Shotaro Akaho

131 papers A* 8A 3B 8C 7Misc 3Journal 38Unranked 59
YearRankTypeTitle / Venue / Authors
2024 Misc conf
Local Distance Correlation Embedding for Time-Series Analysis on Riemannian Manifolds.
ICASSP
Lincon S. Souza, Takumi Kobayashi, Yasunori Nishimori, Yasuko Sugase-Miyamoto, Kenji Kawano, Shotaro Akaho, Narihisa Matsumoto
2024 — conf
Transfer Learning Utilizing Real Industrial Vehicle Data Based on Similar Usage Trends.
ISCMI
Keigo Matsuura, Naoya Yokomachi, Shotaro Akaho
2022 J jnl
Detecting cell assemblies by NMF-based clustering from calcium imaging data.
Neural Networks
Mizuo Nagayama, Toshimitsu Aritake, Hideitsu Hino, Takeshi Kanda, Takehiro Miyazaki, Masashi Yanagisawa, Shotaro Akaho, Noboru Murata
2022 J jnl
Full-Span Log-Linear Model and Fast Learning Algorithm.
CoRR
Kazuya Takabatake, Shotaro Akaho
2022 J jnl
Full-Span Log-Linear Model and Fast Learning Algorithm.
Neural Comput.
Kazuya Takabatake, Shotaro Akaho
2022 J jnl
Geometry of EM and related iterative algorithms.
CoRR
Hideitsu Hino, Shotaro Akaho, Noboru Murata
2022 A* conf
Learning curves for continual learning in neural networks: Self-knowledge transfer and forgetting.
ICLR
Ryo Karakida, Shotaro Akaho
2022 J jnl
Principal Component Analysis for Gaussian Process Posteriors.
Neural Comput.
Hideaki Ishibashi, Shotaro Akaho
2021 J jnl
Gaze prediction for first-person videos based on inverse non-negative sparse coding with determinant sparse measure.
J. Vis. Commun. Image Represent.
Yujie Li, Benying Tan, Shotaro Akaho, Hideki Asoh, Shuxue Ding
2021 J jnl
Learning Curves for Sequential Training of Neural Networks: Self-Knowledge Transfer and Forgetting.
CoRR
Ryo Karakida, Shotaro Akaho
2021 J jnl
Pathological Spectra of the Fisher Information Metric and Its Variants in Deep Neural Networks.
Neural Comput.
Ryo Karakida, Shotaro Akaho, Shun-ichi Amari
2021 — conf
Preliminary Experiments to Examine the Stability of Bias-Aware Techniques.
BIAS
Toshihiro Kamishima, Shotaro Akaho, Yukino Baba, Hisashi Kashima
2021 J jnl
Principal component analysis for Gaussian process posteriors.
CoRR
Hideaki Ishibashi, Shotaro Akaho
2021 J jnl
Reconsidering Dependency Networks from an Information Geometry Perspective.
CoRR
Kazuya Takabatake, Shotaro Akaho
2019 — conf
A Novel Maximum-Likelihood Detection for the Binary MIMO System Using DC Programming.
iCAST
Benying Tan, Xiang Li, Shuxue Ding, Yujie Li, Shotaro Akaho, Hideki Asoh
2019 — conf
On a Convergence Property of a Geometrical Algorithm for Statistical Manifolds.
ICONIP (5)
Shotaro Akaho, Hideitsu Hino, Noboru Murata
2019 J jnl
On a convergence property of a geometrical algorithm for statistical manifolds.
CoRR
Shotaro Akaho, Hideitsu Hino, Noboru Murata
2019 J jnl
Pathological spectra of the Fisher information metric and its variants in deep neural networks.
CoRR
Ryo Karakida, Shotaro Akaho, Shun-ichi Amari
2019 — conf
Retrieved Image Refinement by Bootstrap Outlier Test.
CAIP (1)
Hayato Watanabe, Hideitsu Hino, Shotaro Akaho, Noboru Murata
2019 — conf
Sleep State Analysis Using Calcium Imaging Data by Non-negative Matrix Factorization.
ICANN (1)
Mizuo Nagayama, Toshimitsu Aritake, Hideitsu Hino, Takeshi Kanda, Takehiro Miyazaki, Masashi Yanagisawa, Shotaro Akaho, Noboru Murata
2019 J jnl
Supervised Saliency Mapping for First-Person Videos With an Inverse Sparse Coding Framework.
