Motoaki Kawanabe

113 papers A* 10A 8B 6C 1Misc 4Journal 43Unranked 39

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	HEEGNet: Hyperbolic Embeddings for EEG. CoRR Shanglin Li, Shiwen Chu, Okan Koç, Yi Ding, Qibin Zhao, Motoaki Kawanabe, Ziheng Chen
2025	J	`jnl`	SPD Learning for Covariance-Based Neuroimaging Analysis: Perspectives, Methods, and Challenges. CoRR Ce Ju, Reinmar J. Kobler, Antoine Collas, Motoaki Kawanabe, Cuntai Guan, Bertrand Thirion
2025	A*	`conf`	SPDIM: Source-Free Unsupervised Conditional and Label Shift Adaptation in EEG. ICLR Shanglin Li, Motoaki Kawanabe, Reinmar J. Kobler
2024	A	`conf`	Answerability Fields: Answerable Location Estimation via Diffusion Models. IROS Daichi Azuma, Taiki Miyanishi, Shuhei Kurita, Koya Sakamoto, Motoaki Kawanabe
2024	J	`jnl`	Answerability Fields: Answerable Location Estimation via Diffusion Models. CoRR Daichi Azuma, Taiki Miyanishi, Shuhei Kurita, Koya Sakamoto, Motoaki Kawanabe
2024	—	`conf`	Cross3DVG: Cross-Dataset 3D Visual Grounding on Different RGB-D Scans. 3DV Taiki Miyanishi, Daichi Azuma, Shuhei Kurita, Motoaki Kawanabe
2024	A*	`conf`	Deep Geodesic Canonical Correlation Analysis for Covariance-Based Neuroimaging Data. ICLR Ce Ju, Reinmar J. Kobler, Liyao Tang, Cuntai Guan, Motoaki Kawanabe
2024	B	`conf`	Geometric Deep Learning to Enhance Imbalanced Domain Adaptation in EEG. ESANN Shanglin Li, Motoaki Kawanabe, Reinmar J. Kobler
2024	A	`conf`	Map-based Modular Approach for Zero-shot Embodied Question Answering. IROS Koya Sakamoto, Daichi Azuma, Taiki Miyanishi, Shuhei Kurita, Motoaki Kawanabe
2024	J	`jnl`	Map-based Modular Approach for Zero-shot Embodied Question Answering. CoRR Koya Sakamoto, Daichi Azuma, Taiki Miyanishi, Shuhei Kurita, Motoaki Kawanabe
2024	J	`jnl`	SPDIM: Source-Free Unsupervised Conditional and Label Shift Adaptation in EEG. CoRR Shanglin Li, Motoaki Kawanabe, Reinmar J. Kobler
2023	A*	`conf`	CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud Data. NeurIPS Taiki Miyanishi, Fumiya Kitamori, Shuhei Kurita, Jungdae Lee, Motoaki Kawanabe, Nakamasa Inoue
2023	J	`jnl`	CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud Data. CoRR Taiki Miyanishi, Fumiya Kitamori, Shuhei Kurita, Jungdae Lee, Motoaki Kawanabe, Nakamasa Inoue
2023	J	`jnl`	Cross3DVG: Baseline and Dataset for Cross-Dataset 3D Visual Grounding on Different RGB-D Scans. CoRR Taiki Miyanishi, Daichi Azuma, Shuhei Kurita, Motoaki Kawanabe
2022	J	`jnl`	Asymmetric directed functional connectivity within the frontoparietal motor network during motor imagery and execution. NeuroImage Takeshi Ogawa, Hideki Shimobayashi, Jun-ichiro Hirayama, Motoaki Kawanabe
2022	Misc	`conf`	Controlling The Fréchet Variance Improves Batch Normalization on the Symmetric Positive Definite Manifold. ICASSP Reinmar J. Kobler, Jun-ichiro Hirayama, Motoaki Kawanabe
2022	J	`jnl`	Event-related microstate dynamics represents working memory performance. NeuroImage Ryuta Tamano, Takeshi Ogawa, Arisa Katagiri, Chang Cai, Tomohisa Asai, Motoaki Kawanabe
2022	A*	`conf`	SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG. NeurIPS Reinmar J. Kobler, Jun-ichiro Hirayama, Qibin Zhao, Motoaki Kawanabe
