On the capacity of three-layer networks. - Shotaro Akaho; Shun-ichi Amari (IJCNN, 1990)

Regularization Learning of Neural Networks for Generalization. - Shotaro Akaho (ALT, 1992)

The EM algorithm for multiple object recognition. - Shotaro Akaho (ICNN, 1995)

Combining probabilistic map and dialog for robust life-long office navigation. - Hideki Asoh; Yoichi Motomura; Isao Hara; Shotaro Akaho; Satoru Hayamizu; Toshihiro Matsui (IROS, 1996)

Influence of noises added to hidden units on learning of multilayer perceptrons and structurization of networks. - Takio Kurita; Hideki Asoh; Shinji Umeyama; Shotaro Akaho; Akitaka Hosomi (Syst. Comput. Jpn., 1996)

Information Integration of the Office-Conversant Mobile Robot Jijo-2. - Hideki Asoh; Satoru Hayamizu; Isao Hara; Yoichi Motomura; Shotaro Akaho; Toshihiro Matsui (ICONIP (2), 1997)

Socially Embedded Learning of the Office-Conversant Mobil Robot Jijo-2. - Hideki Asoh; Satoru Hayamizu; Isao Hara; Yoichi Motomura; Shotaro Akaho; Toshihiro Matsui (IJCAI (2), 1997)

Statistical Learning in Optimization: Gaussian Modeling for Population Search. - Shotaro Akaho (ICONIP, 1998)

Pursuit Movement of Pan-Tilt Camera by Feedback-Error-Learning. - Shotaro Akaho; Yoshiyasu Goto; Takio Kurita; Hiroshi Mizoguchi (ICONIP, 1998)

MICA: multimodal independent component analysis. - Shotaro Akaho; Yasuhiko Kiuchi; Shinji Umeyama (IJCNN, 1999)

Large Margin Classifier via Semiparametric Inference. - Koji Tsuda; Shotaro Akaho (IJCNN (2), 2000)

Gaze control on virtual active vision system with binocular fish-eye lenses. - Takio Kurita; Hiroyuki Shimai; Yasutaka Baba; Taketoshi Mishima; Masaru Tanaka; Shotaro Akaho; Shinji Umeyama (SMC, 2000)

Nonmonotonic Generalization Bias of Gaussian Mixture Models. - Shotaro Akaho; Hilbert J. Kappen (Neural Comput., 2000)

Conditionally Independent Component Extraction for Naive Bayes Inference. - Shotaro Akaho (ICANN, 2001)

Learning from Order Examples. - Toshihiro Kamishima; Shotaro Akaho (ICDM, 2002)

Critical Lines in Symmetry of Mixture Models and its Application to Component Splitting. - Kenji Fukumizu; Shotaro Akaho; Shun-ichi Amari (NIPS, 2002)

Maximing the Margin in the Input Space - Shotaro Akaho (CoRR, 2002)

Approximating Incomplete Kernel Matrices by the em Algorithm - Koji Tsuda; Shotaro Akaho; Kiyoshi Asai (CoRR, 2002)

Conditionally independent component analysis for supervised feature extraction. - Shotaro Akaho (Neurocomputing, 2002)

The em Algorithm for Kernel Matrix Completion with Auxiliary Data. - Koji Tsuda; Shotaro Akaho; Kiyoshi Asai (J. Mach. Learn. Res., 2003)

Estimating Attributed Central Orders: An Empirical Comparison. - Toshihiro Kamishima; Hideto Kazawa; Shotaro Akaho (ECML, 2004)

Nonlinear PCA/ICA for the Structure from Motion Problem. - Jun Fujiki; Shotaro Akaho; Noboru Murata (ICA, 2004)

Filling-in Missing Objects in Orders. - Toshihiro Kamishima; Shotaro Akaho (ICDM, 2004)

The e-PCA and m-PCA: dimension reduction of parameters by information geometry. - Shotaro Akaho (IJCNN, 2004)

Asymptotic Properties of the Fisher Kernel. - Koji Tsuda; Shotaro Akaho; Motoaki Kawanabe; Klaus-Robert Müller (Neural Comput., 2004)

SVM that maximizes the margin in the input space. - Shotaro Akaho (Syst. Comput. Jpn., 2004)

Supervised Ordering - An Empirical Survey. - Toshihiro Kamishima; Hideto Kazawa; Shotaro Akaho (ICDM, 2005)

Learning algorithms utilizing quasi-geodesic flows on the Stiefel manifold. - Yasunori Nishimori; Shotaro Akaho (Neurocomputing, 2005)