IEEE Access
Yujie Li, Shotaro Akaho, Hideki Asoh, Benying Tan
2019 A* conf
The Normalization Method for Alleviating Pathological Sharpness in Wide Neural Networks.
NeurIPS
Ryo Karakida, Shotaro Akaho, Shun-ichi Amari
2019 J jnl
The Normalization Method for Alleviating Pathological Sharpness in Wide Neural Networks.
CoRR
Ryo Karakida, Shotaro Akaho, Shun-ichi Amari
2019 A conf
Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach.
AISTATS
Ryo Karakida, Shotaro Akaho, Shun-ichi Amari
2018 J jnl
EEG dipole source localization with information criteria for multiple particle filters.
Neural Networks
Sho Sonoda, Keita Nakamura, Yuki Kaneda, Hideitsu Hino, Shotaro Akaho, Noboru Murata, Eri Miyauchi, Masahiro Kawasaki
2018 J jnl
Estimation of neural connections from partially observed neural spikes.
Neural Networks
Taishi Iwasaki, Hideitsu Hino, Masami Tatsuno, Shotaro Akaho, Noboru Murata
2018 — conf
Geometrical Formulation of the Nonnegative Matrix Factorization.
ICONIP (3)
Shotaro Akaho, Hideitsu Hino, Neneka Nara, Noboru Murata
2018 — conf
Information Geometric Perspective of Modal Linear Regression.
ICONIP (3)
Keishi Sando, Shotaro Akaho, Noboru Murata, Hideitsu Hino
2018 — conf
Localizing Current Dipoles from EEG Data Using a Birth-Death Process.
BIBM
Keita Nakamura, Sho Sonoda, Hideitsu Hino, Masahiro Kawasaki, Shotaro Akaho, Noboru Murata
2018 J jnl
Model-based and actual independence for fairness-aware classification.
Data Min. Knowl. Discov.
Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma
2018 — conf
Recommendation Independence.
FAT
Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma
2018 J jnl
Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach.
CoRR
Ryo Karakida, Shotaro Akaho, Shun-ichi Amari
2017 J jnl
Local Intrinsic Dimension Estimation by Generalized Linear Modeling.
Neural Comput.
Hideitsu Hino, Jun Fujiki, Shotaro Akaho, Noboru Murata
2016 — conf
An Entropy Estimator Based on Polynomial Regression with Poisson Error Structure.
ICONIP (2)
Hideitsu Hino, Shotaro Akaho, Noboru Murata
2016 — conf
Model-Based Approaches for Independence-Enhanced Recommendation.
ICDM Workshops
Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Issei Sato
2016 — conf
Non-parametric e-mixture of Density Functions.
ICONIP (2)
Hideitsu Hino, Ken Takano, Shotaro Akaho, Noboru Murata
2016 J jnl
Nonparametric
Neural Comput.
Ken Takano, Hideitsu Hino, Shotaro Akaho, Noboru Murata
2015 J jnl
An efficient sampling algorithm with adaptations for Bayesian variable selection.
Neural Networks
Takamitsu Araki, Kazushi Ikeda, Shotaro Akaho
2015 — conf
Automatic Categorization of Health Indices for Risk Quantification.
EUSPN/ICTH
Atsunori Kanemura, Gérard Lipowski, Hidehiko Komine, Shotaro Akaho
2014 — conf
A Kernel Method to Extract Common Features Based on Mutual Information.
ICONIP (2)
Takamitsu Araki, Hideitsu Hino, Shotaro Akaho
2014 C conf
An Algorithm for Directed Graph Estimation.
ICANN
Hideitsu Hino, Atsushi Noda, Masami Tatsuno, Shotaro Akaho, Noboru Murata
2014 — conf
Arresting Treatment Patterns for Individual Patients in Clinical Big Data: An Exploratory Procedure.
AAAI Spring Symposia
Mizuki Morita, Masanori Shiro, Shotaro Akaho, Hideki Asoh, Toshihiro Kamishima, Eiji Aramaki, Kôiti Hasida, Takahide Kohro
2014 — conf
Correcting Popularity Bias by Enhancing Recommendation Neutrality.
RecSys Posters
Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma
2014 J jnl
Intrinsic Graph Structure Estimation Using Graph Laplacian.
Neural Comput.
Atsushi Noda, Hideitsu Hino, Masami Tatsuno, Shotaro Akaho, Noboru Murata
2013 — conf
Absolute and relative clustering.
MultiClust@KDD
Toshihiro Kamishima, Shotaro Akaho
2013 — conf
Efficiency Improvement of Neutrality-Enhanced Recommendation.
