Yoshikazu WASHIZAWA

Department of Computer and Network EngineeringAssociate Professor
Cluster II (Emerging Multi-interdisciplinary Engineering)Associate Professor
  • Profile:
    -株式会社東芝及び東芝ソリューション株式会社にて文字認識システムの研究開発に従事
    -独立行政法人理化学研究所にて、脳信号処理及び機械学習の研究に従事

Degree

  • 博士(工学), 東京工業大学
  • Doctor of Engineering, Tokyo Institute of Technology

Research Keyword

  • Optimization
  • Biomedical Signal Processing
  • Statistical Signal Processing
  • Signal Processing
  • Machine Learning
  • Pattern Classification
  • 最適化
  • 生体信号処理
  • 統計信号処理
  • 信号処理
  • 機械学習
  • パターン識別

Field Of Study

  • Life sciences, Basic brain sciences
  • Informatics, Intelligent informatics
  • Informatics, Information theory

Career

  • 01 Apr. 2008 - 30 Aug. 2011
    RIKEN, Researcher
  • 01 Aug. 2005 - 31 Mar. 2008
    RIKEN, Research associate
  • 01 Apr. 2005 - 31 Jul. 2005
    Japan Society for Promotion of Science, Research Fwllowship for Young Scientists
  • 01 Oct. 2004 - 28 Feb. 2005
    TOSHIBA Solutions Corporation
  • 01 Apr. 2004 - 30 Sep. 2004
    TOSHIBA

Educational Background

  • Apr. 2005 - Mar. 2008
    Tokyo Institute of Technology, 理工学研究科, 国際開発工学専攻, Japan
  • Apr. 2002 - Mar. 2004
    Tokyo Institute of Technology, 理工学研究科, 電気電子工学専攻, Japan
  • Apr. 1998 - Mar. 2002
    Nagoya Institute of Technology, Faculty of Engineering, Dept. of Electrical & Computer Engineering, Japan
  • Mar. 1998
    愛知県立西春高校, 普通科

Member History

  • 01 Apr. 2017 - 30 Jun. 2021
    英文論文誌編集委員, 電子情報通信学会
  • 01 Jan. 2021
    Secretary, IEEE SP Society Tokyo Joint Chapter
  • 14 Jul. 2014 - 15 Jul. 2015
    英文論文誌特集号編集委員, 電子情報通信学会信号処理研究専門委員会
  • 01 Apr. 2014
    電子情報通信学会信号処理研究専門委員会, 電子情報通信学会信号処理研究専門委員会
  • 2014
    常任査読委員, 電子情報通信学会 情報・システムソサイエティ, Society
  • Mar. 2013
    APSIPA Biomedical Signal Processing and Systems Technical Committee Members, Asia Pacific Signal and Information Processing Association, Society