Riemannian Optimization Method on the Flag Manifold for Independent Subspace Analysis. - Yasunori Nishimori; Shotaro Akaho; Mark D. Plumbley (ICA, 2006)

Dimension Reduction for Supervised Ordering. - Toshihiro Kamishima; Shotaro Akaho (ICDM, 2006)

Efficient Clustering for Orders. - Toshihiro Kamishima; Shotaro Akaho (ICDM Workshops, 2006)

Navigation Space Formalism and Exploration of Knowledge Worker Behavior on Intranet. - Peter Géczy; Noriaki Izumi; Shotaro Akaho; Kôiti Hasida (iiWAS, 2006)

Efficient First Order Superlinear Algorithms. - Peter Géczy; Shotaro Akaho; Shiro Usui (AI&M, 2006)

Extraction and Analysis of Knowledge Worker Activities on Intranet. - Peter Géczy; Noriaki Izumi; Shotaro Akaho; Kôiti Hasida (PAKM, 2006)

Supervised ordering by regression combined with Thurstone's model. - Toshihiro Kamishima; Shotaro Akaho (Artif. Intell. Rev., 2006)

A kernel method for canonical correlation analysis - Shotaro Akaho (CoRR, 2006)

Long Tails and Analysis of Knowledge Worker Intranet Browsing Behavior. - Peter Géczy; Noriaki Izumi; Shotaro Akaho; Kôiti Hasida (BIS, 2007)

Active Learning for Network Estimation. - Shotaro Akaho; Kenji Fukumizu (CIBCB, 2007)

Navigation Space Based Intranet Usability Analysis. - Peter Géczy; Noriaki Izumi; Shotaro Akaho; Kôiti Hasida (CIDM, 2007)

Usability Analysis Framework Based on Behavioral Segmentation. - Peter Géczy; Noriaki Izumi; Shotaro Akaho; Kôiti Hasida (EC-Web, 2007)

Flag Manifolds for Subspace ICA Problems. - Yasunori Nishimori; Shotaro Akaho; Samer A. Abdallah; Mark D. Plumbley (ICASSP (4), 2007)

Knowledge Extraction, Analysis, and Management of Intranet Serviceability. - Peter Géczy; Noriaki Izumi; Shotaro Akaho; Kôiti Hasida (IKE, 2007)

Epipolar Geometry Via Rectification of Spherical Images. - Jun Fujiki; Akihiko Torii; Shotaro Akaho (MIRAGE, 2007)

Long Tail Attributes of Knowledge Worker Intranet Interactions. - Peter Géczy; Noriaki Izumi; Shotaro Akaho; Kôiti Hasida (MLDM, 2007)

Knowledge worker intranet behaviour and usability. - Peter Géczy; Noriaki Izumi; Shotaro Akaho; Kôiti Hasida (Int. J. Bus. Intell. Data Min., 2007)

Enterprise Web Services and Elements of Human Interactions. - Peter Géczy; Noriaki Izumi; Shotaro Akaho; Kôiti Hasida (BIS, 2008)

Analytics and Management of Collaborative Intranets. - Peter Géczy; Noriaki Izumi; Shotaro Akaho; Kôiti Hasida (CollaborateCom, 2008)

Web Behaviormetric User Profiling Concept. - Peter Géczy; Noriaki Izumi; Shotaro Akaho; Kôiti Hasida (EC-Web, 2008)

Dimension Reduction for Mixtures of Exponential Families. - Shotaro Akaho (ICANN (1), 2008)

Natural Conjugate Gradient on Complex Flag Manifolds for Complex Independent Subspace Analysis. - Yasunori Nishimori; Shotaro Akaho; Mark D. Plumbley (ICANN (1), 2008)

Complex User Behavioral Networks at Enterprise Information Systems. - Peter Géczy; Noriaki Izumi; Shotaro Akaho; Kôiti Hasida (ICEIS (5), 2008)

Browsing Assistance Service for Intranet Information Systems. - Peter Géczy; Noriaki Izumi; Shotaro Akaho; Kôiti Hasida (ICDM, 2008)

Information Geometry of Contrastive Divergence. - Shotaro Akaho; Kazuya Takabatake (ITSL, 2008)

Clustering on a Subspace of Exponential Family Using Variational Bayes Method. - Kazuho Watanabe; Shotaro Akaho; Masato Okada (ITSL, 2008)

Service Oriented Architecture of Intranet User-Analytics. - Peter Géczy; Noriaki Izumi; Shotaro Akaho; Kôiti Hasida (SWWS, 2008)