Decisions@RecSys
Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma
2013 — conf
Flexible Hypersurface Fitting with RBF Kernels.
CAIP (1)
Jun Fujiki, Shotaro Akaho
2013 — conf
Pairwise Similarity for Line Extraction from Distorted Images.
CAIP (2)
Hideitsu Hino, Jun Fujiki, Shotaro Akaho, Yoshihiko Mochizuki, Noboru Murata
2013 — conf
The Independence of Fairness-Aware Classifiers.
ICDM Workshops
Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma
2012 — conf
Considerations on Fairness-Aware Data Mining.
ICDM Workshops
Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma
2012 J jnl
Constraint-free Graphical Model with Fast Learning Algorithm
CoRR
Kazuya Takabatake, Shotaro Akaho
2012 — conf
Enhancement of the Neutrality in Recommendation.
Decisions@RecSys
Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma
2012 — conf
Fairness-Aware Classifier with Prejudice Remover Regularizer.
ECML/PKDD (2)
Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma
2012 — conf
Robust Hypersurface Fitting Based on Random Sampling Approximations.
ICONIP (3)
Jun Fujiki, Shotaro Akaho, Hideitsu Hino, Noboru Murata
2011 — conf
A RANSAC-Based ISOMAP for Filiform Manifolds in Nonlinear Dynamical Systems -An Application to Chaos in a Dripping Faucet-.
ICANN (2)
Hiromichi Suetani, Shotaro Akaho
2011 — conf
Calibration of radially symmetric distortion based on linearity in the calibrated image.
ICCV Workshops
Jun Fujiki, Hideitsu Hino, Shotaro Akaho, Noboru Murata
2011 — conf
Fairness-aware Learning through Regularization Approach.
ICDM Workshops
Toshihiro Kamishima, Shotaro Akaho, Jun Sakuma
2011 Misc conf
Global convergence of independent component analysis based on semidefinite programming relaxation.
ICASSP
Shotaro Akaho, Jun Fujiki
2011 — conf
Hypersurface Fitting via Jacobian Nonlinear PCA on Riemannian Space.
CAIP (1)
Jun Fujiki, Shotaro Akaho
2011 — conf
Improved methods for dewarping images in convex mirrors in fine art: applications to van Eyck and Parmigianino.
Computer Vision and Image Analysis of Art
Yumi Usami, David G. Stork, Jun Fujiki, Hideitsu Hino, Shotaro Akaho, Noboru Murata
2011 — conf
Personalized pricing recommender system: multi-stage epsilon-greedy approach.
HetRec@RecSys
Toshihiro Kamishima, Shotaro Akaho
2011 — conf
Robust Hyperplane Fitting Based on k-th Power Deviation and α-Quantile.
CAIP (1)
Jun Fujiki, Shotaro Akaho, Hideitsu Hino, Noboru Murata
2010 — ch.
A Survey and Empirical Comparison of Object Ranking Methods.
Preference Learning
Toshihiro Kamishima, Hideto Kazawa, Shotaro Akaho
2010 — ch.
Behaviorally Founded Recommendation Algorithm for Browsing Assistance Systems.
Data Mining
Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida
2010 — ch.
Dimension Reduction for Object Ranking.
Preference Learning
Toshihiro Kamishima, Shotaro Akaho
2010 J jnl
Gaussian Process Regression with Measurement Error.
IEICE Trans. Inf. Syst.
Yukito Iba, Shotaro Akaho
2010 — ch.
Human-Web Interactions.
Emergent Web Intelligence
Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida
2010 A conf
Nantonac collaborative filtering: a model-based approach.
RecSys
Toshihiro Kamishima, Shotaro Akaho
2010 B conf
Self-Calibration of Radially Symmetric Distortion by Model Selection.
ICPR
Jun Fujiki, Hideitsu Hino, Yumi Usami, Shotaro Akaho, Noboru Murata
2010 J jnl
Visualization of multi-neuron activity by simultaneous optimization of clustering and dimension reduction.
Neural Networks
Narihisa Matsumoto, Shotaro Akaho, Yasuko Sugase-Miyamoto, Masato Okada
2009 C conf
Calibration of Radially Symmetric Distortion by Fitting Principal Component.
CAIP
Hideitsu Hino, Yumi Usami, Jun Fujiki, Shotaro Akaho, Noboru Murata
2009 — conf
Curve fitting by Spherical Least Squares on two-dimensional sphere.
ICCV Workshops
Jun Fujiki, Shotaro Akaho
2009 — ch.