Award

  • 2021
    電子情報通信学会
    編集活動貢献賞

Paper

  • Evaluation of Focal Attention via EEG Cortical Tracking of Speech Across Different Languages
    Yoshinao Ichikawa; Yoshikazu Washizawa
    Last, Proc. of 48th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Jul. 2026, Peer-reviwed
    International conference proceedings, English
  • Complex CNN incorporating Hilbert transform for steady-state visual evoked potential BCI
    R. Takata; Y. Washizawa
    Last, Proc. of APSIPA Annual Summit and Conference 2024., Dec. 2024, Peer-reviwed
    International conference proceedings, English
  • Effect of Touching Care on Fear in French and Japanese Subjects
    François-Beno{^i}t Vialatte; Tsubasa Tokunaga; Yoshikazu Washizawa; Kazuko Hiyoshi
    The Fifteenth International Conference on Advanced Cognitive Technologies and Applications COGNITIVE 2023, Jun. 2023, Peer-reviwed
  • EEG Evaluation of the Effects of Touching Intervention on Frustrating Tasks
    Takashi MURAMATSU; Yoshikazu WASHIZAWA; Carl B. BECKER; Kazuko HIYOSHI
    International Journal of Affective Engineering, 21, 3, 151-157, Jul. 2022, Peer-reviwed
    Scientific journal, English
  • Steady-State Visual Evoked Potential Classification Using Complex Valued Convolutional Neural Networks
    Akira Ikeda; Yoshikazu Washizawa
    Sensors, MDPI, 21, 5309, 06 Aug. 2021, Peer-reviwed
    Scientific journal, English
  • EEG Analysis of Nursing Touch for Frustrating Work
    Takashi Muramatsu; Yoshikazu Washizawa; Kazuko Hiyoshi
    Proc. of 2020 IEEE 2nd Global Conference on Life Science and Technologies, Mar. 2020, Peer-reviwed
    International conference proceedings, English
  • Spontaneous EEG Classification Using Complex Valued Neural Network
    A. Ikeda; Y. Washizawa
    26th International Conference on Neural Information Processing of the Asia-Pacific Neural Network Society (ICONOP), 0, 2019, Peer-reviwed
    International conference proceedings, English
  • Music training is associated with magnetoencephalographic gamma- and alpha-band oscillation binding with attention and consciousness.
    Y. Urakami; Y. Washizawa
    Proc. of 8th International Congress of Pathophysiology (ICP 2018), 0, 0, 0-0, Sep. 2018, Peer-reviwed
    International conference proceedings, English
  • Ranking deep neural network for automatic music recommendation system using EEG
    H. Itoga, Y. Washizawa, and Y. Urakami, 0, 0, 0-0, Mar. 2018, Peer-reviwed
    International conference proceedings, English
  • EEG based automatic music recommendation system using ranking deep artificial neural network
    H. Itoga; Y. Washizawa; Y. Urakami
    Proc. 8th International Congress of Pathophysiology, 0, 0, 0-0, 2018
    International conference proceedings, English
  • Restoration of dry electrode EEG using deep convolutional neural network
    Y. Kojoma; Y. Washizawa
    Proc. APSIPA Annual Summit and Conference 2018, accepted, 0-0, 2018, Peer-reviwed
    International conference proceedings, English
  • Discriminative sparse representation learning using multiclass hinge loss
    R. Kamiya; Y. Washizawa
    Proc. APSIPA Annual Summit and Conference 2018, accepted, 0-0, 2018, Peer-reviwed
    International conference proceedings, English
  • Asynchronous stimulation method for N100-P300 Speller
    N. Morita; Y. Washizawa
    in Proceedings of the 6th International Conference on Cognitive Neurodynamics (ICCN2017), 0, 0, 0-0, Aug. 2017, Peer-reviwed
    International conference proceedings, English
  • A Comparison of Pseudo Noise Coding and Mixed Frequency Phase Coding for Visual Evoked Potential Brain Computer Interface
    J. Sato; Y. Washizawa
    in Proceedings of the 2017 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP), 1, 85-88, Mar. 2017, Peer-reviwed
    International conference proceedings, English
  • An N100-P300 Spelling Brain-Computer Interface with Detection of Intentional Control
    H. Sato; Y. Washizawa
    Computers, 4, 4:31, 02 Dec. 2016, Peer-reviwed
    Scientific journal, English
  • Learning Subspace Classification Using Subset Approximated Kernel Principal Component Analysis
    Yoshikazu Washizawa
    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E99D, 5, 1353-1363, May 2016, Peer-reviwed
    Scientific journal, English
  • Discriminative Metric Learning on Extended Grassmann Manifold for Classification of Brain Signals
    Yoshikazu Washizawa
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, E99A, 4, 880-883, Apr. 2016, Peer-reviwed
    Scientific journal, English
  • Vibrotactile Brain-Computer Interface with Error-Detecting Codes
    Sittipong Apichartstaporn; Kitsuchart Pasupa; Yoshikazu Washizawa
    ADVANCES IN COGNITIVE NEURODYNAMICS (V), 355-361, 2016, Peer-reviwed
    International conference proceedings, English
  • Neural Decoding of Code Modulated Visual Evoked Potentials by Spatio-Temporal Inverse Filtering for Brain Computer Interfaces
    Jun-ichi Sato; Yoshikazu Washizawa
    2016 38TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 1, 1, 1484-1487, 2016, Peer-reviwed
    International conference proceedings, English
  • Reliability-based Automatic Repeat Request for Short Code Modulation Visual Evoked Potentials in Brain Computer Interfaces
    Jun-ichi Sato; Yoshikazu Washizawa
    2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 562-565, 2015, Peer-reviwed
    International conference proceedings, English
  • METRICS OF GRASSMANNIAN REPRESENTATION IN REPRODUCING KERNEL HILBERT SPACE FOR VARIATIONAL PATTERN ANALYSIS
    Yoshikazu Washizawa
    2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP), 2194-2198, 2015, Peer-reviwed
    International conference proceedings, English
  • Spatial filter for short period code modulation visual evoked potentials in brain computer interfaces
    J. Sato; Y. Washizawa
    Proceedings of the 30th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC 2015), 23-26, 2015, Peer-reviwed
    International conference proceedings, English
  • Sign Language Recognition with Microsoft Kinect's Depth and Colour Sensors
    Panupon Usachokcharoen; Yoshikazu Washizawa; Kitsuchart Pasupa
    2015 IEEE INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING APPLICATIONS (ICSIPA), accepted, 186-190, 2015, Peer-reviwed
    International conference proceedings, English
  • Channel Selection for Brain Signal Classification by Penalized Automatic Relevance Determination
    Reo Togashi; Yoshikazu Washizawa
    2015 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA), accepted, 1023-1027, 2015, Peer-reviwed
    International conference proceedings, English
  • Mahalanobis Distance on Extended Grassmann Manifolds for Variational Pattern Analysis
    Yoshikazu Washizawa; Seiji Hotta
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 25, 11, 1980-1990, Nov. 2014, Peer-reviwed
    Scientific journal, English
