Estimation of Network Parameters in Semiparametric Stochastic Perceptron. - Motoaki Kawanabe; Shun-ichi Amari (Neural Comput., 1994)

Kernel Feature Spaces and Nonlinear Blind Souce Separation. - Stefan Harmeling; Andreas Ziehe; Motoaki Kawanabe; Klaus-Robert Müller (NIPS, 2001)

Estimating the Reliability of ICA Projections. - Frank C. Meinecke; Andreas Ziehe; Motoaki Kawanabe; Klaus-Robert Müller (NIPS, 2001)

The Leave-One-Out Kernel. - Koji Tsuda; Motoaki Kawanabe (ICANN, 2002)

Clustering with the Fisher Score. - Koji Tsuda; Motoaki Kawanabe; Klaus-Robert Müller (NIPS, 2002)

A New Discriminative Kernel from Probabilistic Models. - Koji Tsuda; Motoaki Kawanabe; Gunnar Rätsch; Sören Sonnenburg; Klaus-Robert Müller (Neural Comput., 2002)

On-line learning in changing environments with applications in supervised and unsupervised learning. - Noboru Murata; Motoaki Kawanabe; Andreas Ziehe; Klaus-Robert Müller; Shun-ichi Amari (Neural Networks, 2002)

A resampling approach to estimate the stability of one-dimensional or multidimensional independent components. - Frank C. Meinecke; Andreas Ziehe; Motoaki Kawanabe; Klaus-Robert Müller (IEEE Trans. Biomed. Eng., 2002)

Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation. - Andreas Ziehe; Motoaki Kawanabe; Stefan Harmeling; Klaus-Robert Müller (J. Mach. Learn. Res., 2003)

Kernel-Based Nonlinear Blind Source Separation. - Stefan Harmeling; Andreas Ziehe; Motoaki Kawanabe; Klaus-Robert Müller (Neural Comput., 2003)

Optimal Cluster Preserving Embedding of Nonmetric Proximity Data. - Volker Roth 001; Julian Laub; Motoaki Kawanabe; Joachim M. Buhmann (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

Regularizing generalization error estimators: a novel approach to robust model selection. - Masashi Sugiyama; Motoaki Kawanabe; Klaus-Robert Müller (ESANN, 2004)

Trading Variance Reduction with Unbiasedness: The Regularized Subspace Information Criterion for Robust Model Selection in Kernel Regression. - Masashi Sugiyama; Motoaki Kawanabe; Klaus-Robert Müller (Neural Comput., 2004)

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

Linear Dimension Reduction Based on the Fourth-Order Cumulant Tensor. - Motoaki Kawanabe (ICANN (2), 2005)

Non-Gaussian Component Analysis: a Semi-parametric Framework for Linear Dimension Reduction. - Gilles Blanchard; Masashi Sugiyama; Motoaki Kawanabe; Vladimir G. Spokoiny; Klaus-Robert Müller (NIPS, 2005)

Estimating Functions for Blind Separation When Sources Have Variance Dependencies. - Motoaki Kawanabe; Klaus-Robert Müller (J. Mach. Learn. Res., 2005)

A Novel Dimension Reduction Procedure for Searching Non-Gaussian Subspaces. - Motoaki Kawanabe; Gilles Blanchard; Masashi Sugiyama; Vladimir G. Spokoiny; Klaus-Robert Müller (ICA, 2006)

Estimating Non-Gaussian Subspaces by Characteristic Functions. - Motoaki Kawanabe; Fabian J. Theis (ICA, 2006)

Uniqueness of Non-Gaussian Subspace Analysis. - Fabian J. Theis; Motoaki Kawanabe (ICA, 2006)

Obtaining the Best Linear Unbiased Estimator of Noisy Signals by Non-Gaussian Component Analysis. - Masashi Sugiyama; Motoaki Kawanabe; Gilles Blanchard; Vladimir G. Spokoiny; Klaus-Robert Müller (ICASSP (3), 2006)

In Search of Non-Gaussian Components of a High-Dimensional Distribution. - Gilles Blanchard; Motoaki Kawanabe; Masashi Sugiyama; Vladimir G. Spokoiny; Klaus-Robert Müller (J. Mach. Learn. Res., 2006)

Colored Subspace Analysis. - Fabian J. Theis; Motoaki Kawanabe (ICA, 2007)