Efficient Clustering for Orders.
Mining Complex Data
Toshihiro Kamishima, Shotaro Akaho
2009 A* conf
TrBagg: A Simple Transfer Learning Method and its Application to Personalization in Collaborative Tagging.
ICDM
Toshihiro Kamishima, Masahiro Hamasaki, Shotaro Akaho
2009 J jnl
Variational Bayesian Mixture Model on a Subspace of Exponential Family Distributions.
IEEE Trans. Neural Networks
Kazuho Watanabe, Shotaro Akaho, Shinichiro Omachi, Masato Okada
2008 C conf
Analytics and Management of Collaborative Intranets.
CollaborateCom
Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida
2008 A* conf
Browsing Assistance Service for Intranet Information Systems.
ICDM
Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida
2008 — conf
Clustering on a Subspace of Exponential Family Using Variational Bayes Method.
ITSL
Kazuho Watanabe, Shotaro Akaho, Masato Okada
2008 — conf
Complex User Behavioral Networks at Enterprise Information Systems.
ICEIS (5)
Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida
2008 — conf
Dimension Reduction for Mixtures of Exponential Families.
ICANN (1)
Shotaro Akaho
2008 — conf
Enterprise Web Services and Elements of Human Interactions.
BIS
Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida
2008 — conf
Human-Centric Design of Percipient Knowledge Distribution Service.
WSKS (1)
Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida
2008 — conf
Information Geometry of Contrastive Divergence.
ITSL
Shotaro Akaho, Kazuya Takabatake
2008 — conf
Natural Conjugate Gradient on Complex Flag Manifolds for Complex Independent Subspace Analysis.
ICANN (1)
Yasunori Nishimori, Shotaro Akaho, Mark D. Plumbley
2008 — conf
Service Oriented Architecture of Intranet User-Analytics.
SWWS
Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida
2008 — conf
Web Behaviormetric User Profiling Concept.
EC-Web
Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida
2007 C conf
Active Learning for Network Estimation.
CIBCB
Shotaro Akaho, Kenji Fukumizu
2007 — conf
Epipolar Geometry Via Rectification of Spherical Images.
MIRAGE
Jun Fujiki, Akihiko Torii, Shotaro Akaho
2007 — conf
Flag Manifolds for Subspace ICA Problems.
ICASSP (4)
Yasunori Nishimori, Shotaro Akaho, Samer A. Abdallah, Mark D. Plumbley
2007 Misc conf
Knowledge Extraction, Analysis, and Management of Intranet Serviceability.
IKE
Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida
2007 J jnl
Knowledge worker intranet behaviour and usability.
Int. J. Bus. Intell. Data Min.
Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida
2007 — conf
Long Tail Attributes of Knowledge Worker Intranet Interactions.
MLDM
Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida
2007 — conf
Long Tails and Analysis of Knowledge Worker Intranet Browsing Behavior.
BIS
Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida
2007 C conf
Navigation Space Based Intranet Usability Analysis.
CIDM
Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida
2007 — conf
Usability Analysis Framework Based on Behavioral Segmentation.
EC-Web
Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida
2006 J jnl
A kernel method for canonical correlation analysis
CoRR
Shotaro Akaho
2006 A* conf
Dimension Reduction for Supervised Ordering.
ICDM
Toshihiro Kamishima, Shotaro Akaho
2006 — conf
Efficient Clustering for Orders.
ICDM Workshops
Toshihiro Kamishima, Shotaro Akaho
2006 — conf
Efficient First Order Superlinear Algorithms.
AI&M
Peter Géczy, Shotaro Akaho, Shiro Usui
2006 — conf
Extraction and Analysis of Knowledge Worker Activities on Intranet.
PAKM
Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida
2006 C conf
Navigation Space Formalism and Exploration of Knowledge Worker Behavior on Intranet.
iiWAS
Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida
2006 — conf
Riemannian Optimization Method on the Flag Manifold for Independent Subspace Analysis.
ICA
Yasunori Nishimori, Shotaro Akaho, Mark D. Plumbley
2006 J jnl
Supervised ordering by regression combined with Thurstone's model.
Artif. Intell. Rev.
Toshihiro Kamishima, Shotaro Akaho
2005 J jnl
Learning algorithms utilizing quasi-geodesic flows on the Stiefel manifold.
Neurocomputing
Yasunori Nishimori, Shotaro Akaho
2005 A* conf
Supervised Ordering - An Empirical Survey.