  • Multiple kernel learning for quadratically constrained MAP classification
    Yoshikazu Washizawa; Tatsuya Yokota; Yukihiko Yamashita
    IEICE Transactions on Information and Systems, Institute of Electronics, Information and Communication, Engineers, IEICE, E96-D, 5, 1340-1344, 2014, Peer-reviwed
    Scientific journal, English
  • A novel EEG-based spelling system using N100 and P300
    Hikaru Sato; Yoshikazu Washizawa
    Studies in Health Technology and Informatics, IOS Press, 205, 428-432, 2014, Peer-reviwed
    International conference proceedings, English
  • N100-P300 Speller BCI with detection of user's input intention
    H. Sato; Y. Washizawa
    Proc. of 6th International Brain-Computer Interface Conference, 242-245, 2014, Peer-reviwed
    International conference proceedings, English
  • Bayesian delay time estimation of brain signal using N100 response for auditory BCI
    Reo Togashi; Yoshikazu Washizawa
    2014 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA), accepted, 2014, Peer-reviwed
    International conference proceedings, English
  • Bayesian delay time estimation of brainwaves using N100 response in tactile-force brain-computer interface
    R. Togashi; Y. Washizawa
    Proc of SCIS and ISIS, accepted, 1-1, 2014, Peer-reviwed
    International conference proceedings, English
  • Electroencephalographic gamma-band activity and music perception in musicians and non-musicians
    Y. Urakami; K. Kawamura; Y. Washizawa; A. Cichocki
    Activitas Nervosa Superior Rediviva, 44, 4, 149-157, Dec. 2013, Peer-reviwed
    Scientific journal, English
  • 音楽認知におけるγ活動の意義―意識・認知との関連から
    浦上裕子; 川村光毅; 鷲沢嘉一; 日吉和子; アンジェイ チホツキ
    臨床神経生理学会誌, Japanese Society of Clinical Neurophysiology, 41, 3, 209-219, Aug. 2013, Peer-reviwed, Music perception involves acoustic tone activity and scene (melody, harmony) analysis, as well as its processing of musical syntax and semantics, that lead to the activation of the prefrontal cortex (and active motor) actions. The present study aimed to clarify the underlying neural networks during music perception in musicians and non-musicians. We examined spontaneous brain activities in six musicians (five musically trained students and one singer), and five non-musically trained students while listening to Dvorak's "From the new world" and Mozart's "Requiem" for 150 seconds for each piece, imaging the music for 60 seconds thereafter, using 60-ch electroencephalography (EEG). The data were analyzed and compared with those of the resting state. We adopted Morlet wavelet time-frequency analysis, and root mean square (RMS) was calculated in each frequency-band (Delta: 1–4 Hz, Theta: 4–8 Hz, Alpha: 8–13 Hz, Beta: 13–30 Hz, Gamma 30–50 Hz). During listening to the music, gamma activity was significantly decreased in all of the regions. While imaging the music, the musicians' gamma activity was significantly decreased in the entire cortical areas, whereas the non-musicians' gamma activity increased in the frontal area. A gamma activity decreased during perception of the music, especially in the prefrontal cortex in musicians; it is strongly related to the integration of recognition and emotion which reflects the processing of music in a highly integrated consciousness level. The frontal gamma activity shown here may indicate that musicians image the music in the same or similar condition as they are listening to the music that is, they do image and replay the music in the implicit memory compiled from the explicit acoustic memory while listening to the music. The differences as evidently shown in music perception between well-trained and non-trained students may reflect the differences of their education in musical experiences and expert skills obtained in their music carrier.
    Scientific journal, Japanese
  • Feature Extraction of P300 Signal Using Bayesian Delay Time Estimation
    Reo Togashi; Yoshikazu Washizawa
    2013 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA), 233, 1-5, 2013, Peer-reviwed
    International conference proceedings, English
  • Gamma-band activity; role of music perception in the brain
    Yuko Urakami; Yoshikazu Washizawa; Koki Kawamura; Kazuko Hiyoshi; Andrzej Cichocki
    Proc. of the 19th Annual Meeting of the Organization for Human Brain Mapping, 3557, 2013, Peer-reviwed
    International conference proceedings, English
  • Single trial BCI classification accuracy improvement for the novel virtual sound movement-based spatial auditory paradigm
    Yohann Lelievre; Yoshikazu Washizawa; Tomasz M. Rutkowski
    2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013, 365, 2013, Peer-reviwed
    International conference proceedings, English
  • Gamma-activity in the frontal lobe; represent self-consciousness and sustained attention of musicians and traumatic brain injured patients,
    Y. Urakami; K. Kawamura; Y. Washizawa; K. Hiyoshi; A. Cichocki
    Joint Annual Meeting ECNS-ISBET-ISNIP-EPIC, 36, 2013
    International conference proceedings, English
  • On Investigating Efficient Methodology for Environmental Sound Recognition
    Cruz Alfredo Ruiz-Martinez; Muhammad Tahir Akhtar; Yoshikazu Washizawa; Enrique Escamilla-Hernandez
    2013 INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING AND COMMUNICATIONS SYSTEMS (ISPACS), 210-214, 2013, Peer-reviwed
    International conference proceedings, English
  • Gamma-band Synchrony; Role of Music Perception in the Brain.
    Urakami Y; Washizawa Y; Kawamura K; Hiyoshi K; Cichocki A
    International conference of Electroencephalography and Clinical Neuroscience Society, 11-15, Dec. 2012, Peer-reviwed
    International conference proceedings, English
  • Adaptive Subset Kernel Principal Component Analysis for Time-Varying Patterns
    Yoshikazu Washizawa
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 23, 12, 1961-1973, Dec. 2012, Peer-reviwed
    Scientific journal, English
  • ADAPTIVE KERNEL PRINCIPAL COMPONENTS TRACKING
    Toshihisa Tanaka; Yoshikazu Washizawa; Anthony Kuh
    2012 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 1905-1908, 2012, Peer-reviwed
    International conference proceedings, English
  • MAHALANOBIS DISTANCE ON GRASSMANN MANIFOLD AND ITS APPLICATION TO BRAIN SIGNAL PROCESSING
    Yoshikazu Washizawa; Seiji Hotta
    2012 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP), 0, 0, 0, 2012, Peer-reviwed
    International conference proceedings, English
  • Toward multi-command auditory brain computer interfacing using speech stimuli
    Shuho Yoshimoto; Yoshikazu Washizawa; Toshihisa Tanaka; Hiroshi Higashi; Jun Tamura
    2012 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC), 1-4, 2012, Peer-reviwed
    International conference proceedings, English
  • Imagery Movement Paradigm User Adaptation Improvement with Quasi-movements Phenomenon
    Hiroshi Higashi; Tomasz M. Rutkowski; Yoshikazu Washizawa; Toshihisa Tanaka; Andrzej Cichocki
