Motoaki Kawanabe

According to our database1, Motoaki Kawanabe authored at least 83 papers between 1994 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Multi-Sensor Integration for Key-Frame Extraction From First-Person Videos.
IEEE Access, 2020

Two-Stream Spatiotemporal Compositional Attention Network for VideoQA.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019
Pedestrian Density Prediction for Efficient Mobile Robot Exploration.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018
Data-Driven, 3-D Classification of Person-Object Relationships and Semantic Context Clustering for Robotics and AI Applications.
Proceedings of the 27th IEEE International Symposium on Robot and Human Interactive Communication, 2018

Answering Mixed Type Questions about Daily Living Episodes.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

A Sparse Coding Framework for Gaze Prediction in Egocentric Video.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Supervised saliency maps for first-person videos based on sparse coding.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

Generating an Event Timeline About Daily Activities From a Semantic Concept Stream.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
SPLICE: Fully Tractable Hierarchical Extension of ICA with Pooling.
Proceedings of the 34th International Conference on Machine Learning, 2017

Key frame extraction from first-person video with multi-sensor integration.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Extracting key frames from first-person videos in the common space of multiple sensors.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Decoding emotional valence from electroencephalographic rhythmic activity.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
Orthogonal Connectivity Factorization: Interpretable Decomposition of Variability in Correlation Matrices.
Neural Comput., 2016

2015
Learning a common dictionary for subject-transfer decoding with resting calibration.
NeuroImage, 2015

On-line Hand Gesture Recognition to Control Digital TV using a Boosted and Randomized Clustering Forest.
Proceedings of the VISAPP 2015, 2015

Brain-machine interfaces for assistive smart homes: A feasibility study with wearable near-infrared spectroscopy.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Machine Learning for Visual Concept Recognition and Ranking for Images.
Proceedings of the Towards the Internet of Services: The THESEUS Research Program, 2014

Decoding spatial attention by using cortical currents estimated from electroencephalography with near-infrared spectroscopy prior information.
NeuroImage, 2014

Robust Common Spatial Filters with a Maxmin Approach.
Neural Comput., 2014

Dynamic connectivity factorization: Interpretable decompositions of non-stationarity.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

Robust common spatial patterns by minimum divergence covariance estimator.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Enhanced representation and multi-task learning for image annotation.
Comput. Vis. Image Underst., 2013

Robust Spatial Filtering with Beta Divergence.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

A waypoint-based framework in brain-controlled smart home environments: Brain interfaces, domotics, and robotics integration.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

2012
On Taxonomies for Multi-class Image Categorization.
Int. J. Comput. Vis., 2012

Brain-computer interfacing in discriminative and stationary subspaces.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Machine Learning in Non-Stationary Environments - Introduction to Covariate Shift Adaptation.
Adaptive computation and machine learning, MIT Press, ISBN: 978-0-262-01709-1, 2012

2011
Uniqueness of Non-Gaussianity-Based Dimension Reduction.
IEEE Trans. Signal Process., 2011

Toward Unsupervised Adaptation of LDA for Brain-Computer Interfaces.
IEEE Trans. Biomed. Eng., 2011

Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace search.
Neural Networks, 2011

Generalized TD Learning.
J. Mach. Learn. Res., 2011

Insights from Classifying Visual Concepts with Multiple Kernel Learning
CoRR, 2011

Multi-modal visual concept classification of images via Markov random walk over tags.
Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2011), 2011

Stationary Common Spatial Patterns: Towards robust classification of non-stationary EEG signals.
Proceedings of the IEEE International Conference on Acoustics, 2011

An Information Geometrical View of Stationary Subspace Analysis.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Improving Classification Performance of BCIs by Using Stationary Common Spatial Patterns and Unsupervised Bias Adaptation.
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

Modelling Non-stationarities in EEG Data with Robust Principal Component Analysis.
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

The Joint Submission of the TU Berlin and Fraunhofer FIRST (TUBFI) to the ImageCLEF2011 Photo Annotation Task.
Proceedings of the CLEF 2011 Labs and Workshop, 2011

Multi-task Learning via Non-sparse Multiple Kernel Learning.
Proceedings of the Computer Analysis of Images and Patterns, 2011

2010
Modeling Sparse Connectivity Between Underlying Brain Sources for EEG/MEG.
IEEE Trans. Biomed. Eng., 2010

Dimensionality reduction for density ratio estimation in high-dimensional spaces.
Neural Networks, 2010

