M. Kawanabe

发表

Information geometry of estimating functions in semi-parametric statistical models

S. Amari, M. Kawanabe, 1997 .

Direct importance estimation for covariate shift adaptation

M. Kawanabe, Masashi Sugiyama, Taiji Suzuki, 2008 .

How to Explain Individual Classification Decisions pdf

Motoaki Kawanabe, Klaus-Robert Müller, Stefan Harmeling, 2009, J. Mach. Learn. Res..

Estimating Functions in Semiparametric Statistical Models

S. Amari, M. Kawanabe, S. Amari, 1997 .

A semiparametric statistical approach to model-free policy evaluation

Motoaki Kawanabe, Shin Ishii, Takeshi Mori, 2008, ICML '08.

On Taxonomies for Multi-class Image Categorization

Motoaki Kawanabe, Alexander Binder, Klaus-Robert Müller, 2012, International Journal of Computer Vision.

Decoding emotional valence from electroencephalographic rhythmic activity

Motoaki Kawanabe, Aapo Hyvärinen, Takeshi Ogawa, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing

Motoaki Kawanabe, Klaus-Robert Müller, Benjamin Blankertz, 2007, NIPS.

Estimation of Network Parameters in Semiparametric Stochastic Perceptron

Motoaki Kawanabe, Shun-ichi Amari, S. Amari, 1994, Neural Computation.

Di erential Geometry of Estimating functions in Semiparametric Statistical Models

S. Amari, M. Kawanabe, Metr, 1993 .

Trading Variance Reduction with Unbiasedness: The Regularized Subspace Information Criterion for Robust Model Selection in Kernel Regression

Motoaki Kawanabe, Klaus-Robert Müller, Masashi Sugiyama, 2004, Neural Computation.

On-line learning in changing environments with applications in supervised and unsupervised learning

Motoaki Kawanabe, Andreas Ziehe, Klaus-Robert Müller, 2002, Neural Networks.

ASSESSING RELIABILITY OF ICA PROJECTIONS - A RESAMPLING APPROACH

Motoaki Kawanabe, Andreas Ziehe, Frank C. Meinecke, 2001 .

Kernel Feature Spaces and Nonlinear Blind Souce Separation

Motoaki Kawanabe, Andreas Ziehe, Klaus-Robert Müller, 2001, NIPS.

A New Discriminative Kernel from Probabilistic Models

Gunnar Rätsch, Motoaki Kawanabe, Klaus-Robert Müller, 2001, Neural Computation.

Stationary common spatial patterns for brain–computer interfacing

Motoaki Kawanabe, Klaus-Robert Müller, Wojciech Samek, 2012, Journal of neural engineering.

Brain-computer interfacing in discriminative and stationary subspaces

Motoaki Kawanabe, Klaus-Robert Müller, Wojciech Samek, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Independent Component Analysis in the Presence of Gaussian Noise

Motoaki Kawanabe, Noboru Murata, M. Kawanabe, 2000 .

TLS and Its Improvements by Semiparametric Approach

S. Amari, M. Kawanabe, 2002 .

Estimation and learning of network parameters in semiparametric stochastic perceptron

S. Amari, M. Kawanabe, 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

Asymptotic Properties of the Fisher Kernel

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

Structural Differences in Gray Matter between Glider Pilots and Non-Pilots. A Voxel-Based Morphometry Study

M. Kawanabe, S. Ishii, D. Callan, 2014, Front. Neurol..

A new algorithm of non-Gaussian component analysis with radial kernel functions

Motoaki Kawanabe, Klaus-Robert Müller, Masashi Sugiyama, 2007 .

Estimating the Reliability of ICAProjectionsF

M. Kawanabe, A. Ziehe, .. Meinecke, 2013 .

A Minimax Approach to Optimize Spatial Filters for EEG Single-Trial Classification

M. Kawanabe, K. Müller, B. Blankertz, 2009 .

New algorithms for blind separation when sources have spatial variance dependencies

M. Kawanabe, 2004 .

Higher order stationary subspace analysis

M. Kawanabe, K. Müller, P. V. Bünau, 2016 .

Stochastic Perceptron and Semiparametric Statistical Inference

S. Amari, M. Kawanabe, Metr, 1993 .

Characterising subjecto-to-subject variability of brain connectivity with constrained principal component analysis

Motoaki Kawanabe, Aapo Hyvärinen, Jun-ichiro Hirayama, 2017 .