    ADVANCES IN COGNITIVE NEURODYNAMICS (II), 2, 677-681, 2011
    International conference proceedings, English
  • Centered Subset Kernel PCA for Denoising
    Yoshikazu Washizawa; Masayuki Tanaka
    COMPUTER VISION - ACCV 2010 WORKSHOPS, PT II, 6469, 354-363, 2011, Peer-reviwed
    International conference proceedings, English
  • Trace Norm Regularization and Application to Tensor Based Feature Extraction
    Yoshikazu Washizawa
    COMPUTER VISION - ACCV 2010 WORKSHOPS, PT II, 6469, 404-413, 2011, Peer-reviwed
    International conference proceedings, English
  • EEG auditory steady state responses classification for the novel BCI
    Hiroshi Higashi; Tomasz M. Rutkowski; Yoshikazu Washizawa; Andrzej Cichocki; Toshihisa Tanaka
    Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 4576-4579, 2011, Peer-reviwed
    International conference proceedings, English
  • Kernel Wiener Filter and its Application to Pattern Recognition
    Hirokazu Yoshino; Chen Dong; Yoshikazu Washizawa; Yukihiko Yamashita
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 21, 11, 1719-1730, Nov. 2010, Peer-reviwed
    Scientific journal, English
  • Blind Extraction of Global Signal From Multi-Channel Noisy Observations
    Yoshikazu Washizawa; Yukihiko Yamashita; Toshihisa Tanaka; Andrzej Cichocki
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 21, 9, 1472-1481, Sep. 2010, Peer-reviwed
    Scientific journal, English
  • Feature Extraction Using Constrained Approximation and Suppression
    Yoshikazu Washizawa
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 21, 2, 201-210, Feb. 2010, Peer-reviwed
    Scientific journal, English
  • Tensor based simultaneous feature extraction and sample weighting for EEG classification
    Yoshikazu Washizawa; Hiroshi Higashi; Tomasz Rutkowski; Toshihisa Tanaka; Andrzej Cichocki
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6444 LNCS, PART 2, 26-33, 2010, Peer-reviwed
    International conference proceedings, English
  • Subset kernel PCA for pattern recognition
    Yoshikazu Washizawa
    2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009, 162-169, 2009, Peer-reviwed
    International conference proceedings, English
  • SUBSET KERNEL PRINCIPAL COMPONENT ANALYSIS
    Yoshikazu Washizawa
    2009 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING, 357-362, 2009, Peer-reviwed
    International conference proceedings, English
  • Pattern classification on local metric structure
    Yoshikazu Washizawa
    Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, 471-475, 2009, Peer-reviwed
    International conference proceedings, English
  • Blind source extraction using spatio-temporal inverse filter
    Yoshikazu Washizawa; Yukihiko Yamashita; Andrzej Cichocki
    ISCAS: 2009 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-5, 2786-+, 2009, Peer-reviwed
    International conference proceedings, English
  • Noninvasive BCIs: Multiway signal-processing array decompositions
    Andrzej Cichocki; Yoshikazu Washizawa; Tomasz Rutkowski; Hovagim Bakardjian; Anh Huy Phan; Seungjin Choi; Hyekyoung Lee; Qibin Zhao; Liqing Zhang; Yuanqing Li
    Computer, 41, 10, 34-42, 2008, Peer-reviwed
    Scientific journal, English
  • Robust boundary learning for multi-class classification problems
    Y. Washizawa; S. Hotta
    in Proc. of 1st IAPR Workshop on Cognitive Information Processing (CIP 2008), 188-193, 2008, Peer-reviwed
    International conference proceedings, English
  • Blind global source extraction from noisy observations
    Y. Washizawa; Y. Yamashita; T. Tanaka; A. Cichocki
    in Proc. of 2008 RISP International Workshop on Nonlinear Circuits and Signal Processing (NCSP'08), 184-187, 2008, Peer-reviwed
    International conference proceedings, English
  • Simultaneous pattern classification and multidomain association using self-structuring kernel memory networks
    T. Hoya; Y. Washizawa
    IEEE Trans. Neural Networks, 18, 3, 732-744, Mar. 2007, Peer-reviwed
    Scientific journal, English
  • Extraction of steady state visually evoked potential signal and estimation of distribution map from EEG data.
    Washizawa Y; Yamashita Y; Tanaka T; Cichocki A
    Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2007, 5449-5452, 2007, Peer-reviwed
  • Sparse blind identification and separation by using adaptive K-orthodrome clustering
    Y. Washizawa; A. Cichocki
    Neurocomputing, 71, 10-12, 2321-2329, 2007, Peer-reviwed
    Scientific journal, English
  • Extraction of steady state visually evoked potential signal and estimation of distribution map from EEG data
    Yoshikazu Washizawa; Yukihiko Yamashita; Tohihisa Tanaka; Andrzej Cichocki
    2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16, 5449-5452, 2007, Peer-reviwed
    International conference proceedings, English
  • Regularization vs. rank reduction in quadratic classifiers
    Y. Washizawa
    Proc. of 8th Asian Conference on Computer Vision (ACCV 2007), 108-115, 2007, Peer-reviwed
    International conference proceedings, English
  • Kernel projection classifiers with suppressing features of other classes
    Y Washizawa; Y Yamashita
    NEURAL COMPUTATION, 18, 8, 1932-1950, Aug. 2006, Peer-reviwed
    Scientific journal, English
  • On-line K-plane clustering learning algorithm for sparse comopnent analysis
    Yoshikazu Washizawa; Andrzej Cichocki
    2006 IEEE International Conference on Acoustics, Speech and Signal Processing, Vols 1-13, 5539-5542, 2006, Peer-reviwed
    International conference proceedings, English
  • A flexible method for envelope estimation in empirical mode decomposition
    Yoshikazu Washizawa; Toshihisa Tanaka; Danilo P. Mandic; Andrzej Cichocki
    KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 3, PROCEEDINGS, 4253, 1248-1255, 2006, Peer-reviwed
    Scientific journal, English
  • Non-linear Wiener filter in reproducing kernel Hilbert space
    Yoshikazu Washizawa; Yukihiko Yamashita
    18TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 1, PROCEEDINGS, 967-+, 2006, Peer-reviwed
    International conference proceedings, English
  • On-line K-plane clustering learning algorithm for sparse comopnent analysis
    Yoshikazu Washizawa; Andrzej Cichocki
    2006 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL V, PROCEEDINGS, 681-+, 2006, Peer-reviwed
    International conference proceedings, English
  • Kernel relative principal component analysis for pattern recognition
    Y Washizawa; K Hikida; T Tanaka; Y Yamashita
    STRUCTURAL, SYNTACTIC, AND STATISTICAL PATTERN RECOGNITION, PROCEEDINGS, 3138, 1105-1113, 2004, Peer-reviwed
    Scientific journal, English
  • Kernel sample space projection classifier for pattern recognition
    Y Washizawa; Y Yamashita
    PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 2, 435-438, 2004, Peer-reviwed
    International conference proceedings, English

