H. Sawada

H. Sawada, S. Makino, G. Schuller, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Signal separation process, signal isolator device, signal separation program and recording medium

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2004 .

Parametric Pearson approach based independent component analysis for freqeucny domain blind speech separation

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2006 .

A Solution for the Permutation Problem in Frequency Domain BSS using Near-and Far-field Models

S. Araki, H. Sawada, R. Mukai, 2004 .

A Model for Selection of Attractions in Theme Park and Estimation of Model Parameters

Futoshi Naya, Hiroshi Sawada, Tatsushi Matsubayashi, 2019, Transactions of the Japanese Society for Artificial Intelligence.

Data Assimilation and Preliminary Security Planning for People Crowd

Futoshi Naya, Yuichi Muto, Hiroshi Sawada, 2019, Transactions of the Japanese Society for Artificial Intelligence.

Latent Feature Independent Cascade Model for Social Propagation

Tomoharu Iwata, H. Sawada, Yuya Yoshikawa, 2013 .

2000 IEEE International Conference on Acoustics, Speech, and Signal Processing Proceedings

H. Sawada, S. Makino, G. Schuller, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Blind and Neural Network-Guided Convolutional Beamformer for Joint Denoising, Dereverberation, and Source Separation

Hiroshi Sawada, Tomohiro Nakatani, Shoko Araki, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Position information estimator, process it and program

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2004 .

Sparse source separation based on simultaneous clustering of source locational and spectral features

Hiroshi Sawada, Tomohiro Nakatani, Shoko Araki, 2011 .

Chapter 10. Underdetermined Blind Source Separation Using Acoustic Arrays

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2010 .

K-means Based Underdetermined Blind Speech Separation

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2007, Blind Speech Separation.

Blind Audio Source Separation Blind Audio Source Separation based on based on Independent Component Analysis Independent Component Analysis

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2007 .

Convolutive blind source separation for more than two sources in the frequency domain

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Switching Independent Vector Analysis and its Extension to Blind and Spatially Guided Convolutional Beamforming Algorithms pdf

Hiroshi Sawada, Tomohiro Nakatani, Shoko Araki, 2021, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

A-10-7 Blind Signal Separation by Observation Vector Clustering

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2005 .

Machine-learning-assisted thin-film growth: Bayesian optimization in molecular beam epitaxy of SrRuO3 thin films

Hiroshi Sawada, Takuma Otsuka, Hideki Yamamoto, 2019, APL Materials.

Improved adaptive sampling method utilizing Gaussian process regression for prediction of spectral peak structures

Takuma Otsuka, H. Sawada, Hideki Yamamoto, 2018, Applied Physics Express.

Network Event Extraction from Log Data with Nonnegative Tensor Factorization

Akio Watanabe, Hiroshi Sawada, Tatsuya Mori, 2017, IEICE Trans. Commun..

Underdetermined Blind Source Separation of Convolutive Mixtures by Hierarchical Clustering and L1-Norm Minimization

Hiroshi Sawada, Walter Kellermann, Shoji Makino, 2007, Blind Speech Separation.

Frequency-Domain Pearson Distribution Approach for Independent Component Analysis (FD-Pearson-ICA) in Blind Source Separation

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2009, IEEE Transactions on Audio, Speech, and Language Processing.

Parametric-Pearson-based independent component analysis for frequency-domain blind speech separation

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2006, 2006 14th European Signal Processing Conference.

Blind source separation with optimal transport non-negative matrix factorization

Mathieu Blondel, H. Sawada, Antoine Rolet, 2018, EURASIP J. Adv. Signal Process..

Switching Independent Vector Analysis and its Extension to Blind and Spatially Guided Convolutional Beamforming Algorithms

T. Nakatani, K. Kinoshita, S. Araki, 2021, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Computationally Efficient and Versatile Framework for Joint Optimization of Blind Speech Separation and Dereverberation

Tomohiro Nakatani, Shoko Araki, Keisuke Kinoshita, 2020, INTERSPEECH.