ICDM
Toshihiro Kamishima, Hideto Kazawa, Shotaro Akaho
2004 J jnl
Asymptotic Properties of the Fisher Kernel.
Neural Comput.
Koji Tsuda, Shotaro Akaho, Motoaki Kawanabe, Klaus-Robert Müller
2004 — conf
Estimating Attributed Central Orders: An Empirical Comparison.
ECML
Toshihiro Kamishima, Hideto Kazawa, Shotaro Akaho
2004 A* conf
Filling-in Missing Objects in Orders.
ICDM
Toshihiro Kamishima, Shotaro Akaho
2004 — conf
Nonlinear PCA/ICA for the Structure from Motion Problem.
ICA
Jun Fujiki, Shotaro Akaho, Noboru Murata
2004 J jnl
SVM that maximizes the margin in the input space.
Syst. Comput. Jpn.
Shotaro Akaho
2004 B conf
The e-PCA and m-PCA: dimension reduction of parameters by information geometry.
IJCNN
Shotaro Akaho
2003 J jnl
The em Algorithm for Kernel Matrix Completion with Auxiliary Data.
J. Mach. Learn. Res.
Koji Tsuda, Shotaro Akaho, Kiyoshi Asai
2002 J jnl
Approximating Incomplete Kernel Matrices by the em Algorithm
CoRR
Koji Tsuda, Shotaro Akaho, Kiyoshi Asai
2002 J jnl
Conditionally independent component analysis for supervised feature extraction.
Neurocomputing
Shotaro Akaho
2002 — conf
Critical Lines in Symmetry of Mixture Models and its Application to Component Splitting.
NIPS
Kenji Fukumizu, Shotaro Akaho, Shun-ichi Amari
2002 A* conf
Learning from Order Examples.
ICDM
Toshihiro Kamishima, Shotaro Akaho
2002 J jnl
Maximing the Margin in the Input Space
CoRR
Shotaro Akaho
2001 C conf
Conditionally Independent Component Extraction for Naive Bayes Inference.
ICANN
Shotaro Akaho
2000 B conf
Gaze control on virtual active vision system with binocular fish-eye lenses.
SMC
Takio Kurita, Hiroyuki Shimai, Yasutaka Baba, Taketoshi Mishima, Masaru Tanaka, Shotaro Akaho, Shinji Umeyama
2000 — conf
Large Margin Classifier via Semiparametric Inference.
IJCNN (2)
Koji Tsuda, Shotaro Akaho
2000 J jnl
Nonmonotonic Generalization Bias of Gaussian Mixture Models.
Neural Comput.
Shotaro Akaho, Hilbert J. Kappen
1999 B conf
MICA: multimodal independent component analysis.
IJCNN
Shotaro Akaho, Yasuhiko Kiuchi, Shinji Umeyama
1998 B conf
Pursuit Movement of Pan-Tilt Camera by Feedback-Error-Learning.
ICONIP
Shotaro Akaho, Yoshiyasu Goto, Takio Kurita, Hiroshi Mizoguchi
1998 B conf
Statistical Learning in Optimization: Gaussian Modeling for Population Search.
ICONIP
Shotaro Akaho
1997 — conf
Information Integration of the Office-Conversant Mobile Robot Jijo-2.
ICONIP (2)
Hideki Asoh, Satoru Hayamizu, Isao Hara, Yoichi Motomura, Shotaro Akaho, Toshihiro Matsui
1997 — conf
Socially Embedded Learning of the Office-Conversant Mobil Robot Jijo-2.
IJCAI (2)
Hideki Asoh, Satoru Hayamizu, Isao Hara, Yoichi Motomura, Shotaro Akaho, Toshihiro Matsui
1996 A conf
Combining probabilistic map and dialog for robust life-long office navigation.
IROS
Hideki Asoh, Yoichi Motomura, Isao Hara, Shotaro Akaho, Satoru Hayamizu, Toshihiro Matsui
1996 J jnl
Influence of noises added to hidden units on learning of multilayer perceptrons and structurization of networks.
Syst. Comput. Jpn.
Takio Kurita, Hideki Asoh, Shinji Umeyama, Shotaro Akaho, Akitaka Hosomi
1995 — conf
The EM algorithm for multiple object recognition.
ICNN
Shotaro Akaho
1992 B conf
Regularization Learning of Neural Networks for Generalization.
ALT
Shotaro Akaho
1990 B conf
On the capacity of three-layer networks.
IJCNN
Shotaro Akaho, Shun-ichi Amari