P.413 Towards using EEG-Neurofeedback for the treatment of psychotic symptoms and working memory in schizophrenia: a feasibility study in healthy subjects

M. Kawanabe, C. Cai, R. Tamano, 2020, European Neuropsychopharmacology.

SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG

M. Kawanabe, Qibin Zhao, J. Hirayama, 2022, ArXiv.

SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG

Reinmar J. Kobler, M. Kawanabe, Qibin Zhao, 2022, NeurIPS.

M. Kawanabe, Takeshi Ogawa, Tomohisa Asai, 2022, NeuroImage.

Learning a common dictionary for subject-transfer decoding with resting calibration

Motoaki Kawanabe, Shin Ishii, Junichiro Hirayama, 2015, NeuroImage.

Optimizing Spatial filters for Robust EEG Single-Trial Analysis

K.-R. Muller, B. Blankertz, M. Kawanabe, 2008, IEEE Signal Processing Magazine.

Asymptotic Bayesian generalization error when training and test distributions are different

Motoaki Kawanabe, Klaus-Robert Müller, Masashi Sugiyama, 2007, ICML '07.

Kernel-Based Nonlinear Blind Source Separation

Motoaki Kawanabe, Andreas Ziehe, Klaus-Robert Müller, 2003, Neural Computation.

EEG-based neurofeedback with network components extraction: a data-driven approach by multilayer ICA extension and simultaneous EEG-fMRI measurements

M. Kawanabe, H. Moriya, Takeshi Ogawa, 2021, bioRxiv.

Efficient Classification of Images with Taxonomies

Motoaki Kawanabe, Alexander Binder, Ulf Brefeld, 2009, ACCV.

Supervised saliency maps for first-person videos based on sparse coding

Motoaki Kawanabe, Hideki Asoh, Atsunori Kanemura, 2018, 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Orthogonal Connectivity Factorization: Interpretable Decomposition of Variability in Correlation Matrices

Motoaki Kawanabe, Aapo Hyvärinen, Junichiro Hirayama, 2016, Neural Computation.

Joint low-rank approximation for extracting non-Gaussian subspaces

Motoaki Kawanabe, Fabian J. Theis, Fabian J Theis, 2007, Signal Process..

In Search of Non-Gaussian Components of a High-Dimensional Distribution

Motoaki Kawanabe, Klaus-Robert Müller, Masashi Sugiyama, 2006, J. Mach. Learn. Res..

Uniqueness of Non-Gaussian Subspace Analysis

Motoaki Kawanabe, Fabian J. Theis, Fabian J Theis, 2006, ICA.

A Novel Dimension Reduction Procedure for Searching Non-Gaussian Subspaces

Motoaki Kawanabe, Klaus-Robert Müller, Masashi Sugiyama, 2006, ICA.

Linear Dimension Reduction Based on the Fourth-Order Cumulant Tensor

Motoaki Kawanabe, M. Kawanabe, 2005, ICANN.

Estimating Functions for Blind Separation When Sources Have Variance Dependencies

Motoaki Kawanabe, Klaus-Robert Müller, M. Kawanabe, 2004, J. Mach. Learn. Res..

Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation

Motoaki Kawanabe, Andreas Ziehe, Klaus-Robert Müller, 2003, J. Mach. Learn. Res..

A resampling approach to estimate the stability of one-dimensional or multidimensional independent components

Motoaki Kawanabe, Andreas Ziehe, Klaus-Robert Müller, 2002, IEEE Transactions on Biomedical Engineering.

Estimating the Reliability of ICA Projections

Motoaki Kawanabe, Andreas Ziehe, Klaus-Robert Müller, 2001, NIPS.

SPLICE: Fully Tractable Hierarchical Extension of ICA with Pooling

Motoaki Kawanabe, Aapo Hyvärinen, Junichiro Hirayama, 2017, ICML.

