Yoshikazu Washizawa

According to our database, Yoshikazu Washizawa authored at least 44 papers between 2004 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Steady-State Visual Evoked Potential Classification Using Complex Valued Convolutional Neural Networks.

Akira Ikeda, Yoshikazu Washizawa

Sensors, 2021

2020

EEG Analysis of Nursing Touch for Frustrating Work.

Takashi Muramatsu, Yoshikazu Washizawa, Kazuko Hiyoshi

Proceedings of the 2nd IEEE Global Conference on Life Sciences and Technologies, 2020

2019

Spontaneous EEG Classification Using Complex Valued Neural Network.

Akira Ikeda, Yoshikazu Washizawa

Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018

Restoration of dry electrode EEG using deep convolutional neural network.

Yuki Kojoma, Yoshikazu Washizawa

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

Discriminative sparse representation learning using multiclass hinge loss.

Ryota Kamiya, Yoshikazu Washizawa

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

2016

Learning Subspace Classification Using Subset Approximated Kernel Principal Component Analysis.

Yoshikazu Washizawa

IEICE Trans. Inf. Syst., 2016

Discriminative Metric Learning on Extended Grassmann Manifold for Classification of Brain Signals.

Yoshikazu Washizawa

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016

An N100-P300 Spelling Brain-Computer Interface with Detection of Intentional Control.

Hikaru Sato, Yoshikazu Washizawa

Comput., 2016

Neural decoding of code modulated visual evoked potentials by spatio-temporal inverse filtering for brain computer interfaces.

Jun'ichi Sato, Yoshikazu Washizawa

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015

Sign language recognition with microsoft Kinect's depth and colour sensors.

Panupon Usachokcharoen, Yoshikazu Washizawa, Kitsuchart Pasupa

Proceedings of the 2015 IEEE International Conference on Signal and Image Processing Applications, 2015

Metrics of grassmannian representation in reproducing kernel hilbert space for variational pattern analysis.

Yoshikazu Washizawa

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Reliability-based automatic repeat request for short code modulation visual evoked potentials in brain computer interfaces.

Jun'ichi Sato, Yoshikazu Washizawa

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Channel selection for brain signal classification by penalized automatic relevance determination.

Reo Togashi, Yoshikazu Washizawa

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2015

2014

Mahalanobis Distance on Extended Grassmann Manifolds for Variational Pattern Analysis.

Yoshikazu Washizawa, Seiji Hotta

IEEE Trans. Neural Networks Learn. Syst., 2014

Multiple Kernel Learning for Quadratically Constrained MAP Classification.

Yoshikazu Washizawa, Tatsuya Yokota, Yukihiko Yamashita

IEICE Trans. Inf. Syst., 2014

Bayesian delay time estimation of brainwaves using N100 response in tactile-force Brain-Computer Interface.

Reo Togashi, Yoshikazu Washizawa, Shota Kono, Tomasz M. Rutkowski

Proceedings of the 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS), 2014

A novel EEG-based spelling system using N100 and P300.

Hikaru Sato, Yoshikazu Washizawa

Proceedings of the e-Health - For Continuity of Care - Proceedings of MIE2014, the 25th European Medical Informatics Conference, Istanbul, Turkey, August 31, 2014

Bayesian delay time estimation of brain signal using N100 response for auditory BCI.

Reo Togashi, Yoshikazu Washizawa

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2014

2013

On investigating efficient methodology for Environmental Sound Recognition.

Cruz Alfredo Ruiz-Martinez, Muhammad Tahir Akhtar, Yoshikazu Washizawa, Enrique Escamilla Hernández

Proceedings of the International Symposium on Intelligent Signal Processing and Communication Systems, 2013

Feature extraction of P300 signal using Bayesian delay time estimation.

Reo Togashi, Yoshikazu Washizawa

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2013

Single trial BCI classification accuracy improvement for the novel virtual sound movement-based spatial auditory paradigm.

Yohann Lelievre, Yoshikazu Washizawa, Tomasz M. Rutkowski

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2013

2012

Adaptive Subset Kernel Principal Component Analysis for Time-Varying Patterns.

Yoshikazu Washizawa

IEEE Trans. Neural Networks Learn. Syst., 2012

Mahalanobis distance on Grassmann manifold and its application to brain signal processing.