Human-Centric Design of Percipient Knowledge Distribution Service. - Peter Géczy; Noriaki Izumi; Shotaro Akaho; Kôiti Hasida (WSKS (1), 2008)

Calibration of Radially Symmetric Distortion by Fitting Principal Component. - Hideitsu Hino; Yumi Usami; Jun Fujiki; Shotaro Akaho; Noboru Murata (CAIP, 2009)

Curve fitting by Spherical Least Squares on two-dimensional sphere. - Jun Fujiki; Shotaro Akaho (ICCV Workshops, 2009)

TrBagg: A Simple Transfer Learning Method and its Application to Personalization in Collaborative Tagging. - Toshihiro Kamishima; Masahiro Hamasaki; Shotaro Akaho (ICDM, 2009)

Variational Bayesian Mixture Model on a Subspace of Exponential Family Distributions. - Kazuho Watanabe; Shotaro Akaho; Shinichiro Omachi; Masato Okada (IEEE Trans. Neural Networks, 2009)

Efficient Clustering for Orders. - Toshihiro Kamishima; Shotaro Akaho (Mining Complex Data, 2009)

Dimension Reduction for Object Ranking. - Toshihiro Kamishima; Shotaro Akaho (Preference Learning, 2010)

A Survey and Empirical Comparison of Object Ranking Methods. - Toshihiro Kamishima; Hideto Kazawa; Shotaro Akaho (Preference Learning, 2010)

Self-Calibration of Radially Symmetric Distortion by Model Selection. - Jun Fujiki; Hideitsu Hino; Yumi Usami; Shotaro Akaho; Noboru Murata (ICPR, 2010)

Nantonac collaborative filtering: a model-based approach. - Toshihiro Kamishima; Shotaro Akaho (RecSys, 2010)

Gaussian Process Regression with Measurement Error. - Yukito Iba; Shotaro Akaho (IEICE Trans. Inf. Syst., 2010)

Visualization of multi-neuron activity by simultaneous optimization of clustering and dimension reduction. - Narihisa Matsumoto; Shotaro Akaho; Yasuko Sugase-Miyamoto; Masato Okada (Neural Networks, 2010)

Human-Web Interactions. - Peter Géczy; Noriaki Izumi; Shotaro Akaho; Kôiti Hasida (Emergent Web Intelligence, 2010)

Behaviorally Founded Recommendation Algorithm for Browsing Assistance Systems. - Peter Géczy; Noriaki Izumi; Shotaro Akaho; Kôiti Hasida (Data Mining, 2010)

Hypersurface Fitting via Jacobian Nonlinear PCA on Riemannian Space. - Jun Fujiki; Shotaro Akaho (CAIP (1), 2011)

Robust Hyperplane Fitting Based on k-th Power Deviation and α-Quantile. - Jun Fujiki; Shotaro Akaho; Hideitsu Hino; Noboru Murata (CAIP (1), 2011)

Improved methods for dewarping images in convex mirrors in fine art: applications to van Eyck and Parmigianino. - Yumi Usami; David G. Stork; Jun Fujiki; Hideitsu Hino; Shotaro Akaho; Noboru Murata (Computer Vision and Image Analysis of Art, 2011)

A RANSAC-Based ISOMAP for Filiform Manifolds in Nonlinear Dynamical Systems -An Application to Chaos in a Dripping Faucet-. - Hiromichi Suetani; Shotaro Akaho (ICANN (2), 2011)

Global convergence of independent component analysis based on semidefinite programming relaxation. - Shotaro Akaho; Jun Fujiki (ICASSP, 2011)

Calibration of radially symmetric distortion based on linearity in the calibrated image. - Jun Fujiki; Hideitsu Hino; Shotaro Akaho; Noboru Murata (ICCV Workshops, 2011)

Fairness-aware Learning through Regularization Approach. - Toshihiro Kamishima; Shotaro Akaho; Jun Sakuma (ICDM Workshops, 2011)

Personalized pricing recommender system: multi-stage epsilon-greedy approach. - Toshihiro Kamishima; Shotaro Akaho (HetRec@RecSys, 2011)

Considerations on Fairness-Aware Data Mining. - Toshihiro Kamishima; Shotaro Akaho; Hideki Asoh; Jun Sakuma (ICDM Workshops, 2012)

Robust Hypersurface Fitting Based on Random Sampling Approximations. - Jun Fujiki; Shotaro Akaho; Hideitsu Hino; Noboru Murata (ICONIP (3), 2012)