MISC

  • Neural Decoding of Code Modulated Visual Evoked Potentials by Spatio-Temporal Inverse Filtering for Brain Computer Interfaces
    佐藤 純一; 鷲沢 嘉一
    電子情報通信学会, 19 May 2016, 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 116, 39, 65-70, Japanese, 0913-5685, 40020849557, AA11370335
  • Toward auditory brain-computer interfacing using speech stimuli
    TAMURA Jun; WASHIZAWA Yoshikazu; HIGASHI Hiroshi; MORIKAWA Naoki; TANAKA Toshihisa
    A brain-computer interface (BCI) is an alternative communication channel between human and a computer, which is able to translate the brain activities of the patients suffering from some severe disabled diseases into the computer commands to communicate with the external world. Up to now, a number of BCI systems are based on visual stimuli. However a patient of Amyotrophic Lateral Sclerosisln cannot use these BCIs. Therefore, we propose an auditory BCI using speech stimuli. In this paper, we confirm the induction of P300 when we present a stimulus as a single note of Japanese. Moreover we show that it can be identified using the linear discriminant analysis., The Institute of Electronics, Information and Communication Engineers, 01 Mar. 2012, IEICE technical report. Signal processing, 111, 486, 281-286, Japanese, 0913-5685, 110009545339, AA11943613
  • Toward auditory brain-computer interfacing using speech stimuli
    TAMURA Jun; WASHIZAWA Yoshikazu; HIGASHI Hiroshi; MORIKAWA Naoki; TANAKA Toshihisa
    A brain-computer interface (BCI) is an alternative communication channel between human and a computer, which is able to translate the brain activities of the patients suffering from some severe disabled diseases into the computer commands to communicate with the external world. Up to now, a number of BCI systems are based on visual stimuli. However a patient of Amyotrophic Lateral Sclerosisln cannot use these BCIs. Therefore, we propose an auditory BCI using speech stimuli. In this paper, we confirm the induction of P300 when we present a stimulus as a single note of Japanese. Moreover we show that it can be identified using the linear discriminant analysis., The Institute of Electronics, Information and Communication Engineers, 01 Mar. 2012, IEICE technical report. Circuits and systems, 111, 465, 281-286, Japanese, 0913-5685, 110009545612, AN10013094
  • Toward auditory brain-computer interfacing using speech stimuli
    TAMURA Jun; WASHIZAWA Yoshikazu; HIGASHI Hiroshi; MORIKAWA Naoki; TANAKA Toshihisa
    A brain-computer interface (BCI) is an alternative communication channel between human and a computer, which is able to translate the brain activities of the patients suffering from some severe disabled diseases into the computer commands to communicate with the external world. Up to now, a number of BCI systems are based on visual stimuli. However a patient of Amyotrophic Lateral Sclerosisln cannot use these BCIs. Therefore, we propose an auditory BCI using speech stimuli. In this paper, we confirm the induction of P300 when we present a stimulus as a single note of Japanese. Moreover we show that it can be identified using the linear discriminant analysis., The Institute of Electronics, Information and Communication Engineers, 01 Mar. 2012, IEICE technical report. Communication systems, 111, 467, 281-286, Japanese, 0913-5685, 110009545681, AN10013298
  • GNU Octave (前編,後編)
    鷲沢 嘉一
    2011, 映像情報メディア学会誌, 65, 5,6, 683-686, 790-793, Japanese, Introduction other
  • Extraction of the global signal from multi-channel noisy signals and its application in EEG processing
    WASHIZAWA Yoshikazu; YAMASHITA Yukihiko; TANAKA Toshihisa; CICHOCKI Andrzej
    We propose a signal extraction method from multi-sensor network when each observed signal consists of a global signal and a local uncorrelated noise. This process can be modeled by a blind estimation method in which the number of source signals is the number of observations plus one. We propose an efficient method to estimate the mixing matrix. We also provide two criteria to extract the global signal. By estimating the mixing matrix, we can 1) extract the global signal, 2) find sensors which contains the global signals well, 3) rank sensors in order of information with respect to global si..., 社団法人電子情報通信学会, 17 May 2007, Technical report of IEICE. EA, 107, 62, 61-66, English, 0913-5685, 110006291566