2022	J	`jnl`	SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG. CoRR Reinmar J. Kobler, Jun-ichiro Hirayama, Qibin Zhao, Motoaki Kawanabe
2022	A*	`conf`	ScanQA: 3D Question Answering for Spatial Scene Understanding. CVPR Daichi Azuma, Taiki Miyanishi, Shuhei Kurita, Motoaki Kawanabe
2021	—	`conf`	On the interpretation of linear Riemannian tangent space model parameters in M/EEG. EMBC Reinmar J. Kobler, Junichiro Hirayama, Lea Hehenberger, Catarina Lopes Dias, Gernot R. Müller-Putz, Motoaki Kawanabe
2021	J	`jnl`	On the interpretation of linear Riemannian tangent space model parameters in M/EEG. CoRR Reinmar J. Kobler, Junichiro Hirayama, Lea Hehenberger, Catarina Lopes Dias, Gernot R. Müller-Putz, Motoaki Kawanabe
2021	J	`jnl`	ScanQA: 3D Question Answering for Spatial Scene Understanding. CoRR Daichi Azuma, Taiki Miyanishi, Shuhei Kurita, Motoaki Kawanabe
2021	J	`jnl`	Sim2RealQA: Using Life Simulation to Solve Question Answering Real-World Events. IEEE Access Taiki Miyanishi, Takuya Maekawa, Motoaki Kawanabe
2021	—	`conf`	Watch, Listen, and Answer: Open-Ended VideoQA with Modulated Multi-Stream 3D ConvNets. EUSIPCO Taiki Miyanishi, Motoaki Kawanabe
2020	J	`jnl`	Multi-Sensor Integration for Key-Frame Extraction From First-Person Videos. IEEE Access Yujie Li, Atsunori Kanemura, Hideki Asoh, Taiki Miyanishi, Motoaki Kawanabe
2020	A	`conf`	Two-Stream Spatiotemporal Compositional Attention Network for VideoQA. BMVC Taiki Miyanishi, Takuya Maekawa, Motoaki Kawanabe
2019	A	`conf`	Pedestrian Density Prediction for Efficient Mobile Robot Exploration. IROS Marc Patrick H. Zapf, Motoaki Kawanabe, Luis Yoichi Morales Saiki
2018	Misc	`conf`	A Sparse Coding Framework for Gaze Prediction in Egocentric Video. ICASSP Yujie Li, Atsunori Kanemura, Hideki Asoh, Taiki Miyanishi, Motoaki Kawanabe
2018	A*	`conf`	Answering Mixed Type Questions about Daily Living Episodes. IJCAI Taiki Miyanishi, Junichiro Hirayama, Atsunori Kanemura, Motoaki Kawanabe
2018	B	`conf`	Data-Driven, 3-D Classification of Person-Object Relationships and Semantic Context Clustering for Robotics and AI Applications. RO-MAN Marc Patrick H. Zapf, Astha Gupta, Luis Yoichi Morales Saiki, Motoaki Kawanabe
2018	A*	`conf`	Generating an Event Timeline About Daily Activities From a Semantic Concept Stream. AAAI Taiki Miyanishi, Junichiro Hirayama, Takuya Maekawa, Motoaki Kawanabe
2018	—	`conf`	Supervised saliency maps for first-person videos based on sparse coding. APSIPA Yujie Li, Atsunori Kanemura, Hideki Asoh, Taiki Miyanishi, Motoaki Kawanabe
2017	—	`conf`	Decoding emotional valence from electroencephalographic rhythmic activity. EMBC Hande Çelikkanat, Hiroki Moriya, Takeshi Ogawa, Jukka-Pekka Kauppi, Motoaki Kawanabe, Aapo Hyvärinen
2017	B	`conf`	Extracting key frames from first-person videos in the common space of multiple sensors. ICIP Yujie Li, Atsunori Kanemura, Hideki Asoh, Taiki Miyanishi, Motoaki Kawanabe
2017	A	`conf`	Key frame extraction from first-person video with multi-sensor integration. ICME Yujie Li, Atsunori Kanemura, Hideki Asoh, Taiki Miyanishi, Motoaki Kawanabe
2017	A*	`conf`	SPLICE: Fully Tractable Hierarchical Extension of ICA with Pooling. ICML Junichiro Hirayama, Aapo Hyvärinen, Motoaki Kawanabe
