Shotaro Akaho

According to our database, Shotaro Akaho authored at least 122 papers between 1990 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Full-Span Log-Linear Model and Fast Learning Algorithm.

Kazuya Takabatake, Shotaro Akaho

Neural Comput., 2022

Principal Component Analysis for Gaussian Process Posteriors.

Hideaki Ishibashi, Shotaro Akaho

Neural Comput., 2022

Geometry of EM and related iterative algorithms.

Hideitsu Hino, Shotaro Akaho, Noboru Murata

CoRR, 2022

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

Ryo Karakida, Shotaro Akaho

Proceedings of the Tenth International Conference on Learning Representations, 2022

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

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

Yujie Li, Benying Tan, Shotaro Akaho, Hideki Asoh, Shuxue Ding

J. Vis. Commun. Image Represent., 2021

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

Ryo Karakida, Shotaro Akaho

CoRR, 2021

Reconsidering Dependency Networks from an Information Geometry Perspective.

Kazuya Takabatake, Shotaro Akaho

CoRR, 2021

Preliminary Experiments to Examine the Stability of Bias-Aware Techniques.

Toshihiro Kamishima, Shotaro Akaho, Yukino Baba, Hisashi Kashima

Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2021

2019

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

Yujie Li, Shotaro Akaho, Hideki Asoh, Benying Tan

IEEE Access, 2019

The Normalization Method for Alleviating Pathological Sharpness in Wide Neural Networks.

Ryo Karakida, Shotaro Akaho, Shun-ichi Amari

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

On a Convergence Property of a Geometrical Algorithm for Statistical Manifolds.

Shotaro Akaho, Hideitsu Hino, Noboru Murata

Proceedings of the Neural Information Processing - 26th International Conference, 2019

A Novel Maximum-Likelihood Detection for the Binary MIMO System Using DC Programming.

Benying Tan, Xiang Li, Shuxue Ding, Yujie Li, Shotaro Akaho, Hideki Asoh

Proceedings of the IEEE 10th International Conference on Awareness Science and Technology, 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

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

Retrieved Image Refinement by Bootstrap Outlier Test.

Hayato Watanabe, Hideitsu Hino, Shotaro Akaho, Noboru Murata

Proceedings of the Computer Analysis of Images and Patterns, 2019

Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach.

Ryo Karakida, Shotaro Akaho, Shun-ichi Amari

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

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

Estimation of neural connections from partially observed neural spikes.

Taishi Iwasaki, Hideitsu Hino, Masami Tatsuno, Shotaro Akaho, Noboru Murata

Neural Networks, 2018

Model-based and actual independence for fairness-aware classification.

Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma

Data Min. Knowl. Discov., 2018

Information Geometric Perspective of Modal Linear Regression.

Keishi Sando, Shotaro Akaho, Noboru Murata, Hideitsu Hino

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Geometrical Formulation of the Nonnegative Matrix Factorization.

Shotaro Akaho, Hideitsu Hino, Neneka Nara, Noboru Murata

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Recommendation Independence.

Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma

Proceedings of the Conference on Fairness, Accountability and Transparency, 2018

Localizing Current Dipoles from EEG Data Using a Birth-Death Process.

Keita Nakamura, Sho Sonoda, Hideitsu Hino, Masahiro Kawasaki, Shotaro Akaho, Noboru Murata

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

Local Intrinsic Dimension Estimation by Generalized Linear Modeling.

Hideitsu Hino, Jun Fujiki, Shotaro Akaho, Noboru Murata

Neural Comput., 2017

2016

Nonparametric <i>e</i>-Mixture Estimation.

Ken Takano, Hideitsu Hino, Shotaro Akaho, Noboru Murata

Neural Comput., 2016

Non-parametric e-mixture of Density Functions.

Hideitsu Hino, Ken Takano, Shotaro Akaho, Noboru Murata

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

An Entropy Estimator Based on Polynomial Regression with Poisson Error Structure.

Hideitsu Hino, Shotaro Akaho, Noboru Murata

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Model-Based Approaches for Independence-Enhanced Recommendation.

Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Issei Sato

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015

An efficient sampling algorithm with adaptations for Bayesian variable selection.

Takamitsu Araki, Kazushi Ikeda, Shotaro Akaho

Neural Networks, 2015

Automatic Categorization of Health Indices for Risk Quantification.