Clustering with the Fisher Score

Motoaki Kawanabe, Klaus-Robert Müller, Koji Tsuda, 2002, NIPS.

Interpretable brain age prediction using linear latent variable models of functional connectivity

Motoaki Kawanabe, Aapo Hyvärinen, Ricardo Pio Monti, 2019, PloS one.

Asymmetric directed functional connectivity within the frontoparietal motor network during motor imagery and execution

Motoaki Kawanabe, Takeshi Ogawa, Jun-ichiro Hirayama, 2020, bioRxiv.

Optimal Cluster Preserving Embedding of Nonmetric Proximity Data

Joachim M. Buhmann, Motoaki Kawanabe, Volker Roth, 2003, IEEE Trans. Pattern Anal. Mach. Intell..

Enhancing Recognition of Visual Concepts with Primitive Color Histograms via Non-sparse Multiple Kernel Learning

Motoaki Kawanabe, Alexander Binder, M. Kawanabe, 2009, CLEF.

Fraunhofer FIRST's Submission to ImageCLEF2009 Photo Annotation Task: Non-sparse Multiple Kernel Learning

Motoaki Kawanabe, Alexander Binder, M. Kawanabe, 2009, CLEF.

On robust parameter estimation in brain–computer interfacing

Motoaki Kawanabe, Shinichi Nakajima, Klaus-Robert Müller, 2017, Journal of neural engineering.

Robust Spatial Filtering with Beta Divergence

Motoaki Kawanabe, Klaus-Robert Müller, Wojciech Samek, 2013, NIPS.

ScanQA: 3D Question Answering for Spatial Scene Understanding

M. Kawanabe, Taiki Miyanishi, Daich Azuma, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

IndoLabel: Predicting Indoor Location Class by Discovering Location-Specific Sensor Data Motifs

Motoaki Kawanabe, Takuya Maekawa, Takahiro Hara, 2022, IEEE Sensors Journal.

Toward Unsupervised Adaptation of LDA for Brain–Computer Interfaces

Motoaki Kawanabe, Benjamin Blankertz, Klaus-Robert Müller, 2011, IEEE Transactions on Biomedical Engineering.

Machine Learning in Non-Stationary Environments - Introduction to Covariate Shift Adaptation

Motoaki Kawanabe, Masashi Sugiyama, M. Kawanabe, 2012, Adaptive computation and machine learning.

Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation

Motoaki Kawanabe, Shinichi Nakajima, Masashi Sugiyama, 2007, NIPS.

Multi-Sensor Integration for Key-Frame Extraction From First-Person Videos

Motoaki Kawanabe, Hideki Asoh, Atsunori Kanemura, 2020, IEEE Access.

Optimal Online Learning Procedures for Model-Free Policy Evaluation

Motoaki Kawanabe, Shin Ishii, Tsuyoshi Ueno, 2009, ECML/PKDD.

Sim2RealQA: Using Life Simulation to Solve Question Answering Real-World Events

Motoaki Kawanabe, Takuya Maekawa, Taiki Miyanishi, 2021, IEEE Access.

Generalized TD Learning

Motoaki Kawanabe, Shin Ishii, Tsuyoshi Ueno, 2011, J. Mach. Learn. Res..

Watch, Listen, and Answer: Open-Ended VideoQA with Modulated Multi-Stream 3D ConvNets

Motoaki Kawanabe, Taiki Miyanishi, M. Kawanabe, 2021, 2021 29th European Signal Processing Conference (EUSIPCO).

Estimating Non-Gaussian Subspaces by Characteristic Functions

Motoaki Kawanabe, Fabian J. Theis, Fabian J Theis, 2006, ICA.

Decoding spatial attention by using cortical currents estimated from electroencephalography with near-infrared spectroscopy prior information

Motoaki Kawanabe, Shin Ishii, Shigeyuki Oba, 2014, NeuroImage.

Robust Common Spatial Filters with a Maxmin Approach

Motoaki Kawanabe, Klaus-Robert Müller, Wojciech Samek, 2014, Neural Computation.