Independent Low-Rank Matrix Analysis with Decorrelation Learning

Hiroshi Sawada, Tomohiro Nakatani, Rintaro Ikeshita, 2019, 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

A review of blind source separation methods: two converging routes to ILRMA originating from ICA and NMF

Hirokazu Kameoka, Hiroshi Saruwatari, Daichi Kitamura, 2019, APSIPA Transactions on Signal and Information Processing.

Determined Blind Source Separation Unifying Independent Vector Analysis and Nonnegative Matrix Factorization

Hirokazu Kameoka, Hiroshi Sawada, Hiroshi Saruwatari, 2016, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Relaxation of rank-1 spatial constraint in overdetermined blind source separation

Hirokazu Kameoka, Hiroshi Sawada, Hiroshi Saruwatari, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

Efficient multichannel nonnegative matrix factorization exploiting rank-1 spatial model

Hirokazu Kameoka, Hiroshi Sawada, Hiroshi Saruwatari, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Improvement of speech recognition performance for spoken-oriented robot dialog system using end-fire array

Kiyohiro Shikano, Hiroshi Sawada, Hiroshi Saruwatari, 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Semi-blind suppression of internal noise for hands-free robot spoken dialog system

Kiyohiro Shikano, Hiroshi Sawada, Hiroshi Saruwatari, 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Frequency-Domain Blind Source Separation of Many Speech Signals Using Near-Field and Far-Field Models

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2006, EURASIP J. Adv. Signal Process..

Audio source separation based on independent component analysis

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2004, 2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No.04CH37512).

Multistage SIMO-model-based blind source separation combining frequency-domain ICA and time-domain ICA

Kiyohiro Shikano, Hiroshi Sawada, Ryo Mukai, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Blind source separation with different sensor spacing and filter length for each frequency range

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2002, Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing.

Polar coordinate based nonlinear function for frequency-domain blind source separation

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Quantum transport evidence of Weyl fermions in an epitaxial ferromagnetic oxide

Takuma Otsuka, H. Sawada, Hideki Yamamoto, 2020, Nature Communications.

Emergence of Weyl fermions in an epitaxial ferromagnetic oxide

Takuma Otsuka, H. Sawada, Hideki Yamamoto, 2020, 2004.00810.

Fast approximate similarity search based on degree-reduced neighborhood graphs

Naonori Ueda, Hiroshi Sawada, Kazumi Saito, 2011, KDD.

Probabilistic latent network visualization: inferring and embedding diffusion networks

Tomoharu Iwata, Hiroshi Sawada, Takeshi Kurashima, 2014, KDD.

Bayesian Optimization for Crowd Traffic Control Using Multi-Agent Simulation

Naonori Ueda, Tomoharu Iwata, Hiroshi Sawada, 2019, 2019 IEEE Intelligent Transportation Systems Conference (ITSC).

BLIND SOURCE SEPARATION FOR CONVOLUTIVE MIXTURES BASED ON COMPLEXITY MINIMIZATION S

Hiroshi Sawada, Shoji Makino, Ryo Mukai, 2003 .

Multichannel Sound Source Dereverberation and Separation for Arbitrary Number of Sources Based on Bayesian Nonparametrics

Hiroshi Sawada, Takuya Yoshioka, Hiroshi G. Okuno, 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Natural gradient multichannel blind deconvolution and speech separation using causal FIR filters

Hiroshi Sawada, Scott C. Douglas, Shoji Makino, 2004, IEEE Transactions on Speech and Audio Processing.

Real-Time Blind Source Separation for Moving Speech Signals

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2005 .

Blind Source Separation for MOving Speech Signals Using Blockwise ICA and Residual Crosstalk Subtraction

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2004 .