Books and other publications

  • 工学のためのフーリエ解析 (工学のための数学)
    山下幸彦; 田中聡久; 鷲沢嘉一
    Scholarly book, Japanese, Joint work, 数理工学社, 2016
  • 機械学習によるパターン識別と画像認識への応用 ~Octave/MATLABシミュレーションでわかりやすく解説~
    鷲沢嘉一; 田中聡久
    Japanese, Joint work, トリケップス, May 2013
  • Principal Component Analysis
    Parinya Sanguansat; Cuauhtemoc Araujo-Andrade; Claudio Frausto-Reyes; Esteban Gerbino; Pablo Mobili; Elizabeth Tymczyszyn; Edgar L. Esparza-Ibarra; Rumen Ivanov-Tsonchev; Andrea Go mez-Zavaglia; Maria Monfreda; Yoshikazu Washizawa; Xian-Hua Han; Yen-Wei Chen; Ramana Vinjamuri; WeiWang; Mingui Sun; Zhi-Hong Mao; Masahiro Kuroda; Yuichi Mori; Masaya Iizuka; Michio Sakakihara; Mauridhi Hery Purnomo; Diah P. Wulandari; I. Ketut; Eddy Purnama; Arif Muntasa; Shiow-Jyu Lin; Kun
    English, Joint work, Chapter 4, Subset Basis Approximation of Kernel Principal Component Analysis, Intech, Mar. 2012

Lectures, oral presentations, etc.

