2018 .

Reflectance spectra of Asteroids and Meteorites: their classifications and statistical comparisons

K. Fukumizu, S. Akaho, M. Okada, 2018, Journal of Physics: Conference Series.

Mixture model for image understanding and the EM algorithm

Shotaro Akaho, S. Akaho, 1995 .

Detecting cell assemblies by NMF-based clustering from calcium imaging data

S. Akaho, H. Hino, Takehiro Miyazaki, 2022, Neural Networks.

Flexible Hypersurface Fitting with RBF Kernels

Jun Fujiki, Shotaro Akaho, S. Akaho, 2013, CAIP.

Robust Hyperplane Fitting Based on k-th Power Deviation and α-Quantile

Jun Fujiki, Hideitsu Hino, Noboru Murata, 2011, CAIP.

Information Geometric Perspective of Modal Linear Regression

Hideitsu Hino, Noboru Murata, Shotaro Akaho, 2018, ICONIP.

Estimation of neural connections from partially observed neural spikes

Hideitsu Hino, Noboru Murata, Shotaro Akaho, 2017, Neural Networks.

Constraint-free Graphical Model with Fast Learning Algorithm pdf

Shotaro Akaho, Kazuya Takabatake, S. Akaho, 2012, ArXiv.

Dimension Reduction for Mixtures of Exponential Families

Shotaro Akaho, S. Akaho, 2008, ICANN.

Information Geometry of Contrastive Divergence

Shotaro Akaho, Kazuya Takabatake, S. Akaho, 2008, ITSL.

Approximating Incomplete Kernel Matrices by the em Algorithm

Kiyoshi Asai, Shotaro Akaho, Koji Tsuda, 2002, ArXiv.

The EM algorithm for multiple object recognition

S. Akaho, S. Akaho, 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

Sleep State Analysis Using Calcium Imaging Data by Non-negative Matrix Factorization

Hideitsu Hino, Shotaro Akaho, Takehiro Miyazaki, 2019, ICANN.

Self-Calibration of Radially Symmetric Distortion by Model Selection

Jun Fujiki, Hideitsu Hino, Noboru Murata, 2010, 2010 20th International Conference on Pattern Recognition.

Personalized pricing recommender system: multi-stage epsilon-greedy approach

Shotaro Akaho, Toshihiro Kamishima, S. Akaho, 2011, HetRec '11.

Learning curves for continual learning in neural networks: Self-knowledge transfer and forgetting

S. Akaho, Ryo Karakida, 2021, ICLR.

Learning Curves for Sequential Training of Neural Networks: Self-Knowledge Transfer and Forgetting pdf

Shotaro Akaho, Ryo Karakida, S. Akaho, 2021, ArXiv.

A kernel method for canonical correlation analysis pdf

Shotaro Akaho, S. Akaho, 2006, ArXiv.

Gaussian Process Regression with Measurement Error

Shotaro Akaho, Yukito Iba, S. Akaho, 2010, IEICE Trans. Inf. Syst..

The Normalization Method for Alleviating Pathological Sharpness in Wide Neural Networks

Shun-ichi Amari, Shotaro Akaho, Ryo Karakida, 2019, NeurIPS.

Human-Web Interactions

Noriaki Izumi, Kôiti Hasida, Peter Géczy, 2010, Emergent Web Intelligence.

Knowledge worker intranet behaviour and usability

Noriaki Izumi, Kôiti Hasida, Peter Géczy, 2007, Int. J. Bus. Intell. Data Min..

Socially Embedded Learning of the Office-Conversant Mobil Robot Jijo-2

Satoru Hayamizu, Shotaro Akaho, Hideki Asoh, 1997, IJCAI.

Information Integration of the Office-Conversant Mobile Robot Jijo-2

Satoru Hayamizu, Shotaro Akaho, Hideki Asoh, 1997, ICONIP.

Combining probabilistic map and dialog for robust life-long office navigation

Satoru Hayamizu, Shotaro Akaho, Hideki Asoh, 1996, Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems. IROS '96.

Learning from order examples

Shotaro Akaho, Toshihiro Kamishima, S. Akaho, 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..

Nonmonotonic Generalization Bias of Gaussian Mixture Models

Hilbert J. Kappen, Shotaro Akaho, H. Kappen, 2000, Neural Computation.

Navigation Space Based Intranet Usability Analysis

Noriaki Izumi, Kôiti Hasida, Peter Géczy, 2007, 2007 IEEE Symposium on Computational Intelligence and Data Mining.

Regression analysis and variable selection to determine the key subduction-zone parameters that determine the maximum earthquake magnitude

S. Akaho, H. Hino, T. Kuwatani, 2023, Earth, Planets and Space.

TrBagg: A Simple Transfer Learning Method and its Application to Personalization in Collaborative Tagging

Shotaro Akaho, Masahiro Hamasaki, Toshihiro Kamishima, 2009, 2009 Ninth IEEE International Conference on Data Mining.

Learning from Cluster Examples-Employing Attributes of Clusters.

Shotaro Akaho, Toshihiro Kamishima, Fumio Motoyoshi, 2003 .

Efficient First Order Superlinear Algorithms

Peter Géczy, Shotaro Akaho, Shiro Usui, 2006, AI&M.