Asymptotic Bayesian generalization error when training and test distributions are different. - Keisuke Yamazaki; Motoaki Kawanabe; Sumio Watanabe; Masashi Sugiyama; Klaus-Robert Müller (ICML, 2007)

Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing. - Benjamin Blankertz; Motoaki Kawanabe; Ryota Tomioka; Friederike U. Hohlefeld; Vadim V. Nikulin; Klaus-Robert Müller (NIPS, 2007)

Heterogeneous Component Analysis. - Shigeyuki Oba; Motoaki Kawanabe; Klaus-Robert Müller; Shin Ishii (NIPS, 2007)

Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation. - Masashi Sugiyama; Shinichi Nakajima; Hisashi Kashima; Paul von Bünau; Motoaki Kawanabe (NIPS, 2007)

Joint low-rank approximation for extracting non-Gaussian subspaces. - Motoaki Kawanabe; Fabian J. Theis (Signal Process., 2007)

A semiparametric statistical approach to model-free policy evaluation. - Tsuyoshi Ueno; Motoaki Kawanabe; Takeshi Mori; Shin-ichi Maeda; Shin Ishii (ICML, 2008)

Approximating the Best Linear Unbiased Estimator of Non-Gaussian Signals with Gaussian Noise. - Masashi Sugiyama; Motoaki Kawanabe; Gilles Blanchard; Klaus-Robert Müller (IEICE Trans. Inf. Syst., 2008)

Optimizing Spatial filters for Robust EEG Single-Trial Analysis. - Benjamin Blankertz; Ryota Tomioka; Steven Lemm; Motoaki Kawanabe; Klaus-Robert Müller (IEEE Signal Process. Mag., 2008)

Efficient Classification of Images with Taxonomies. - Alexander Binder; Motoaki Kawanabe; Ulf Brefeld (ACCV (3), 2009)

A procedure of adaptive kernel combination with kernel-target alignment for object classification. - Motoaki Kawanabe; Shinichi Nakajima; Alexander Binder (CIVR, 2009)

Enhancing Recognition of Visual Concepts with Primitive Color Histograms via Non-sparse Multiple Kernel Learning. - Alexander Binder; Motoaki Kawanabe (CLEF (2), 2009)

Fraunhofer FIRST's Submission to ImageCLEF2009 Photo Annotation Task: Non-sparse Multiple Kernel Learning. - Alexander Binder; Motoaki Kawanabe (CLEF (Working Notes), 2009)

Learning invariances with Stationary Subspace Analysis. - Frank C. Meinecke; Paul von Bünau; Motoaki Kawanabe; Klaus-Robert Müller (ICCV Workshops, 2009)

A Maxmin Approach to Optimize Spatial Filters for EEG Single-Trial Classification. - Motoaki Kawanabe; Carmen Vidaurre; Benjamin Blankertz; Klaus-Robert Müller (IWANN (1), 2009)

Optimal Online Learning Procedures for Model-Free Policy Evaluation. - Tsuyoshi Ueno; Shin-ichi Maeda; Motoaki Kawanabe; Shin Ishii (ECML/PKDD (2), 2009)

A Hybrid Supervised-Unsupervised Vocabulary Generation Algorithm for Visual Concept Recognition. - Alexander Binder; Wojciech Wojcikiewicz; Christina Müller; Motoaki Kawanabe (ACCV (3), 2010)

Shrinking large visual vocabularies using multi-label agglomerative information bottleneck. - Wojciech Wojcikiewicz; Alexander Binder; Motoaki Kawanabe (ICIP, 2010)

Enhancing Image Classification with Class-wise Clustered Vocabularies. - Wojciech Wojcikiewicz; Alexander Binder; Motoaki Kawanabe (ICPR, 2010)

Direct Density Ratio Estimation with Dimensionality Reduction. - Masashi Sugiyama; Satoshi Hara 001; Paul von Bünau; Taiji Suzuki; Takafumi Kanamori; Motoaki Kawanabe (SDM, 2010)

How to Explain Individual Classification Decisions. - David Baehrens; Timon Schroeter; Stefan Harmeling; Motoaki Kawanabe; Katja Hansen; Klaus-Robert Müller (J. Mach. Learn. Res., 2010)

Dimensionality reduction for density ratio estimation in high-dimensional spaces. - Masashi Sugiyama; Motoaki Kawanabe; Pui Ling Chui (Neural Networks, 2010)