Atsunori Kanemura, Gérard Lipowski, Hidehiko Komine, Shotaro Akaho

Proceedings of the 6th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2015)/ The 5th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2015)/ Affiliated Workshops, 2015

2014

Intrinsic Graph Structure Estimation Using Graph Laplacian.

Atsushi Noda, Hideitsu Hino, Masami Tatsuno, Shotaro Akaho, Noboru Murata

Neural Comput., 2014

Correcting Popularity Bias by Enhancing Recommendation Neutrality.

Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma

Proceedings of the Poster Proceedings of the 8th ACM Conference on Recommender Systems, 2014

A Kernel Method to Extract Common Features Based on Mutual Information.

Takamitsu Araki, Hideitsu Hino, Shotaro Akaho

Proceedings of the Neural Information Processing - 21st International Conference, 2014

An Algorithm for Directed Graph Estimation.

Hideitsu Hino, Atsushi Noda, Masami Tatsuno, Shotaro Akaho, Noboru Murata

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

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

Proceedings of the 2014 AAAI Spring Symposia, 2014

2013

Efficiency Improvement of Neutrality-Enhanced Recommendation.

Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma

Proceedings of the 3rd Workshop on Human Decision Making in Recommender Systems in conjunction with the 7th ACM Conference on Recommender Systems (RecSys 2013), 2013

Absolute and relative clustering.

Toshihiro Kamishima, Shotaro Akaho

Proceedings of the 4th MultiClust Workshop on Multiple Clusterings, 2013

The Independence of Fairness-Aware Classifiers.

Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Pairwise Similarity for Line Extraction from Distorted Images.

Hideitsu Hino, Jun Fujiki, Shotaro Akaho, Yoshihiko Mochizuki, Noboru Murata

Proceedings of the Computer Analysis of Images and Patterns, 2013

Flexible Hypersurface Fitting with RBF Kernels.

Jun Fujiki, Shotaro Akaho

Proceedings of the Computer Analysis of Images and Patterns, 2013

2012

Constraint-free Graphical Model with Fast Learning Algorithm

Kazuya Takabatake, Shotaro Akaho

CoRR, 2012

Enhancement of the Neutrality in Recommendation.

Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma

Proceedings of the 2nd Workshop on Human Decision Making in Recommender Systems, 2012

Fairness-Aware Classifier with Prejudice Remover Regularizer.

Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Robust Hypersurface Fitting Based on Random Sampling Approximations.

Jun Fujiki, Shotaro Akaho, Hideitsu Hino, Noboru Murata

Proceedings of the Neural Information Processing - 19th International Conference, 2012

Considerations on Fairness-Aware Data Mining.

Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2011

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

Toshihiro Kamishima, Shotaro Akaho

Proceedings of the 2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems, 2011

Fairness-aware Learning through Regularization Approach.

Toshihiro Kamishima, Shotaro Akaho, Jun Sakuma

Proceedings of the Data Mining Workshops (ICDMW), 2011

Calibration of radially symmetric distortion based on linearity in the calibrated image.

Jun Fujiki, Hideitsu Hino, Shotaro Akaho, Noboru Murata

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Global convergence of independent component analysis based on semidefinite programming relaxation.

Shotaro Akaho, Jun Fujiki

Proceedings of the IEEE International Conference on Acoustics, 2011

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

Hiromichi Suetani, Shotaro Akaho

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 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

Proceedings of the Computer Vision and Image Analysis of Art II, San Francisco Airport, 2011

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

Jun Fujiki, Shotaro Akaho, Hideitsu Hino, Noboru Murata

Proceedings of the Computer Analysis of Images and Patterns, 2011

Hypersurface Fitting via Jacobian Nonlinear PCA on Riemannian Space.

Jun Fujiki, Shotaro Akaho

Proceedings of the Computer Analysis of Images and Patterns, 2011

2010

Behaviorally Founded Recommendation Algorithm for Browsing Assistance Systems.

Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida

Proceedings of the Data Mining - Special Issue in Annals of Information Systems, 2010

Human-Web Interactions.

Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida

Proceedings of the Emergent Web Intelligence: Advanced Information Retrieval, 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

Gaussian Process Regression with Measurement Error.

Yukito Iba, Shotaro Akaho

IEICE Trans. Inf. Syst., 2010

Nantonac collaborative filtering: a model-based approach.

Toshihiro Kamishima, Shotaro Akaho

Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

Self-Calibration of Radially Symmetric Distortion by Model Selection.