How to Explain Individual Classification Decisions.
J. Mach. Learn. Res., 2010

Direct Density Ratio Estimation with Dimensionality Reduction.
Proceedings of the SIAM International Conference on Data Mining, 2010

Enhancing Image Classification with Class-wise Clustered Vocabularies.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Shrinking large visual vocabularies using multi-label agglomerative information bottleneck.
Proceedings of the International Conference on Image Processing, 2010

A Hybrid Supervised-Unsupervised Vocabulary Generation Algorithm for Visual Concept Recognition.
Proceedings of the Computer Vision - ACCV 2010, 2010

2009
Optimal Online Learning Procedures for Model-Free Policy Evaluation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

A Maxmin Approach to Optimize Spatial Filters for EEG Single-Trial Classification.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Learning invariances with Stationary Subspace Analysis.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

Fraunhofer FIRST's Submission to ImageCLEF2009 Photo Annotation Task: Non-sparse Multiple Kernel Learning.
Proceedings of the Working Notes for CLEF 2009 Workshop co-located with the 13th European Conference on Digital Libraries (ECDL 2009) , Corfù, Greece, September 30, 2009

Enhancing Recognition of Visual Concepts with Primitive Color Histograms via Non-sparse Multiple Kernel Learning.
Proceedings of the Multilingual Information Access Evaluation II. Multimedia Experiments, 2009

A procedure of adaptive kernel combination with kernel-target alignment for object classification.
Proceedings of the 8th ACM International Conference on Image and Video Retrieval, 2009

Efficient Classification of Images with Taxonomies.
Proceedings of the Computer Vision, 2009

2008
Approximating the Best Linear Unbiased Estimator of Non-Gaussian Signals with Gaussian Noise.
IEICE Trans. Inf. Syst., 2008

A semiparametric statistical approach to model-free policy evaluation.
Proceedings of the Machine Learning, 2008

2007
Joint low-rank approximation for extracting non-Gaussian subspaces.
Signal Process., 2007

Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Heterogeneous Component Analysis.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Asymptotic Bayesian generalization error when training and test distributions are different.
Proceedings of the Machine Learning, 2007

Colored Subspace Analysis.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

2006
In Search of Non-Gaussian Components of a High-Dimensional Distribution.
J. Mach. Learn. Res., 2006

Obtaining the Best Linear Unbiased Estimator of Noisy Signals by Non-Gaussian Component Analysis.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Uniqueness of Non-Gaussian Subspace Analysis.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

Estimating Non-Gaussian Subspaces by Characteristic Functions.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

A Novel Dimension Reduction Procedure for Searching Non-Gaussian Subspaces.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

2005
Estimating Functions for Blind Separation When Sources Have Variance Dependencies.
J. Mach. Learn. Res., 2005

Non-Gaussian Component Analysis: a Semi-parametric Framework for Linear Dimension Reduction.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Linear Dimension Reduction Based on the Fourth-Order Cumulant Tensor.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

2004
Asymptotic Properties of the Fisher Kernel.
Neural Comput., 2004

Trading Variance Reduction with Unbiasedness: The Regularized Subspace Information Criterion for Robust Model Selection in Kernel Regression.
Neural Comput., 2004

Regularizing generalization error estimators: a novel approach to robust model selection.
Proceedings of the ESANN 2004, 2004

2003
Optimal Cluster Preserving Embedding of Nonmetric Proximity Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2003

Kernel-Based Nonlinear Blind Source Separation.
Neural Comput., 2003

Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation.
J. Mach. Learn. Res., 2003

2002
A resampling approach to estimate the stability of one-dimensional or multidimensional independent components.
IEEE Trans. Biomed. Eng., 2002

On-line learning in changing environments with applications in supervised and unsupervised learning.
Neural Networks, 2002

A New Discriminative Kernel from Probabilistic Models.
Neural Comput., 2002

Clustering with the Fisher Score.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

The Leave-One-Out Kernel.
Proceedings of the Artificial Neural Networks, 2002

2001
Estimating the Reliability of ICA Projections.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Kernel Feature Spaces and Nonlinear Blind Souce Separation.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

1994
Estimation of Network Parameters in Semiparametric Stochastic Perceptron.
Neural Comput., 1994


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