Pursuit Movement of Pan-Tilt Camera by Feedback-Error-Learning

Hiroshi Mizoguchi, Takio Kurita, Shotaro Akaho, 1998, ICONIP.

Model-Based Approaches for Independence-Enhanced Recommendation

Shotaro Akaho, Hideki Asoh, Toshihiro Kamishima, 2016, 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW).

Considerations on Recommendation Independence for a Find-Good-Items Task

Shotaro Akaho, Toshihiro Kamishima, S. Akaho, 2017 .

Efficiency Improvement of Neutrality-Enhanced Recommendation

Jun Sakuma, Shotaro Akaho, Hideki Asoh, 2013, Decisions@RecSys.

Browsing Assistance Service for Intranet Information Systems

Noriaki Izumi, Kôiti Hasida, Peter Géczy, 2008, ICDM.

Enterprise Web Services and Elements of Human Interactions

Noriaki Izumi, Kôiti Hasida, Peter Géczy, 2008, BIS.

Robust Hypersurface Fitting Based on Random Sampling Approximations

Jun Fujiki, Hideitsu Hino, Noboru Murata, 2012, ICONIP.

Nonparametric e-Mixture Estimation

Hideitsu Hino, Noboru Murata, Ken Takano, 2016, Neural Computation.

Non-parametric e-mixture of Density Functions

Hideitsu Hino, Noboru Murata, Ken Takano, 2016, ICONIP.

Principal Component Analysis for Gaussian Process Posteriors

S. Akaho, Hideaki Ishibashi, 2021, Neural Computation.

Inference and Learning with Graphical Models

K. Fukumizu, S. Akaho, H. Asoh, 2000 .

Efficient Clustering for Orders

Shotaro Akaho, Toshihiro Kamishima, S. Akaho, 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).

Supervised ordering by regression combined with Thurstone’s model

Shotaro Akaho, Toshihiro Kamishima, S. Akaho, 2006, Artificial Intelligence Review.

Supervised ordering - an empirical survey

Shotaro Akaho, Toshihiro Kamishima, Hideto Kazawa, 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).

Filling-in missing objects in orders

Shotaro Akaho, Toshihiro Kamishima, S. Akaho, 2004, Fourth IEEE International Conference on Data Mining (ICDM'04).

Pathological Spectra of the Fisher Information Metric and Its Variants in Deep Neural Networks

Shun-ichi Amari, Shotaro Akaho, Ryo Karakida, 2019, Neural Computation.

Dimension Reduction for Supervised Ordering

Shotaro Akaho, Toshihiro Kamishima, S. Akaho, 2006, Sixth International Conference on Data Mining (ICDM'06).

Dimension Reduction for Object Ranking

Shotaro Akaho, Toshihiro Kamishima, S. Akaho, 2010, Preference Learning.

Enhancement of the Neutrality in Recommendation

Jun Sakuma, Shotaro Akaho, Hideki Asoh, 2012, Decisions@RecSys.

Spectrum adapted expectation-maximization algorithm for high-throughput peak shift analysis

Kenji Nagata, Tarojiro Matsumura, Naoka Nagamura, 2019, Science and technology of advanced materials.

Improved methods for dewarping images in convex mirrors in fine art: applications to van Eyck and Parmigianino

Jun Fujiki, Hideitsu Hino, Noboru Murata, 2011, Electronic Imaging.

An Application of Inverse Reinforcement Learning to Medical Records of Diabetes Treatment

Shotaro Akaho, Hideki Asoh, Toshihiro Kamishima, 2013 .

Variational Bayesian Mixture Model on a Subspace of Exponential Family Distributions

Kazuho Watanabe, Masato Okada, Shinichiro Omachi, 2009, IEEE Transactions on Neural Networks.

Simultaneous Clustering and Dimensionality Reduction Using Variational Bayesian Mixture Model

Masato Okada, Shinichiro Omachi, Shotaro Akaho, 2010 .

Retrieved Image Refinement by Bootstrap Outlier Test

Hideitsu Hino, Shotaro Akaho, Noboru Murata, 2019, CAIP.

A RANSAC-Based ISOMAP for Filiform Manifolds in Nonlinear Dynamical Systems -An Application to Chaos in a Dripping Faucet-

Shotaro Akaho, Hiromichi Suetani, S. Akaho, 2011, ICANN.

Graph structure modeling for multi-neuronal spike data

Hideitsu Hino, Noboru Murata, Shotaro Akaho, 2016 .

Toward user-centric management of organizational information systems

Noriaki Izumi, Kôiti Hasida, Peter Géczy, 2008 .

Natural Conjugate Gradient on Complex Flag Manifolds for Complex Independent Subspace Analysis

Mark D. Plumbley, Shotaro Akaho, Yasunori Nishimori, 2008, ICANN.

Local Intrinsic Dimension Estimation by Generalized Linear Modeling

Jun Fujiki, Hideitsu Hino, Noboru Murata, 2017, Neural Computation.

Considerations on Fairness-Aware Data Mining

S. Akaho, H. Asoh, Toshihiro Kamishima, 2012, 2012 IEEE 12th International Conference on Data Mining Workshops.