Yoshikazu Washizawa

Publication Activity (10 Years)

Years Active: 2004-2021
Publications (10 Years): 9

Top Topics

Evoked Potentials

Grassmann Manifold

Kernel Principal Component Analysis

Brain Computer Interface

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEICE Trans. Inf. Syst.

Publications

Akira Ikeda, Yoshikazu Washizawa
Steady-State Visual Evoked Potential Classification Using Complex Valued Convolutional Neural Networks. Sensors 21 (16) (2021)
Takashi Muramatsu, Yoshikazu Washizawa, Kazuko Hiyoshi
EEG Analysis of Nursing Touch for Frustrating Work. LifeTech (2020)
Akira Ikeda, Yoshikazu Washizawa
Spontaneous EEG Classification Using Complex Valued Neural Network. ICONIP (4) (2019)
Ryota Kamiya, Yoshikazu Washizawa
Discriminative sparse representation learning using multiclass hinge loss. APSIPA (2018)
Yuki Kojoma, Yoshikazu Washizawa
Restoration of dry electrode EEG using deep convolutional neural network. APSIPA (2018)
Jun'ichi Sato, Yoshikazu Washizawa
Neural decoding of code modulated visual evoked potentials by spatio-temporal inverse filtering for brain computer interfaces. EMBC (2016)
Yoshikazu Washizawa
Learning Subspace Classification Using Subset Approximated Kernel Principal Component Analysis. IEICE Trans. Inf. Syst. (5) (2016)
Hikaru Sato, Yoshikazu Washizawa
An N100-P300 Spelling Brain-Computer Interface with Detection of Intentional Control. Comput. 5 (4) (2016)
Yoshikazu Washizawa
Discriminative Metric Learning on Extended Grassmann Manifold for Classification of Brain Signals. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (4) (2016)
Panupon Usachokcharoen, Yoshikazu Washizawa, Kitsuchart Pasupa
Sign language recognition with microsoft Kinect's depth and colour sensors. ICSIPA (2015)
Reo Togashi, Yoshikazu Washizawa
Channel selection for brain signal classification by penalized automatic relevance determination. APSIPA (2015)
Jun'ichi Sato, Yoshikazu Washizawa
Reliability-based automatic repeat request for short code modulation visual evoked potentials in brain computer interfaces. EMBC (2015)
Yoshikazu Washizawa
Metrics of grassmannian representation in reproducing kernel hilbert space for variational pattern analysis. ICASSP (2015)
Reo Togashi, Yoshikazu Washizawa, Shota Kono, Tomasz M. Rutkowski
Bayesian delay time estimation of brainwaves using N100 response in tactile-force Brain-Computer Interface. SCIS&ISIS (2014)
Yoshikazu Washizawa, Tatsuya Yokota, Yukihiko Yamashita
Multiple Kernel Learning for Quadratically Constrained MAP Classification. IEICE Trans. Inf. Syst. (5) (2014)
Reo Togashi, Yoshikazu Washizawa
Bayesian delay time estimation of brain signal using N100 response for auditory BCI. APSIPA (2014)
Hikaru Sato, Yoshikazu Washizawa
A novel EEG-based spelling system using N100 and P300. MIE (2014)
Yoshikazu Washizawa, Seiji Hotta
Mahalanobis Distance on Extended Grassmann Manifolds for Variational Pattern Analysis. IEEE Trans. Neural Networks Learn. Syst. 25 (11) (2014)
Cruz Alfredo Ruiz-Martinez, Muhammad Tahir Akhtar, Yoshikazu Washizawa, Enrique Escamilla Hernández
On investigating efficient methodology for Environmental Sound Recognition. ISPACS (2013)
Yohann Lelievre, Yoshikazu Washizawa, Tomasz M. Rutkowski
Single trial BCI classification accuracy improvement for the novel virtual sound movement-based spatial auditory paradigm. APSIPA (2013)
Reo Togashi, Yoshikazu Washizawa
Feature extraction of P300 signal using Bayesian delay time estimation. APSIPA (2013)