2016	J	`jnl`	Orthogonal Connectivity Factorization: Interpretable Decomposition of Variability in Correlation Matrices. Neural Comput. Aapo Hyvärinen, Junichiro Hirayama, Vesa Kiviniemi, Motoaki Kawanabe
2015	—	`conf`	Brain-machine interfaces for assistive smart homes: A feasibility study with wearable near-infrared spectroscopy. EMBC Takeshi Ogawa, Junichiro Hirayama, Pankaj Gupta, Hiroki Moriya, Shumpei Yamaguchi, Akihiro Ishikawa, Yoshihiro Inoue, Motoaki Kawanabe, Shin Ishii
2015	J	`jnl`	Learning a common dictionary for subject-transfer decoding with resting calibration. NeuroImage Hiroshi Morioka, Atsunori Kanemura, Junichiro Hirayama, Manabu Shikauchi, Takeshi Ogawa, Shigeyuki Ikeda, Motoaki Kawanabe, Shin Ishii
2015	—	`conf`	On-line Hand Gesture Recognition to Control Digital TV using a Boosted and Randomized Clustering Forest. VISAPP (2) Ken Yano, Takeshi Ogawa, Motoaki Kawanabe, Takayuki Suyama
2014	J	`jnl`	Decoding spatial attention by using cortical currents estimated from electroencephalography with near-infrared spectroscopy prior information. NeuroImage Hiroshi Morioka, Atsunori Kanemura, Satoshi Morimoto, Taku Yoshioka, Shigeyuki Oba, Motoaki Kawanabe, Shin Ishii
2014	—	`conf`	Dynamic connectivity factorization: Interpretable decompositions of non-stationarity. PRNI Aapo Hyvärinen, Junichiro Hirayama, Motoaki Kawanabe
2014	—	`ch.`	Machine Learning for Visual Concept Recognition and Ranking for Images. Towards the Internet of Services Alexander Binder, Wojciech Samek, Klaus-Robert Müller, Motoaki Kawanabe
2014	J	`jnl`	Robust Common Spatial Filters with a Maxmin Approach. Neural Comput. Motoaki Kawanabe, Wojciech Samek, Klaus-Robert Müller, Carmen Vidaurre
2014	Misc	`conf`	Robust common spatial patterns by minimum divergence covariance estimator. ICASSP Wojciech Samek, Motoaki Kawanabe
2014	—	`conf`	Robust feature construction against non-stationarity for EEG brain-machine interface. BCI Motoaki Kawanabe
2013	A	`conf`	A waypoint-based framework in brain-controlled smart home environments: Brain interfaces, domotics, and robotics integration. IROS Atsunori Kanemura, Yoichi Morales Saiki, Motoaki Kawanabe, Hiroshi Morioka, Nagasrikanth Kallakuri, Tetsushi Ikeda, Takahiro Miyashita, Norihiro Hagita, Shin Ishii
2013	J	`jnl`	Enhanced representation and multi-task learning for image annotation. Comput. Vis. Image Underst. Alexander Binder, Wojciech Samek, Klaus-Robert Müller, Motoaki Kawanabe
2013	—	`conf`	Robust Spatial Filtering with Beta Divergence. NIPS Wojciech Samek, Duncan A. J. Blythe, Klaus-Robert Müller, Motoaki Kawanabe
2012	—	`conf`	Brain-computer interfacing in discriminative and stationary subspaces. EMBC Wojciech Samek, Klaus-Robert Müller, Motoaki Kawanabe, Carmen Vidaurre
2012	—	`book`	Machine Learning in Non-Stationary Environments - Introduction to Covariate Shift Adaptation. Masashi Sugiyama, Motoaki Kawanabe
2012	J	`jnl`	On Taxonomies for Multi-class Image Categorization. Int. J. Comput. Vis. Alexander Binder, Klaus-Robert Müller, Motoaki Kawanabe
2011	—	`conf`	An Information Geometrical View of Stationary Subspace Analysis. ICANN (2) Motoaki Kawanabe, Wojciech Samek, Paul von Bünau, Frank C. Meinecke
2011	J	`jnl`	Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace search. Neural Networks Masashi Sugiyama, Makoto Yamada, Paul von Bünau, Taiji Suzuki, Takafumi Kanamori, Motoaki Kawanabe