Yoshikazu Washizawa, Seiji Hotta

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Adaptive kernel principal components tracking.

Toshihisa Tanaka, Yoshikazu Washizawa, Anthony Kuh

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Toward multi-command auditory brain computer interfacing using speech stimuli.

Shuho Yoshimoto, Yoshikazu Washizawa, Toshihisa Tanaka, Hiroshi Higashi, Jun Tamura

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2012

2011

EEG auditory steady state responses classification for the novel BCI.

Hiroshi Higashi, Tomasz M. Rutkowski, Yoshikazu Washizawa, Andrzej Cichocki, Toshihisa Tanaka

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010

Kernel Wiener Filter and Its Application to Pattern Recognition.

H. Yoshino, Chen Dong, Yoshikazu Washizawa, Yukihiko Yamashita

IEEE Trans. Neural Networks, 2010

Blind extraction of global signal from multi-channel noisy observations.

Yoshikazu Washizawa, Yukihiko Yamashita, Toshihisa Tanaka, Andrzej Cichocki

IEEE Trans. Neural Networks, 2010

Feature extraction using constrained approximation and suppression.

Yoshikazu Washizawa

IEEE Trans. Neural Networks, 2010

Tensor Based Simultaneous Feature Extraction and Sample Weighting for EEG Classification.

Yoshikazu Washizawa, Hiroshi Higashi, Tomasz M. Rutkowski, Toshihisa Tanaka, Andrzej Cichocki

Proceedings of the Neural Information Processing. Models and Applications, 2010

Centered Subset Kernel PCA for Denoising.

Yoshikazu Washizawa, Masayuki Tanaka

Proceedings of the Computer Vision - ACCV 2010 Workshops, 2010

Trace Norm Regularization and Application to Tensor Based Feature Extraction.

Yoshikazu Washizawa

Proceedings of the Computer Vision - ACCV 2010 Workshops, 2010

2009

Blind Source Extraction using Spatio-temporal Inverse Filter.

Yoshikazu Washizawa, Yukihiko Yamashita, Andrzej Cichocki

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2009), 2009

Pattern Classification on Local Metric Structure.

Yoshikazu Washizawa

Proceedings of the 10th International Conference on Document Analysis and Recognition, 2009

Subset kernel PCA for pattern recognition.

Yoshikazu Washizawa

Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

2008

Sparse blind identification and separation by using adaptive K-orthodrome clustering.

Yoshikazu Washizawa, Andrzej Cichocki

Neurocomputing, 2008

Noninvasive BCIs: Multiway Signal-Processing Array Decompositions.

Andrzej Cichocki, Yoshikazu Washizawa, Tomasz M. Rutkowski, Hovagim Bakardjian, Anh Huy Phan, Seungjin Choi, Hyekyoung Lee, Qibin Zhao, Liqing Zhang, Yuanqing Li

Computer, 2008

2007

Simultaneous Pattern Classification and Multidomain Association Using Self-Structuring Kernel Memory Networks.

Tetsuya Hoya, Yoshikazu Washizawa

IEEE Trans. Neural Networks, 2007

2006

Kernel Projection Classifiers with Suppressing Features of Other Classes.

Yoshikazu Washizawa, Yukihiko Yamashita

Neural Comput., 2006

A Flexible Method for Envelope Estimation in Empirical Mode Decomposition.

Yoshikazu Washizawa, Toshihisa Tanaka, Danilo P. Mandic, Andrzej Cichocki

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Non-linear Wiener filter in reproducing kernel Hilbert space.

Yoshikazu Washizawa, Yukihiko Yamashita

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

On-Line K-PLANE Clustering Learning Algorithm for Sparse Comopnent Analysis.

Yoshikazu Washizawa, Andrzej Cichocki

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2004

Kernel Relative Principal Component Analysis for Pattern Recognition.

Yoshikazu Washizawa, Kenji Hikida, Toshihisa Tanaka, Yukihiko Yamashita

Proceedings of the Structural, 2004

Kernel Sample Space Projection Classifier for Pattern Recognition.

Yoshikazu Washizawa, Yukihiko Yamashita

Proceedings of the 17th International Conference on Pattern Recognition, 2004