Robust real-time blind source separation for moving speakers in a room

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Non-negative periodic component analysis for music source separation

Hirokazu Kameoka, Hiroshi Sawada, Aki Hayashi, 2016, 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA).

Underdetermined blind sparse source separation for arbitrarily arranged multiple sensors

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2007, Signal Process..

Predicting Destinations from Partial Trajectories Using Recurrent Neural Network

Hiroshi Sawada, Yuki Endo, Hiroyuki Toda, 2017, PAKDD.

Bayesian Nonparametrics for Microphone Array Processing

Hiroshi Sawada, Hiroshi G. Okuno, Takuma Otsuka, 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

The signal separation evaluation campaign (2007-2010): Achievements and remaining challenges

Fabian J. Theis, Emmanuel Vincent, Hiroshi Sawada, 2012, Signal Process..

Blind Speech Separation

Te-Won Lee, Shoji Makino, Hiroshi Sawada, 2007, Blind Speech Separation.

Extended Fisher Criterion Based on Auto-correlation Matrix Information

Hiroshi Sawada, Hitoshi Sakano, Katsuhiko Ishiguro, 2012, SSPR/SPR.

Underdetermined Convolutive Blind Source Separation via Frequency Bin-Wise Clustering and Permutation Alignment

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2011, IEEE Transactions on Audio, Speech, and Language Processing.

Fashion Coordinates Recommender System Using Photographs from Fashion Magazines

Tomoharu Iwata, Shinji Watanabe, Hiroshi Sawada, 2011, IJCAI.

Learning Common Grammar from Multilingual Corpus

Tomoharu Iwata, Hiroshi Sawada, Daichi Mochihashi, 2010, ACL.

A robust and precise method for solving the permutation problem of frequency-domain blind source separation

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2004, IEEE Transactions on Speech and Audio Processing.

The world of mushrooms: human-computer interaction prototype systems for ambient intelligence

Hiroshi Sawada, Kentaro Ishizuka, Takeshi Yamada, 2007, ICMI '07.

Change-Point Detection with Feature Selection in High-Dimensional Time-Series Data

Hiroshi Sawada, Makoto Yamada, Futoshi Naya, 2013, IJCAI.

Finding Appropriate Traffic Regulations via Graph Convolutional Networks pdf

Naonori Ueda, Tomoharu Iwata, Hiroshi Sawada, 2018, ArXiv.

Multiple source localization using independent component analysis

S. Araki, H. Sawada, R. Mukai, 2005, 2005 IEEE Antennas and Propagation Society International Symposium.

Measuring Dependence of Bin-wise Separated Signals for Permutation Alignment in Frequency-domain BSS

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2007, 2007 IEEE International Symposium on Circuits and Systems.

Hierarchical clustering applied to overcomplete BSS for convolutive mixtures

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2004, SAPA@INTERSPEECH.

Social media knows what road it is: quantifying road characteristics with geo-tagged posts

H. Sawada, Kyosuke Nishida, Hiroyuki Toda, 2017, Social Network Analysis and Mining.

How fashionable is each street?: Quantifying road characteristics using social media

Hiroshi Sawada, Hiroyuki Toda, Takuya Nishimura, 2016, 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

A Multichannel MMSE-Based Framework for Speech Source Separation and Noise Reduction

Hiroshi Sawada, Tomohiro Nakatani, Shoko Araki, 2013, IEEE Transactions on Audio, Speech, and Language Processing.

Spatio-temporal factorization of log data for understanding network events

Akio Watanabe, Hiroshi Sawada, Tatsuya Mori, 2014, IEEE INFOCOM 2014 - IEEE Conference on Computer Communications.

DOA Estimation for Multiple Sparse Sources with Arbitrarily Arranged Multiple Sensors

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2011, J. Signal Process. Syst..

Subset Infinite Relational Models

Naonori Ueda, Hiroshi Sawada, Katsuhiko Ishiguro, 2012, AISTATS.