2011	J	`jnl`	Generalized TD Learning. J. Mach. Learn. Res. Tsuyoshi Ueno, Shin-ichi Maeda, Motoaki Kawanabe, Shin Ishii
2011	—	`conf`	Improving Classification Performance of BCIs by Using Stationary Common Spatial Patterns and Unsupervised Bias Adaptation. HAIS (2) Wojciech Wojcikiewicz, Carmen Vidaurre, Motoaki Kawanabe
2011	J	`jnl`	Insights from Classifying Visual Concepts with Multiple Kernel Learning CoRR Alexander Binder, Shinichi Nakajima, Marius Kloft, Christina Müller, Wojciech Samek, Ulf Brefeld, Klaus-Robert Müller, Motoaki Kawanabe
2011	—	`conf`	Modelling Non-stationarities in EEG Data with Robust Principal Component Analysis. HAIS (2) Javier Pascual, Motoaki Kawanabe, Carmen Vidaurre
2011	A	`conf`	Multi-modal visual concept classification of images via Markov random walk over tags. WACV Motoaki Kawanabe, Alexander Binder, Christina Müller, Wojciech Wojcikiewicz
2011	—	`conf`	Multi-task Learning via Non-sparse Multiple Kernel Learning. CAIP (1) Wojciech Samek, Alexander Binder, Motoaki Kawanabe
2011	Misc	`conf`	Stationary Common Spatial Patterns: Towards robust classification of non-stationary EEG signals. ICASSP Wojciech Wojcikiewicz, Carmen Vidaurre, Motoaki Kawanabe
2011	—	`conf`	The Joint Submission of the TU Berlin and Fraunhofer FIRST (TUBFI) to the ImageCLEF2011 Photo Annotation Task. CLEF (Notebook Papers/Labs/Workshop) Alexander Binder, Wojciech Samek, Marius Kloft, Christina Müller, Klaus-Robert Müller, Motoaki Kawanabe
2011	J	`jnl`	Toward Unsupervised Adaptation of LDA for Brain-Computer Interfaces. IEEE Trans. Biomed. Eng. Carmen Vidaurre, Motoaki Kawanabe, Paul von Bünau, Benjamin Blankertz, Klaus-Robert Müller
2011	J	`jnl`	Uniqueness of Non-Gaussianity-Based Dimension Reduction. IEEE Trans. Signal Process. Fabian J. Theis, Motoaki Kawanabe, Klaus-Robert Müller
2010	—	`conf`	A Hybrid Supervised-Unsupervised Vocabulary Generation Algorithm for Visual Concept Recognition. ACCV (3) Alexander Binder, Wojciech Wojcikiewicz, Christina Müller, Motoaki Kawanabe
2010	J	`jnl`	Dimensionality reduction for density ratio estimation in high-dimensional spaces. Neural Networks Masashi Sugiyama, Motoaki Kawanabe, Pui Ling Chui
2010	A	`conf`	Direct Density Ratio Estimation with Dimensionality Reduction. SDM Masashi Sugiyama, Satoshi Hara, Paul von Bünau, Taiji Suzuki, Takafumi Kanamori, Motoaki Kawanabe
2010	B	`conf`	Enhancing Image Classification with Class-wise Clustered Vocabularies. ICPR Wojciech Wojcikiewicz, Alexander Binder, Motoaki Kawanabe
2010	J	`jnl`	How to Explain Individual Classification Decisions. J. Mach. Learn. Res. David Baehrens, Timon Schroeter, Stefan Harmeling, Motoaki Kawanabe, Katja Hansen, Klaus-Robert Müller
2010	J	`jnl`	Modeling Sparse Connectivity Between Underlying Brain Sources for EEG/MEG. IEEE Trans. Biomed. Eng. Stefan Haufe, Ryota Tomioka, Guido Nolte, Klaus-Robert Müller, Motoaki Kawanabe
2010	B	`conf`	Shrinking large visual vocabularies using multi-label agglomerative information bottleneck. ICIP Wojciech Wojcikiewicz, Alexander Binder, Motoaki Kawanabe
2009	—	`conf`	A Maxmin Approach to Optimize Spatial Filters for EEG Single-Trial Classification. IWANN (1) Motoaki Kawanabe, Carmen Vidaurre, Benjamin Blankertz, Klaus-Robert Müller