Modeling Sparse Connectivity Between Underlying Brain Sources for EEG/MEG. - Stefan Haufe; Ryota Tomioka; Guido Nolte; Klaus-Robert Müller; Motoaki Kawanabe (IEEE Trans. Biomed. Eng., 2010)

Multi-task Learning via Non-sparse Multiple Kernel Learning. - Wojciech Samek; Alexander Binder; Motoaki Kawanabe (CAIP (1), 2011)

The Joint Submission of the TU Berlin and Fraunhofer FIRST (TUBFI) to the ImageCLEF2011 Photo Annotation Task. - Alexander Binder; Wojciech Samek; Marius Kloft; Christina Müller; Klaus-Robert Müller; Motoaki Kawanabe (CLEF (Notebook Papers/Labs/Workshop), 2011)

Modelling Non-stationarities in EEG Data with Robust Principal Component Analysis. - Javier Pascual; Motoaki Kawanabe; Carmen Vidaurre (HAIS (2), 2011)

Improving Classification Performance of BCIs by Using Stationary Common Spatial Patterns and Unsupervised Bias Adaptation. - Wojciech Wojcikiewicz; Carmen Vidaurre; Motoaki Kawanabe (HAIS (2), 2011)

An Information Geometrical View of Stationary Subspace Analysis. - Motoaki Kawanabe; Wojciech Samek; Paul von Bünau; Frank C. Meinecke (ICANN (2), 2011)

Stationary Common Spatial Patterns: Towards robust classification of non-stationary EEG signals. - Wojciech Wojcikiewicz; Carmen Vidaurre; Motoaki Kawanabe (ICASSP, 2011)

Multi-modal visual concept classification of images via Markov random walk over tags. - Motoaki Kawanabe; Alexander Binder; Christina Müller; Wojciech Wojcikiewicz (WACV, 2011)

Insights from Classifying Visual Concepts with Multiple Kernel Learning - Alexander Binder; Shinichi Nakajima; Marius Kloft; Christina Müller; Wojciech Samek; Ulf Brefeld; Klaus-Robert Müller; Motoaki Kawanabe (CoRR, 2011)

Generalized TD Learning. - Tsuyoshi Ueno; Shin-ichi Maeda; Motoaki Kawanabe; Shin Ishii (J. Mach. Learn. Res., 2011)

Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace search. - Masashi Sugiyama; Makoto Yamada; Paul von Bünau; Taiji Suzuki; Takafumi Kanamori; Motoaki Kawanabe (Neural Networks, 2011)

Toward Unsupervised Adaptation of LDA for Brain-Computer Interfaces. - Carmen Vidaurre; Motoaki Kawanabe; Paul von Bünau; Benjamin Blankertz; Klaus-Robert Müller (IEEE Trans. Biomed. Eng., 2011)

Uniqueness of Non-Gaussianity-Based Dimension Reduction. - Fabian J. Theis; Motoaki Kawanabe; Klaus-Robert Müller (IEEE Trans. Signal Process., 2011)

Machine Learning in Non-Stationary Environments - Introduction to Covariate Shift Adaptation. - Masashi Sugiyama; Motoaki Kawanabe (MIT Press, 2012)

Brain-computer interfacing in discriminative and stationary subspaces. - Wojciech Samek; Klaus-Robert Müller; Motoaki Kawanabe; Carmen Vidaurre (EMBC, 2012)

On Taxonomies for Multi-class Image Categorization. - Alexander Binder; Klaus-Robert Müller; Motoaki Kawanabe (Int. J. Comput. Vis., 2012)

A waypoint-based framework in brain-controlled smart home environments: Brain interfaces, domotics, and robotics integration. - Atsunori Kanemura; Yoichi Morales Saiki; Motoaki Kawanabe; Hiroshi Morioka; Nagasrikanth Kallakuri; Tetsushi Ikeda; Takahiro Miyashita; Norihiro Hagita; Shin Ishii (IROS, 2013)

Robust Spatial Filtering with Beta Divergence. - Wojciech Samek; Duncan A. J. Blythe; Klaus-Robert Müller; Motoaki Kawanabe (NIPS, 2013)

Enhanced representation and multi-task learning for image annotation. - Alexander Binder; Wojciech Samek; Klaus-Robert Müller; Motoaki Kawanabe (Comput. Vis. Image Underst., 2013)

Robust feature construction against non-stationarity for EEG brain-machine interface. - Motoaki Kawanabe (BCI, 2014)