  • 定常視覚刺激誘発BCIのためのランダムサンプリングによる信号強調
    鷲沢嘉一
    Oral presentation, Japanese, 電子情報通信学会信号処理研究会
    04 Mar. 2026
    02 Mar. 2026- 04 Mar. 2026
  • 脳波を用いた音響包絡追従解析に基づく言語音声に対する注意集中力の評価
    市川佳直; 鷲沢嘉一
    Oral presentation, Japanese, 電子情報通信学会信号処理研究会
    04 Mar. 2026
    02 Mar. 2026- 04 Mar. 2026
  • ユーザ非依存条件下での脳波感情認識のためのドメイン適応型オンライン学習
    森 航太郎; 鷲沢嘉一
    Oral presentation, Japanese, 電子情報通信学会信号処理研究会
    04 Mar. 2026
    02 Mar. 2026- 04 Mar. 2026
  • 相関分析を用いた CNN による符号変調 BCI
    小谷 裕也; 鷲沢 嘉一
    第39回信号処理シンポジウム
    Dec. 2024
    Dec. 2024
  • ヒルベルト変換を用いた複素CNNによるBCI
    高田 倫太朗; 鷲沢 嘉一
    Japanese, 第39回信号処理シンポジウム
    Dec. 2024
    Dec. 2024
  • Steady state visual evoked potential BCI using phase-shift keying
    前島 蒼大; 鷲沢 嘉一
    Oral presentation, Japanese, 第39回信号処理シンポジウム
    Dec. 2024
    Dec. 2024
  • うつ病予防のためのマインドフルネス瞑想の脳波による定量的評価
    徳永 翼; 鷲沢 嘉一
    第12回看護理工学会学術集会, Peer-reviewed
    Nov. 2024
    Nov. 2024
  • 正定値対称行列空間上におけるリーマングラフを用いた計量学習による脳コンピュータインターフェース
    佐々木 陸行; 鷲沢 嘉一
    Oral presentation, Japanese, 第38回信号処理シンポジウム
    Nov. 2023
    06 Nov. 2023- 08 Nov. 2023
  • レーザ変位計と振動スピーカを用いた能動ノイズ制御
    海老江 航太; 鷲沢 嘉一
    Oral presentation, Japanese, 第38回信号処理シンポジウム
    Nov. 2023
    Nov. 2023 Nov. 2023
  • 恐怖感情に対するタッチング効果を脳波を用いて評価する~VR刺激を用いた国際比較~
    日吉 和子; 徳永翼; 鷲沢嘉一; Francois Vialatte
    第11回看護理工学会学術集会, Peer-reviewed
    10 Jun. 2023
    10 Jun. 2023- 11 Jun. 2023
  • 恐怖に対するタッチング効果~脳波を用いた定量的評価~
    徳永翼; 鷲沢嘉一; Francois Vialatte; 日吉和子
    Oral presentation, Japanese, 第10回看護理工学会学術集会
    Oct. 2022
  • Feature selection using L2,2-1 regularized deep neural network
    鄭 子徳; 鷲沢嘉一
    Oral presentation, Japanese, 第21回情報科学技術フォーラム (FIT2022), Domestic conference
    15 Sep. 2022
  • 複素CNNによる脳コンピューターインターフェースのためのSSVEP分類
    池田 晟; 鷲沢嘉一
    Oral presentation, Japanese, 電子情報通信学会総合大会2021, 電子情報通信学会, Domestic conference
    Mar. 2021
  • AUC Maximization in Deep Neural Network Learning for Imbalanced Classification Problems
    Shuyu Zhang; Yoshikazu Washizawa
    Oral presentation, English, 電子情報通信学会, 電子情報通信学会, Domestic conference
    Mar. 2021
  • 複素ニューラルネットワークを用いた自発脳波分類
    池田晟; 鷲沢嘉一
    Oral presentation, Japanese, 電子情報通信学会信号処理研究会シンポジウム, Domestic conference
    2019
  • 畳み込みニューラルネットワークを用いた乾式電極EEGの信号復元
    小上馬悠貴; 鷲沢嘉一
    Oral presentation, Japanese, 計測自動制御学会 ライフエンジニアリング部門シンポジウム2018, Domestic conference
    2018
  • ネガティブな視覚認知に対するタッチング効果 ~脳波を用いた感情調節の定量的評価~
    村松 敬司; 鷲沢 嘉一; 日吉 和子
    Oral presentation, Japanese, 看護理工学会, Domestic conference
    2018
  • 多クラスヒンジ損失を用いたスパース表現分類器
    紙屋亮太; 鷲沢嘉一
    Oral presentation, Japanese, 電子情報通信学会信号処理研究会シンポジウム, Domestic conference
    2018
  • 脳波情報に基づく音楽推薦システム
    糸賀弘樹; 鷲沢嘉一
    Oral presentation, Japanese, 電子情報通信学会信号処理研究会シンポジウム, Domestic conference
    Nov. 2017
  • ニューラルネットワークを用いた自発脳活動解析による音楽ジャンルの推定
    糸賀弘樹; 鷲沢嘉一
    Oral presentation, Japanese, 信学技報, Domestic conference
    2017
  • 脳波を用いた音楽鑑賞時の感情認識における有効な特徴量の検討
    Oral presentation, Japanese, Domestic conference
    2016
  • 符号変調視覚誘発電位のニューラルデコーディングと脳コンピュータインターフェースへの応用
    佐藤純一; 鷲沢嘉一
    Oral presentation, Japanese, 信学技報SIP2016-13, Domestic conference
    2016
  • 符号変調視覚誘発電位脳コンピュータインターフェースのための信頼度に基づく自動再送要求の適用に関する研究
    佐藤純一; 鷲沢嘉一
    Poster presentation, Japanese, 信学技報IEICE-EA2014-97, Domestic conference
    Mar. 2015
  • P300-N100 speller and short code modulated VEP brain computer interfaces,
    Y. Washizawa
    Invited oral presentation, English, The Third APSIPA Workshop on the Frontier in Biomedical Signal Processing and Systems, Invited, 上海, International conference
    2015
  • 音楽認知における$\gamma$活動の意義-脳波脳磁場同時記録を用いて
    浦上裕子; 川村光毅; 鷲沢嘉一; アンジェイチホツキ
    Oral presentation, Japanese, 第43回日本臨床神経生理学会学術大会
    Nov. 2014
  • N100 use in brain computer interfaces,
    Y. Washizawa
    Invited oral presentation, English, The Second APSIPA Workshop on the Frontier in Biomedical Signal Processing and Systems (BioSiPS 2014), Invited, APSIPA, International conference
    Mar. 2014
  • 部分空間を用いた脳波識別のための空間フィルタの設計
    善本秀法; 鷲沢嘉一
    Oral presentation, Japanese, 電子情報通信学会信号処理研究会, Domestic conference
    2014
  • Grassmannian Representation for Variational Pattern Classification and Its Application to Brain Signal Processing
    Y. Washizawa
    Invited oral presentation, English, The First APSIPA Workshop on the Frontier in Biomedical Signal Processing and Systems, Asia Pacific Signal and Information Processing Association, Bangkok, Thailand, International conference
    Mar. 2013
  • ECT法による生体情報の取得に関する研究
    玉井瑞又; 鷲沢嘉一; 三上直樹
    Oral presentation, Japanese, 生活生命支援医療福祉工学系学会連合大会,生活生命支援医療福祉工学系学会連合大会
    2013
  • 音楽聴取時の脳内神経基盤の解明
    浦上裕子; 川村光毅; 鷲沢嘉一; 日吉和子
    Oral presentation, Japanese, 第42回日本臨床神経生理学会学術大会,第42回日本臨床神経生理学会学術大会
    Oct. 2012
  • 音声刺激による聴覚ブレイン・コンピュータ・インタフェースの可能性
    田村潤; 鷲沢嘉一; 東広志; 田中聡久
    Oral presentation, Japanese, 信学技報,電子情報通信学会信号処理研究会
    Mar. 2012
  • 重み付け更新を用いたカーネル部分空間法による多クラス識別
    鷲沢 嘉一
    Public symposium, Japanese, 画像の認識・理解シンポジウム(MIRU 2012)
    2012
  • ノイズ除去手法
    鷲沢嘉一
    Others, Japanese, 技術講習会, 海洋音響学会
    Dec. 2011
  • Grassmannian上のMahalanobis距離とその拡張に関する検討
    鷲沢 嘉一; 堀田 政二
    Oral presentation, Japanese, 電子情報通信学会信号処理研究会,第26回信号処理シンポジウム
    Nov. 2011
  • オンライン部分カーネル主成分分析
    鷲沢 嘉一
    Oral presentation, Japanese, 信学技報
    2011
  • 定常的聴覚誘発電位を用いた脳コンピュータインターフェイス
    東 広志; 鷲沢 嘉一; T. Rutkowski; 田中 聡久
    Oral presentation, Japanese, 信学技報
    2011
  • 中心化部分カーネル主成分分析によるデノイジング
    鷲沢 嘉一; 田中 正行
    Oral presentation, Japanese, 第9回情報科学技術フォーラム(FIT2010)
    2010
  • パターン認識技術の基礎と実装 --プログラムで理解するパターン認識の知って得するテクニック--
    鷲沢 嘉一; 堀田 政二
    Invited oral presentation, Japanese, 第15回画像センシングシンポジウム(SSII09)
    2009
  • 抑制付きカーネル部分空間法
    鷲沢 嘉一
    Public symposium, Japanese, 部分空間法研究会2008
    2008
  • 制約付きの近似による特徴抽出
    鷲沢 嘉一
    Public symposium, Japanese, 第11 回画像の認識・理解シンポジウム(MIRU2008)
    2008
  • マルチクラス識別問題に対する最適識別境界の学習
    鷲沢 嘉一; 堀田 政二
    Oral presentation, Japanese, 電子情報通信学会,2008年総合大会
    2008
  • 雑音を含む観測信号からのブラインド信号抽出と信号処理への応用
    鷲沢 嘉一; 山下 幸彦; 田中 聡久; A. Cichocki
    Oral presentation, Japanese, 電子情報通信学会,2008年総合大会
    2008
  • マージン最大化基準に基づく特徴選択と脳信号処理への応用
    鷲沢 嘉一
    Public symposium, Japanese, 第23回信号処理シンポジウム講演論文集,, 電子情報通信学会
    2008
  • 多チャンネルの観測信号に含まれる共通信号の強度推定と抽出およびその脳電図処理への応用
    鷲沢 嘉一; 山下 幸彦; 田中 聡久; A. Cichocki
    Oral presentation, Japanese, 信学技報
    2007
  • 正則化を用いた2次識別器
    鷲沢 嘉一
    Public symposium, Japanese, 画像の認識・理解シンポジウム(MIRU 2007)
    2007
  • 経験的モード分解における帯域幅制御
    鷲沢 嘉一; 田中 聡久; D. Mandic; A. Cichocki
    Public symposium, Japanese, 第21 回信号処理シンポジウム講演論文集
    2007
  • オンラインK 平面クラスタリングによる疎行列解析
    鷲沢 嘉一; A. Cichocki
    Oral presentation, Japanese, 2006 年電子情報通信学会総合大会講演論文集,2006 年電子情報通信学会総合大会講演論文集
    2006
  • A family of kernel subspace classifiers
    鷲沢 嘉一; 山下 幸彦
    Oral presentation, English, 部分空間法研究会2006 予稿集,,部分空間法研究会2006 予稿集,
    2006
  • 抑制型カーネル標本空間射影法によるパターン認識
    鷲沢 嘉一; 山下 幸彦
    Oral presentation, Japanese, 信学技報,信学技報
    2004
  • カーネルウィーナーフィルタ
    鷲沢 嘉一; 山下 幸彦
    Oral presentation, Japanese, 信学技報,信学技報
    2004
  • カーネル相対主成分分析による 多クラスパターン認識
    鷲沢 嘉一; 疋田謙司; 田中聡久; 山下幸彦
    Oral presentation, Japanese, 第2 回 FIT(情報科学技術フォーラム)情報レターズ,第2 回 FIT(情報科学技術フォーラム)情報レターズ
    2003
  • カーネルウィーナーフィルタ
    鷲沢 嘉一; 山下 幸彦
    Public symposium, Japanese, 第6 回情報論的学習理 論ワークショップ
    2003
  • カーネル標本空間射影法によるパターン認識
    鷲沢 嘉一; 山下 幸彦
    Public symposium, Japanese, 第6回情報論的学習理論ワークショップ
    2003
  • パターン認識のための相対KL 変換法の高精度化,
    鷲沢 嘉一; 疋田謙司; 田中 聡久; 山下幸彦
    Oral presentation, Japanese, 第1回 FIT (情報科学技術フォーラム) 一般講演論文集
    2002