Fairness-Aware Classifier with Prejudice Remover Regularizer. - Toshihiro Kamishima; Shotaro Akaho; Hideki Asoh; Jun Sakuma (ECML/PKDD (2), 2012)

Enhancement of the Neutrality in Recommendation. - Toshihiro Kamishima; Shotaro Akaho; Hideki Asoh; Jun Sakuma (Decisions@RecSys, 2012)

Constraint-free Graphical Model with Fast Learning Algorithm - Kazuya Takabatake; Shotaro Akaho (CoRR, 2012)

Flexible Hypersurface Fitting with RBF Kernels. - Jun Fujiki; Shotaro Akaho (CAIP (1), 2013)

Pairwise Similarity for Line Extraction from Distorted Images. - Hideitsu Hino; Jun Fujiki; Shotaro Akaho; Yoshihiko Mochizuki; Noboru Murata (CAIP (2), 2013)

The Independence of Fairness-Aware Classifiers. - Toshihiro Kamishima; Shotaro Akaho; Hideki Asoh; Jun Sakuma (ICDM Workshops, 2013)

Absolute and relative clustering. - Toshihiro Kamishima; Shotaro Akaho (MultiClust@KDD, 2013)

Efficiency Improvement of Neutrality-Enhanced Recommendation. - Toshihiro Kamishima; Shotaro Akaho; Hideki Asoh; Jun Sakuma (Decisions@RecSys, 2013)

Arresting Treatment Patterns for Individual Patients in Clinical Big Data: An Exploratory Procedure. - Mizuki Morita; Masanori Shiro; Shotaro Akaho; Hideki Asoh; Toshihiro Kamishima; Eiji Aramaki; Kôiti Hasida; Takahide Kohro (AAAI Spring Symposia, 2014)

An Algorithm for Directed Graph Estimation. - Hideitsu Hino; Atsushi Noda; Masami Tatsuno; Shotaro Akaho; Noboru Murata (ICANN, 2014)

A Kernel Method to Extract Common Features Based on Mutual Information. - Takamitsu Araki; Hideitsu Hino; Shotaro Akaho (ICONIP (2), 2014)

Correcting Popularity Bias by Enhancing Recommendation Neutrality. - Toshihiro Kamishima; Shotaro Akaho; Hideki Asoh; Jun Sakuma (RecSys Posters, 2014)

Intrinsic Graph Structure Estimation Using Graph Laplacian. - Atsushi Noda; Hideitsu Hino; Masami Tatsuno; Shotaro Akaho; Noboru Murata (Neural Comput., 2014)

Automatic Categorization of Health Indices for Risk Quantification. - Atsunori Kanemura; Gérard Lipowski; Hidehiko Komine; Shotaro Akaho (EUSPN/ICTH, 2015)

An efficient sampling algorithm with adaptations for Bayesian variable selection. - Takamitsu Araki; Kazushi Ikeda; Shotaro Akaho (Neural Networks, 2015)

Model-Based Approaches for Independence-Enhanced Recommendation. - Toshihiro Kamishima; Shotaro Akaho; Hideki Asoh; Issei Sato (ICDM Workshops, 2016)

An Entropy Estimator Based on Polynomial Regression with Poisson Error Structure. - Hideitsu Hino; Shotaro Akaho; Noboru Murata (ICONIP (2), 2016)

Non-parametric e-mixture of Density Functions. - Hideitsu Hino; Ken Takano; Shotaro Akaho; Noboru Murata (ICONIP (2), 2016)

Nonparametric e-Mixture Estimation. - Ken Takano; Hideitsu Hino; Shotaro Akaho; Noboru Murata (Neural Comput., 2016)

Local Intrinsic Dimension Estimation by Generalized Linear Modeling. - Hideitsu Hino; Jun Fujiki; Shotaro Akaho; Noboru Murata (Neural Comput., 2017)

Localizing Current Dipoles from EEG Data Using a Birth-Death Process. - Keita Nakamura; Sho Sonoda; Hideitsu Hino; Masahiro Kawasaki; Shotaro Akaho; Noboru Murata (BIBM, 2018)

Recommendation Independence. - Toshihiro Kamishima; Shotaro Akaho; Hideki Asoh; Jun Sakuma (FAT, 2018)

Geometrical Formulation of the Nonnegative Matrix Factorization. - Shotaro Akaho; Hideitsu Hino; Neneka Nara; Noboru Murata (ICONIP (3), 2018)

Information Geometric Perspective of Modal Linear Regression. - Keishi Sando; Shotaro Akaho; Noboru Murata; Hideitsu Hino (ICONIP (3), 2018)