Robust common spatial patterns by minimum divergence covariance estimator. - Wojciech Samek; Motoaki Kawanabe (ICASSP, 2014)

Dynamic connectivity factorization: Interpretable decompositions of non-stationarity. - Aapo Hyvärinen; Junichiro Hirayama; Motoaki Kawanabe (PRNI, 2014)

Robust Common Spatial Filters with a Maxmin Approach. - Motoaki Kawanabe; Wojciech Samek; Klaus-Robert Müller; Carmen Vidaurre (Neural Comput., 2014)

Decoding spatial attention by using cortical currents estimated from electroencephalography with near-infrared spectroscopy prior information. - Hiroshi Morioka; Atsunori Kanemura; Satoshi Morimoto; Taku Yoshioka; Shigeyuki Oba; Motoaki Kawanabe; Shin Ishii (NeuroImage, 2014)

Machine Learning for Visual Concept Recognition and Ranking for Images. - Alexander Binder; Wojciech Samek; Klaus-Robert Müller; Motoaki Kawanabe (Towards the Internet of Services, 2014)

Brain-machine interfaces for assistive smart homes: A feasibility study with wearable near-infrared spectroscopy. - Takeshi Ogawa; Junichiro Hirayama; Pankaj Gupta; Hiroki Moriya; Shumpei Yamaguchi; Akihiro Ishikawa; Yoshihiro Inoue; Motoaki Kawanabe; Shin Ishii (EMBC, 2015)

On-line Hand Gesture Recognition to Control Digital TV using a Boosted and Randomized Clustering Forest. - Ken Yano; Takeshi Ogawa; Motoaki Kawanabe; Takayuki Suyama (VISAPP (2), 2015)

Learning a common dictionary for subject-transfer decoding with resting calibration. - Hiroshi Morioka; Atsunori Kanemura; Junichiro Hirayama; Manabu Shikauchi; Takeshi Ogawa; Shigeyuki Ikeda; Motoaki Kawanabe; Shin Ishii (NeuroImage, 2015)

Orthogonal Connectivity Factorization: Interpretable Decomposition of Variability in Correlation Matrices. - Aapo Hyvärinen; Junichiro Hirayama; Vesa Kiviniemi; Motoaki Kawanabe (Neural Comput., 2016)

Decoding emotional valence from electroencephalographic rhythmic activity. - Hande Çelikkanat; Hiroki Moriya; Takeshi Ogawa; Jukka-Pekka Kauppi; Motoaki Kawanabe; Aapo Hyvärinen (EMBC, 2017)

Extracting key frames from first-person videos in the common space of multiple sensors. - Yujie Li 002; Atsunori Kanemura; Hideki Asoh; Taiki Miyanishi; Motoaki Kawanabe (ICIP, 2017)

Key frame extraction from first-person video with multi-sensor integration. - Yujie Li 002; Atsunori Kanemura; Hideki Asoh; Taiki Miyanishi; Motoaki Kawanabe (ICME, 2017)

SPLICE: Fully Tractable Hierarchical Extension of ICA with Pooling. - Junichiro Hirayama; Aapo Hyvärinen; Motoaki Kawanabe (ICML, 2017)

Generating an Event Timeline About Daily Activities From a Semantic Concept Stream. - Taiki Miyanishi; Junichiro Hirayama; Takuya Maekawa; Motoaki Kawanabe (AAAI, 2018)

Supervised saliency maps for first-person videos based on sparse coding. - Yujie Li 002; Atsunori Kanemura; Hideki Asoh; Taiki Miyanishi; Motoaki Kawanabe (APSIPA, 2018)

A Sparse Coding Framework for Gaze Prediction in Egocentric Video. - Yujie Li 002; Atsunori Kanemura; Hideki Asoh; Taiki Miyanishi; Motoaki Kawanabe (ICASSP, 2018)

Answering Mixed Type Questions about Daily Living Episodes. - Taiki Miyanishi; Junichiro Hirayama; Atsunori Kanemura; Motoaki Kawanabe (IJCAI, 2018)

Data-Driven, 3-D Classification of Person-Object Relationships and Semantic Context Clustering for Robotics and AI Applications. - Marc Patrick H. Zapf; Astha Gupta; Luis Yoichi Morales Saiki; Motoaki Kawanabe (RO-MAN, 2018)