2009	—	`conf`	A procedure of adaptive kernel combination with kernel-target alignment for object classification. CIVR Motoaki Kawanabe, Shinichi Nakajima, Alexander Binder
2009	—	`conf`	Efficient Classification of Images with Taxonomies. ACCV (3) Alexander Binder, Motoaki Kawanabe, Ulf Brefeld
2009	—	`conf`	Enhancing Recognition of Visual Concepts with Primitive Color Histograms via Non-sparse Multiple Kernel Learning. CLEF (2) Alexander Binder, Motoaki Kawanabe
2009	—	`conf`	Fraunhofer FIRST's Submission to ImageCLEF2009 Photo Annotation Task: Non-sparse Multiple Kernel Learning. CLEF (Working Notes) Alexander Binder, Motoaki Kawanabe
2009	J	`jnl`	How to Explain Individual Classification Decisions CoRR David Baehrens, Timon Schroeter, Stefan Harmeling, Motoaki Kawanabe, Katja Hansen, Klaus-Robert Müller
2009	—	`conf`	Learning invariances with Stationary Subspace Analysis. ICCV Workshops Frank C. Meinecke, Paul von Bünau, Motoaki Kawanabe, Klaus-Robert Müller
2009	—	`conf`	Optimal Online Learning Procedures for Model-Free Policy Evaluation. ECML/PKDD (2) Tsuyoshi Ueno, Shin-ichi Maeda, Motoaki Kawanabe, Shin Ishii
2008	A*	`conf`	A semiparametric statistical approach to model-free policy evaluation. ICML Tsuyoshi Ueno, Motoaki Kawanabe, Takeshi Mori, Shin-ichi Maeda, Shin Ishii
2008	J	`jnl`	Approximating the Best Linear Unbiased Estimator of Non-Gaussian Signals with Gaussian Noise. IEICE Trans. Inf. Syst. Masashi Sugiyama, Motoaki Kawanabe, Gilles Blanchard, Klaus-Robert Müller
2008	J	`jnl`	Optimizing Spatial filters for Robust EEG Single-Trial Analysis. IEEE Signal Process. Mag. Benjamin Blankertz, Ryota Tomioka, Steven Lemm, Motoaki Kawanabe, Klaus-Robert Müller
2007	A*	`conf`	Asymptotic Bayesian generalization error when training and test distributions are different. ICML Keisuke Yamazaki, Motoaki Kawanabe, Sumio Watanabe, Masashi Sugiyama, Klaus-Robert Müller
2007	—	`conf`	Colored Subspace Analysis. ICA Fabian J. Theis, Motoaki Kawanabe
2007	—	`conf`	Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation. NIPS Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashima, Paul von Bünau, Motoaki Kawanabe
2007	—	`conf`	Heterogeneous Component Analysis. NIPS Shigeyuki Oba, Motoaki Kawanabe, Klaus-Robert Müller, Shin Ishii
2007	—	`conf`	Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing. NIPS Benjamin Blankertz, Motoaki Kawanabe, Ryota Tomioka, Friederike U. Hohlefeld, Vadim V. Nikulin, Klaus-Robert Müller
2007	J	`jnl`	Joint low-rank approximation for extracting non-Gaussian subspaces. Signal Process. Motoaki Kawanabe, Fabian J. Theis
2006	—	`conf`	A Novel Dimension Reduction Procedure for Searching Non-Gaussian Subspaces. ICA Motoaki Kawanabe, Gilles Blanchard, Masashi Sugiyama, Vladimir G. Spokoiny, Klaus-Robert Müller
2006	—	`conf`	Estimating Non-Gaussian Subspaces by Characteristic Functions. ICA Motoaki Kawanabe, Fabian J. Theis
2006	J	`jnl`	In Search of Non-Gaussian Components of a High-Dimensional Distribution. J. Mach. Learn. Res. Gilles Blanchard, Motoaki Kawanabe, Masashi Sugiyama, Vladimir G. Spokoiny, Klaus-Robert Müller