Model-based and actual independence for fairness-aware classification. - Toshihiro Kamishima; Shotaro Akaho; Hideki Asoh; Jun Sakuma (Data Min. Knowl. Discov., 2018)

Estimation of neural connections from partially observed neural spikes. - Taishi Iwasaki; Hideitsu Hino; Masami Tatsuno; Shotaro Akaho; Noboru Murata (Neural Networks, 2018)

EEG dipole source localization with information criteria for multiple particle filters. - Sho Sonoda; Keita Nakamura; Yuki Kaneda; Hideitsu Hino; Shotaro Akaho; Noboru Murata; Eri Miyauchi; Masahiro Kawasaki (Neural Networks, 2018)

Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach. - Ryo Karakida; Shotaro Akaho; Shun-ichi Amari (AISTATS, 2019)

Retrieved Image Refinement by Bootstrap Outlier Test. - Hayato Watanabe; Hideitsu Hino; Shotaro Akaho; Noboru Murata (CAIP (1), 2019)

Sleep State Analysis Using Calcium Imaging Data by Non-negative Matrix Factorization. - Mizuo Nagayama; Toshimitsu Aritake; Hideitsu Hino; Takeshi Kanda; Takehiro Miyazaki; Masashi Yanagisawa; Shotaro Akaho; Noboru Murata (ICANN (1), 2019)

A Novel Maximum-Likelihood Detection for the Binary MIMO System Using DC Programming. - Benying Tan; Xiang Li 005; Shuxue Ding; Yujie Li 002; Shotaro Akaho; Hideki Asoh (iCAST, 2019)

On a Convergence Property of a Geometrical Algorithm for Statistical Manifolds. - Shotaro Akaho; Hideitsu Hino; Noboru Murata (ICONIP (5), 2019)

The Normalization Method for Alleviating Pathological Sharpness in Wide Neural Networks. - Ryo Karakida; Shotaro Akaho; Shun-ichi Amari (NeurIPS, 2019)

Supervised Saliency Mapping for First-Person Videos With an Inverse Sparse Coding Framework. - Yujie Li 002; Shotaro Akaho; Hideki Asoh; Benying Tan (IEEE Access, 2019)

Preliminary Experiments to Examine the Stability of Bias-Aware Techniques. - Toshihiro Kamishima; Shotaro Akaho; Yukino Baba; Hisashi Kashima (BIAS, 2021)

Reconsidering Dependency Networks from an Information Geometry Perspective. - Kazuya Takabatake; Shotaro Akaho (CoRR, 2021)

Learning Curves for Sequential Training of Neural Networks: Self-Knowledge Transfer and Forgetting. - Ryo Karakida; Shotaro Akaho (CoRR, 2021)

Gaze prediction for first-person videos based on inverse non-negative sparse coding with determinant sparse measure. - Yujie Li 002; Benying Tan; Shotaro Akaho; Hideki Asoh; Shuxue Ding (J. Vis. Commun. Image Represent., 2021)

Pathological Spectra of the Fisher Information Metric and Its Variants in Deep Neural Networks. - Ryo Karakida; Shotaro Akaho; Shun-ichi Amari (Neural Comput., 2021)

Learning curves for continual learning in neural networks: Self-knowledge transfer and forgetting. - Ryo Karakida; Shotaro Akaho (ICLR, 2022)

Geometry of EM and related iterative algorithms. - Hideitsu Hino; Shotaro Akaho; Noboru Murata (CoRR, 2022)

Principal Component Analysis for Gaussian Process Posteriors. - Hideaki Ishibashi; Shotaro Akaho (Neural Comput., 2022)

Full-Span Log-Linear Model and Fast Learning Algorithm. - Kazuya Takabatake; Shotaro Akaho (Neural Comput., 2022)

Detecting cell assemblies by NMF-based clustering from calcium imaging data. - Mizuo Nagayama; Toshimitsu Aritake; Hideitsu Hino; Takeshi Kanda; Takehiro Miyazaki; Masashi Yanagisawa; Shotaro Akaho; Noboru Murata (Neural Networks, 2022)

Local Distance Correlation Embedding for Time-Series Analysis on Riemannian Manifolds. - Lincon S. Souza; Takumi Kobayashi 001; Yasunori Nishimori; Yasuko Sugase-Miyamoto; Kenji Kawano; Shotaro Akaho; Narihisa Matsumoto (ICASSP, 2024)

Transfer Learning Utilizing Real Industrial Vehicle Data Based on Similar Usage Trends. - Keigo Matsuura; Naoya Yokomachi; Shotaro Akaho (ISCMI, 2024)