Courses

  • 数理統計
    Oct. 2021 - Present
  • 数理統計(Mエリア)
    Present
    電気通信大学
  • 電子工学工房
    Present
    The University of Electro-Communications
  • 数理統計(Mエリア)
    The University of Electro-Communications
  • 電子情報学実験A
    The University of Electro-Communications
  • 電子情報学実験A
    電気通信大学
  • 輪講A(学部・K課程)
    The University of Electro-Communications
  • 輪講A(学部・K課程)
    電気通信大学
  • ディジタル信号処理基礎論
    The University of Electro-Communications
  • イノベイティブ総合コミュニケーションデザイン1,2
    The University of Electro-Communications
  • イノベイティブ総合コミュニケーションデザイン1,2
    電気通信大学
  • 電気回路学および演習
    The University of Electro-Communications
  • 電気回路学および演習
    電気通信大学
  • ディジタル信号処理基礎論
    The University of Electro-Communications
  • ディジタル信号処理基礎論
    電気通信大学
  • 情報・通信工学基礎
    The University of Electro-Communications
  • 情報・通信工学基礎
    電気通信大学
  • 電子工学工房
    The University of Electro-Communications

Affiliated academic society

  • Asia Pacific Signal and Information Processing Association
  • IEEE
  • 電子情報通信学会

Research Themes

  • 認識機構のファイバー束による統一的表現理論の構築とその機械学習への応用
    01 Apr. 2020 - 31 Mar. 2023
  • 介護の見える化:タッチングケア効果の評価
    公益財団法人KDDI財団
    2019 - 2022
  • 作用素多様体理論の構築とパターン認識への応用
    山下幸彦
    01 Apr. 2017 - 31 Mar. 2020
  • カーネルグラスマン表現の計量構造及び脳信号処理への応用
    鷲沢嘉一
    Principal investigator
    01 Apr. 2015 - 31 Mar. 2018
  • 脳波・脳磁図と機能的MRIを用いた脳損傷者の安静時機能的脳活動の解明
    浦上裕子
    01 Apr. 2015 - 31 Mar. 2018

Industrial Property Rights

  • 文字入力装置及び文字入力システム
    Patent right, 鷲沢 嘉一, 佐藤光, 2014-103436, Date applied: 09 May 2014

Academic Contribution Activities

  • IJCNN reviewer
    Peer review etc, Peer review, International Neural Network Society and the IEEE Computational Intelligence Society,, Mar. 2024 - Mar. 2024
  • EMBC 2024 reviewer
    Peer review etc, Peer review, IEEE EMBS, Mar. 2024 - Mar. 2024