Pedestrian Density Prediction for Efficient Mobile Robot Exploration. - Marc Patrick H. Zapf; Motoaki Kawanabe; Luis Yoichi Morales Saiki (IROS, 2019)

Two-Stream Spatiotemporal Compositional Attention Network for VideoQA. - Taiki Miyanishi; Takuya Maekawa; Motoaki Kawanabe (BMVC, 2020)

Multi-Sensor Integration for Key-Frame Extraction From First-Person Videos. - Yujie Li 002; Atsunori Kanemura; Hideki Asoh; Taiki Miyanishi; Motoaki Kawanabe (IEEE Access, 2020)

On the interpretation of linear Riemannian tangent space model parameters in M/EEG. - Reinmar J. Kobler; Junichiro Hirayama; Lea Hehenberger; Catarina Lopes Dias; Gernot R. Müller-Putz; Motoaki Kawanabe (EMBC, 2021)

Watch, Listen, and Answer: Open-Ended VideoQA with Modulated Multi-Stream 3D ConvNets. - Taiki Miyanishi; Motoaki Kawanabe (EUSIPCO, 2021)

Sim2RealQA: Using Life Simulation to Solve Question Answering Real-World Events. - Taiki Miyanishi; Takuya Maekawa; Motoaki Kawanabe (IEEE Access, 2021)

ScanQA: 3D Question Answering for Spatial Scene Understanding. - Daichi Azuma; Taiki Miyanishi; Shuhei Kurita; Motoaki Kawanabe (CVPR, 2022)

Controlling The Fréchet Variance Improves Batch Normalization on the Symmetric Positive Definite Manifold. - Reinmar J. Kobler; Jun-ichiro Hirayama; Motoaki Kawanabe (ICASSP, 2022)

SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG. - Reinmar J. Kobler; Jun-ichiro Hirayama; Qibin Zhao; Motoaki Kawanabe (NeurIPS, 2022)

Asymmetric directed functional connectivity within the frontoparietal motor network during motor imagery and execution. - Takeshi Ogawa; Hideki Shimobayashi; Jun-Ichiro Hirayama; Motoaki Kawanabe (NeuroImage, 2022)

Event-related microstate dynamics represents working memory performance. - Ryuta Tamano; Takeshi Ogawa; Arisa Katagiri; Chang Cai; Tomohisa Asai; Motoaki Kawanabe (NeuroImage, 2022)

CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud Data. - Taiki Miyanishi; Fumiya Kitamori; Shuhei Kurita; Jungdae Lee; Motoaki Kawanabe; Nakamasa Inoue (NeurIPS, 2023)

Cross3DVG: Baseline and Dataset for Cross-Dataset 3D Visual Grounding on Different RGB-D Scans. - Taiki Miyanishi; Daichi Azuma; Shuhei Kurita; Motoaki Kawanabe (CoRR, 2023)

Cross3DVG: Cross-Dataset 3D Visual Grounding on Different RGB-D Scans. - Taiki Miyanishi; Daichi Azuma; Shuhei Kurita; Motoaki Kawanabe (3DV, 2024)

Geometric Deep Learning to Enhance Imbalanced Domain Adaptation in EEG. - Shanglin Li; Motoaki Kawanabe; Reinmar J. Kobler (ESANN, 2024)

Deep Geodesic Canonical Correlation Analysis for Covariance-Based Neuroimaging Data. - Ce Ju; Reinmar J. Kobler; Liyao Tang; Cuntai Guan; Motoaki Kawanabe (ICLR, 2024)

Answerability Fields: Answerable Location Estimation via Diffusion Models. - Daichi Azuma; Taiki Miyanishi; Shuhei Kurita; Koya Sakamoto; Motoaki Kawanabe (IROS, 2024)

Map-based Modular Approach for Zero-shot Embodied Question Answering. - Koya Sakamoto; Daichi Azuma; Taiki Miyanishi; Shuhei Kurita; Motoaki Kawanabe (IROS, 2024)

SPDIM: Source-Free Unsupervised Conditional and Label Shift Adaptation in EEG. - Shanglin Li; Motoaki Kawanabe; Reinmar J. Kobler (ICLR, 2025)

SPD Learning for Covariance-Based Neuroimaging Analysis: Perspectives, Methods, and Challenges. - Ce Ju; Reinmar J. Kobler; Antoine Collas; Motoaki Kawanabe; Cuntai Guan; Bertrand Thirion (CoRR, 2025)