2006	—	`conf`	Obtaining the Best Linear Unbiased Estimator of Noisy Signals by Non-Gaussian Component Analysis. ICASSP (3) Masashi Sugiyama, Motoaki Kawanabe, Gilles Blanchard, Vladimir G. Spokoiny, Klaus-Robert Müller
2006	—	`conf`	Uniqueness of Non-Gaussian Subspace Analysis. ICA Fabian J. Theis, Motoaki Kawanabe
2005	J	`jnl`	Estimating Functions for Blind Separation When Sources Have Variance Dependencies. J. Mach. Learn. Res. Motoaki Kawanabe, Klaus-Robert Müller
2005	—	`conf`	Linear Dimension Reduction Based on the Fourth-Order Cumulant Tensor. ICANN (2) Motoaki Kawanabe
2005	—	`conf`	Non-Gaussian Component Analysis: a Semi-parametric Framework for Linear Dimension Reduction. NIPS Gilles Blanchard, Masashi Sugiyama, Motoaki Kawanabe, Vladimir G. Spokoiny, Klaus-Robert Müller
2004	J	`jnl`	Asymptotic Properties of the Fisher Kernel. Neural Comput. Koji Tsuda, Shotaro Akaho, Motoaki Kawanabe, Klaus-Robert Müller
2004	—	`conf`	Estimating Functions for Blind Separation when Sources Have Variance-Dependencies. ICA Motoaki Kawanabe, Klaus-Robert Müller
2004	B	`conf`	Regularizing generalization error estimators: a novel approach to robust model selection. ESANN Masashi Sugiyama, Motoaki Kawanabe, Klaus-Robert Müller
2004	J	`jnl`	Trading Variance Reduction with Unbiasedness: The Regularized Subspace Information Criterion for Robust Model Selection in Kernel Regression. Neural Comput. Masashi Sugiyama, Motoaki Kawanabe, Klaus-Robert Müller
2003	J	`jnl`	Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation. J. Mach. Learn. Res. Andreas Ziehe, Motoaki Kawanabe, Stefan Harmeling, Klaus-Robert Müller
2003	J	`jnl`	Kernel-Based Nonlinear Blind Source Separation. Neural Comput. Stefan Harmeling, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller
2003	J	`jnl`	Optimal Cluster Preserving Embedding of Nonmetric Proximity Data. IEEE Trans. Pattern Anal. Mach. Intell. Volker Roth, Julian Laub, Motoaki Kawanabe, Joachim M. Buhmann
2002	J	`jnl`	A New Discriminative Kernel from Probabilistic Models. Neural Comput. Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller
2002	J	`jnl`	A resampling approach to estimate the stability of one-dimensional or multidimensional independent components. IEEE Trans. Biomed. Eng. Frank C. Meinecke, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller
2002	—	`conf`	Clustering with the Fisher Score. NIPS Koji Tsuda, Motoaki Kawanabe, Klaus-Robert Müller
2002	J	`jnl`	On-line learning in changing environments with applications in supervised and unsupervised learning. Neural Networks Noboru Murata, Motoaki Kawanabe, Andreas Ziehe, Klaus-Robert Müller, Shun-ichi Amari
2002	C	`conf`	The Leave-One-Out Kernel. ICANN Koji Tsuda, Motoaki Kawanabe
2001	—	`conf`	A New Discriminative Kernel From Probabilistic Models. NIPS Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller
2001	—	`conf`	Estimating the Reliability of ICA Projections. NIPS Frank C. Meinecke, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller
2001	—	`conf`	Kernel Feature Spaces and Nonlinear Blind Souce Separation. NIPS Stefan Harmeling, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller
1994	J	`jnl`	Estimation of Network Parameters in Semiparametric Stochastic Perceptron. Neural Comput. Motoaki Kawanabe, Shun-ichi Amari