Jun Fujiki, Hideitsu Hino, Yumi Usami, Shotaro Akaho, Noboru Murata

Proceedings of the 20th International Conference on Pattern Recognition, 2010

A Survey and Empirical Comparison of Object Ranking Methods.

Toshihiro Kamishima, Hideto Kazawa, Shotaro Akaho

Proceedings of the Preference Learning., 2010

Dimension Reduction for Object Ranking.

Toshihiro Kamishima, Shotaro Akaho

Proceedings of the Preference Learning., 2010

2009

Efficient Clustering for Orders.

Toshihiro Kamishima, Shotaro Akaho

Proceedings of the Mining Complex Data, 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

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

Toshihiro Kamishima, Masahiro Hamasaki, Shotaro Akaho

Proceedings of the ICDM 2009, 2009

Curve fitting by Spherical Least Squares on two-dimensional sphere.

Jun Fujiki, Shotaro Akaho

Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

Calibration of Radially Symmetric Distortion by Fitting Principal Component.

Hideitsu Hino, Yumi Usami, Jun Fujiki, Shotaro Akaho, Noboru Murata

Proceedings of the Computer Analysis of Images and Patterns, 13th International Conference, 2009

2008

Human-Centric Design of Percipient Knowledge Distribution Service.

Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida

Proceedings of the Emerging Technologies and Information Systems for the Knowledge Society, 2008

Service Oriented Architecture of Intranet User-Analytics.

Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida

Proceedings of the 2008 International Conference on Semantic Web & Web Services, 2008

Clustering on a Subspace of Exponential Family Using Variational Bayes Method.

Kazuho Watanabe, Shotaro Akaho, Masato Okada

Proceedings of the 2008 International Conference on Information Theory and Statistical Learning, 2008

Information Geometry of Contrastive Divergence.

Shotaro Akaho, Kazuya Takabatake

Proceedings of the 2008 International Conference on Information Theory and Statistical Learning, 2008

Browsing Assistance Service for Intranet Information Systems.

Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida

Proceedings of the Advances in Data Mining. Medical Applications, 2008

Complex User Behavioral Networks at Enterprise Information Systems.

Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida

Proceedings of the ICEIS 2008, 2008

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

Yasunori Nishimori, Shotaro Akaho, Mark D. Plumbley

Proceedings of the Artificial Neural Networks, 2008

Dimension Reduction for Mixtures of Exponential Families.

Shotaro Akaho

Proceedings of the Artificial Neural Networks, 2008

Web Behaviormetric User Profiling Concept.

Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida

Proceedings of the E-Commerce and Web Technologies, 9th International Conference, 2008

Analytics and Management of Collaborative Intranets.

Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida

Proceedings of the Collaborative Computing: Networking, 2008

Enterprise Web Services and Elements of Human Interactions.

Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida

Proceedings of the Business Information Systems, 11th International Conference, 2008

2007

Knowledge worker intranet behaviour and usability.

Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida

Int. J. Bus. Intell. Data Min., 2007

Long Tail Attributes of Knowledge Worker Intranet Interactions.

Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

Epipolar Geometry Via Rectification of Spherical Images.

Jun Fujiki, Akihiko Torii, Shotaro Akaho

Proceedings of the Computer Vision/Computer Graphics Collaboration Techniques, 2007

Knowledge Extraction, Analysis, and Management of Intranet Serviceability.

Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida

Proceedings of the 2007 International Conference on Information & Knowledge Engineering, 2007

Flag Manifolds for Subspace ICA Problems.

Yasunori Nishimori, Shotaro Akaho, Samer A. Abdallah, Mark D. Plumbley

Proceedings of the IEEE International Conference on Acoustics, 2007

Usability Analysis Framework Based on Behavioral Segmentation.

Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida

Proceedings of the E-Commerce and Web Technologies, 8th International Conference, 2007

Navigation Space Based Intranet Usability Analysis.

Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

Active Learning for Network Estimation.

Shotaro Akaho, Kenji Fukumizu

Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2007

Long Tails and Analysis of Knowledge Worker Intranet Browsing Behavior.

Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida

Proceedings of the Business Information Systems, 10th International Conference, 2007

2006

A kernel method for canonical correlation analysis

Shotaro Akaho

CoRR, 2006

Supervised ordering by regression combined with Thurstone's model.

Toshihiro Kamishima, Shotaro Akaho

Artif. Intell. Rev., 2006

Extraction and Analysis of Knowledge Worker Activities on Intranet.

Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida

Proceedings of the Practical Aspects of Knowledge Management, 6th International Conference, 2006

Efficient First Order Superlinear Algorithms.

Peter Géczy, Shotaro Akaho, Shiro Usui

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2006

Navigation Space Formalism and Exploration of Knowledge Worker Behavior on Intranet.

Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida

Proceedings of the iiWAS'2006, 2006

Efficient Clustering for Orders.

Toshihiro Kamishima, Shotaro Akaho

Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Dimension Reduction for Supervised Ordering.

Toshihiro Kamishima, Shotaro Akaho

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Riemannian Optimization Method on the Flag Manifold for Independent Subspace Analysis.

Yasunori Nishimori, Shotaro Akaho, Mark D. Plumbley

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

2005

Learning algorithms utilizing quasi-geodesic flows on the Stiefel manifold.

Yasunori Nishimori, Shotaro Akaho

Neurocomputing, 2005

Supervised Ordering - An Empirical Survey.

Toshihiro Kamishima, Hideto Kazawa, Shotaro Akaho

Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

2004

SVM that maximizes the margin in the input space.

Shotaro Akaho

Syst. Comput. Jpn., 2004

Asymptotic Properties of the Fisher Kernel.

Koji Tsuda, Shotaro Akaho, Motoaki Kawanabe, Klaus-Robert Müller

Neural Comput., 2004

Filling-in Missing Objects in Orders.

Toshihiro Kamishima, Shotaro Akaho

Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Nonlinear PCA/ICA for the Structure from Motion Problem.

Jun Fujiki, Shotaro Akaho, Noboru Murata

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Estimating Attributed Central Orders: An Empirical Comparison.

Toshihiro Kamishima, Hideto Kazawa, Shotaro Akaho

Proceedings of the Machine Learning: ECML 2004, 2004

2003

The em Algorithm for Kernel Matrix Completion with Auxiliary Data.

Koji Tsuda, Shotaro Akaho, Kiyoshi Asai

J. Mach. Learn. Res., 2003

2002

Conditionally independent component analysis for supervised feature extraction.

Shotaro Akaho

Neurocomputing, 2002

Approximating Incomplete Kernel Matrices by the em Algorithm

Koji Tsuda, Shotaro Akaho, Kiyoshi Asai

CoRR, 2002

Maximing the Margin in the Input Space

Shotaro Akaho

CoRR, 2002

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

Kenji Fukumizu, Shotaro Akaho, Shun-ichi Amari

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Learning from Order Examples.

Toshihiro Kamishima, Shotaro Akaho

Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

2001

Conditionally Independent Component Extraction for Naive Bayes Inference.

Shotaro Akaho

Proceedings of the Artificial Neural Networks, 2001

2000

Nonmonotonic Generalization Bias of Gaussian Mixture Models.

Shotaro Akaho, Hilbert J. Kappen

Neural Comput., 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

Proceedings of the IEEE International Conference on Systems, 2000

Large Margin Classifier via Semiparametric Inference.

Koji Tsuda, Shotaro Akaho

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

MICA: multimodal independent component analysis.

Shotaro Akaho, Yasuhiko Kiuchi, Shinji Umeyama

Proceedings of the International Joint Conference Neural Networks, 1999

1998

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

Shotaro Akaho, Yoshiyasu Goto, Takio Kurita, Hiroshi Mizoguchi

Proceedings of the Fifth International Conference on Neural Information Processing, 1998

Statistical Learning in Optimization: Gaussian Modeling for Population Search.

Shotaro Akaho

Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1997

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

Hideki Asoh, Satoru Hayamizu, Isao Hara, Yoichi Motomura, Shotaro Akaho, Toshihiro Matsui

Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

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

Hideki Asoh, Satoru Hayamizu, Isao Hara, Yoichi Motomura, Shotaro Akaho, Toshihiro Matsui

Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

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

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

Hideki Asoh, Yoichi Motomura, Isao Hara, Shotaro Akaho, Satoru Hayamizu, Toshihiro Matsui

Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems. IROS 1996, 1996

1995

The EM algorithm for multiple object recognition.

Shotaro Akaho

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

1992

Regularization Learning of Neural Networks for Generalization.

Shotaro Akaho

Proceedings of the Algorithmic Learning Theory, Third Workshop, 1992

1990

On the capacity of three-layer networks.

Shotaro Akaho, Shun-ichi Amari

Proceedings of the IJCNN 1990, 1990