Toshihisa Tanaka, Yoshikazu Washizawa, Anthony Kuh
Adaptive kernel principal components tracking. ICASSP (2012)
Yoshikazu Washizawa, Seiji Hotta
Mahalanobis distance on Grassmann manifold and its application to brain signal processing. MLSP (2012)
Shuho Yoshimoto, Yoshikazu Washizawa, Toshihisa Tanaka, Hiroshi Higashi, Jun Tamura
Toward multi-command auditory brain computer interfacing using speech stimuli. APSIPA (2012)
Yoshikazu Washizawa
Adaptive Subset Kernel Principal Component Analysis for Time-Varying Patterns. IEEE Trans. Neural Networks Learn. Syst. 23 (12) (2012)
Hiroshi Higashi, Tomasz M. Rutkowski, Yoshikazu Washizawa, Andrzej Cichocki, Toshihisa Tanaka
EEG auditory steady state responses classification for the novel BCI. EMBC (2011)
Yoshikazu Washizawa
Trace Norm Regularization and Application to Tensor Based Feature Extraction. ACCV Workshops (2) (2010)
Yoshikazu Washizawa, Hiroshi Higashi, Tomasz M. Rutkowski, Toshihisa Tanaka, Andrzej Cichocki
Tensor Based Simultaneous Feature Extraction and Sample Weighting for EEG Classification. ICONIP (2) (2010)
H. Yoshino, Chen Dong, Yoshikazu Washizawa, Yukihiko Yamashita
Kernel Wiener Filter and Its Application to Pattern Recognition. IEEE Trans. Neural Networks 21 (11) (2010)
Yoshikazu Washizawa
Feature extraction using constrained approximation and suppression. IEEE Trans. Neural Networks 21 (2) (2010)
Yoshikazu Washizawa, Yukihiko Yamashita, Toshihisa Tanaka, Andrzej Cichocki
Blind extraction of global signal from multi-channel noisy observations. IEEE Trans. Neural Networks 21 (9) (2010)
Yoshikazu Washizawa, Masayuki Tanaka
Centered Subset Kernel PCA for Denoising. ACCV Workshops (2) (2010)
Yoshikazu Washizawa
Pattern Classification on Local Metric Structure. ICDAR (2009)
Yoshikazu Washizawa
Subset kernel PCA for pattern recognition. ICCV Workshops (2009)
Yoshikazu Washizawa, Yukihiko Yamashita, Andrzej Cichocki
Blind Source Extraction using Spatio-temporal Inverse Filter. ISCAS (2009)
Yoshikazu Washizawa, Andrzej Cichocki
Sparse blind identification and separation by using adaptive K-orthodrome clustering. Neurocomputing 71 (10-12) (2008)
Andrzej Cichocki, Yoshikazu Washizawa, Tomasz M. Rutkowski, Hovagim Bakardjian, Anh Huy Phan, Seungjin Choi, Hyekyoung Lee, Qibin Zhao, Liqing Zhang, Yuanqing Li
Noninvasive BCIs: Multiway Signal-Processing Array Decompositions. Computer 41 (10) (2008)
Tetsuya Hoya, Yoshikazu Washizawa
Simultaneous Pattern Classification and Multidomain Association Using Self-Structuring Kernel Memory Networks. IEEE Trans. Neural Networks 18 (3) (2007)
Yoshikazu Washizawa, Yukihiko Yamashita
Non-linear Wiener filter in reproducing kernel Hilbert space. ICPR (1) (2006)
Yoshikazu Washizawa, Toshihisa Tanaka, Danilo P. Mandic, Andrzej Cichocki
A Flexible Method for Envelope Estimation in Empirical Mode Decomposition. KES (3) (2006)
Yoshikazu Washizawa, Andrzej Cichocki
On-Line K-PLANE Clustering Learning Algorithm for Sparse Comopnent Analysis. ICASSP (5) (2006)
Yoshikazu Washizawa, Yukihiko Yamashita
Kernel Projection Classifiers with Suppressing Features of Other Classes. Neural Comput. 18 (8) (2006)
Yoshikazu Washizawa, Yukihiko Yamashita
Kernel Sample Space Projection Classifier for Pattern Recognition. ICPR (2) (2004)
Yoshikazu Washizawa, Kenji Hikida, Toshihisa Tanaka, Yukihiko Yamashita
Kernel Relative Principal Component Analysis for Pattern Recognition. SSPR/SPR (2004)