Robust common spatial filters with a maxmin approach

Motoaki Kawanabe, Klaus-Robert Müller, Carmen Vidaurre, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A Maxmin Approach to Optimize Spatial Filters for EEG Single-Trial Classification

Motoaki Kawanabe, Klaus-Robert Müller, Benjamin Blankertz, 2009, IWANN.

Divergence-Based Framework for Common Spatial Patterns Algorithms

Motoaki Kawanabe, Wojciech Samek, Klaus-Robert Muller, 2014, IEEE Reviews in Biomedical Engineering.

Characterizing Variability of Modular Brain Connectivity with Constrained Principal Component Analysis

Motoaki Kawanabe, Aapo Hyvärinen, Jun-ichiro Hirayama, 2016, PloS one.

Uniqueness of Non-Gaussianity-Based Dimension Reduction

Motoaki Kawanabe, Klaus-Robert Müller, Fabian J. Theis, 2011, IEEE Transactions on Signal Processing.

Two-Stream Spatiotemporal Compositional Attention Network for VideoQA

Motoaki Kawanabe, Takuya Maekawa, Taiki Miyanishi, 2020, BMVC.

Modeling Sparse Connectivity Between Underlying Brain Sources for EEG/MEG

Motoaki Kawanabe, Stefan Haufe, Klaus-Robert Müller, 2009, IEEE Transactions on Biomedical Engineering.

Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace search

Motoaki Kawanabe, Takafumi Kanamori, Masashi Sugiyama, 2011, Neural Networks.

Dimensionality reduction for density ratio estimation in high-dimensional spaces

Motoaki Kawanabe, Masashi Sugiyama, Pui Ling Chui, 2010, Neural Networks.

A procedure of adaptive kernel combination with kernel-target alignment for object classification

Motoaki Kawanabe, Shinichi Nakajima, Alexander Binder, 2009, CIVR '09.

Non-Gaussian Component Analysis: a Semi-parametric Framework for Linear Dimension Reduction

Motoaki Kawanabe, Klaus-Robert Müller, Masashi Sugiyama, 2005, NIPS.

Insights from Classifying Visual Concepts with Multiple Kernel Learning

Motoaki Kawanabe, Shinichi Nakajima, Alexander Binder, 2011, PloS one.

On-line Hand Gesture Recognition to Control Digital TV using a Boosted and Randomized Clustering Forest

Motoaki Kawanabe, Takeshi Ogawa, Takayuki Suyama, 2015, VISAPP.

Asymmetric directed functional connectivity within the frontoparietal motor network during motor imagery and execution

M. Kawanabe, Takeshi Ogawa, J. Hirayama, 2021, NeuroImage.

Learning invariances with Stationary Subspace Analysis

Motoaki Kawanabe, Klaus-Robert Müller, Frank C. Meinecke, 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.

Direct Density-Ratio Estimation with Dimensionality Reduction

M. Kawanabe, Masashi Sugiyama, 2012, SDM 2012.

Improving BCI Performance by Modified Common Spatial Patterns with Robustly Averaged Covariance Matrices

M. Kawanabe, C. Vidaurre, M. Kawanabe, 2009 .

Controlling The Fréchet Variance Improves Batch Normalization on the Symmetric Positive Definite Manifold

Reinmar J. Kobler, M. Kawanabe, J. Hirayama, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

On the interpretation of linear Riemannian tangent space model parameters in M/EEG

Motoaki Kawanabe, Gernot R. Müller-Putz, Junichiro Hirayama, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Brain-machine interfaces for assistive smart homes: A feasibility study with wearable near-infrared spectroscopy

Motoaki Kawanabe, Shin Ishii, Akihiro Ishikawa, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Multi-modal visual concept classification of images via Markov random walk over tags

Motoaki Kawanabe, Alexander Binder, Christina Müller, 2011, 2011 IEEE Workshop on Applications of Computer Vision (WACV).

Divergence-Based Framework for Common Spatial Patterns Algorithms

M. Kawanabe, W. Samek, K.-R. Muller, 2014, IEEE Reviews in Biomedical Engineering.

CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud Data

M. Kawanabe, Taiki Miyanishi, Shuhei Kurita, 2023, NeurIPS.