Multichannel Extensions of Non-Negative Matrix Factorization With Complex-Valued Data

Hirokazu Kameoka, Shoko Araki, Naonori Ueda, 2013, IEEE Transactions on Audio, Speech, and Language Processing.

Blind sparse source separation for unknown number of sources using Gaussian mixture model fitting with Dirichlet prior

Hiroshi Sawada, Tomohiro Nakatani, Shoko Araki, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

MAP-Based Underdetermined Blind Source Separation of Convolutive Mixtures by Hierarchical Clustering and -Norm Minimization

Hiroshi Sawada, Walter Kellermann, Shoji Makino, 2007, EURASIP J. Adv. Signal Process..

A Joint Diagonalization Based Efficient Approach to Underdetermined Blind Audio Source Separation Using the Multichannel Wiener Filter

Tomohiro Nakatani, Hiroshi Sawada, Rintaro Ikeshita, 2021, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Underdetermined Convolutive Blind Source Separation via Frequency Bin-Wise Clustering and Permutation Alignment

S. Araki, H. Sawada, S. Makino, 2011, IEEE Transactions on Audio, Speech, and Language Processing.

Non-Linear Regression for Bag-of-Words Data via Gaussian Process Latent Variable Set Model

Tomoharu Iwata, Hiroshi Sawada, Yuya Yoshikawa, 2015, AAAI.

Regularity Measure and Influence Weight for Analysis and Visualization of Consumer's Attitude

Hiroshi Sawada, Aki Hayashi, Tatsushi Matsubayashi, 2015, 2015 19th International Conference on Information Visualisation.

Direction of arrival estimation for multiple source signals using independent component analysis

Hiroshi Sawada, Shoji Makino, Ryo Mukai, 2003, Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings..

Topic model for analyzing purchase data with price information

Tomoharu Iwata, Hiroshi Sawada, Tomoharu Iwata, 2013, Data Mining and Knowledge Discovery.

Underdetermined blind separation for speech in real environments with sparseness and ICA

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Collaboration on Social Media: Analyzing Successful Projects on Social Coding pdf

Tomoharu Iwata, Hiroshi Sawada, Yuya Yoshikawa, 2014, ArXiv.

Transition Pattern Extraction Based on Location History Considering Missing Value and Periodicity

Hirokazu Kameoka, Hiroshi Sawada, Aki Hayashi, 2017 .

Regular behavior measure for location based services

Hiroshi Sawada, Aki Hayashi, Tatsushi Matsubayashi, 2014, WebSci '14.

Analyzing Temporal Dynamics of Consumer's Behavior Based on Hierarchical Time-Rescaling

Hiroshi Sawada, Hideaki Kim, Noriko Takaya, 2017, IEICE Trans. Inf. Syst..

Tracking Temporal Dynamics of Purchase Decisions via Hierarchical Time-Rescaling Model

Hiroshi Sawada, Hideaki Kim, Noriko Takaya, 2014, CIKM.

Learning of Nonnegative Matrix Factorization Models for Inconsistent Resolution Dataset Analysis

Masahiro KOHJIMA, Tatsushi MATSUBAYASHI, Hiroshi SAWADA, 2019, IEICE Trans. Inf. Syst..

Non-Negative Multiple Matrix Factorization

Koh Takeuchi, Hiroshi Sawada, Katsuhiko Ishiguro, 2013, IJCAI.

Probabilistic Models Based on Non-Negative Matrix Factorization for Inconsistent Resolution Dataset Analysis

H. Sawada, T. Matsubayashi, M. Kohjima, 2017 .

First Stereo Audio Source Separation Evaluation Campaign: Data, Algorithms and Results

J. Rosca, E. Vincent, H. Sawada, 2007, ICA.

Automatic inference of cross-modal nonverbal interactions in multiparty conversations: "who responds to whom, when, and how?" from gaze, head gestures, and utterances

Hiroshi Sawada, Junji Yamato, Kazuhiro Otsuka, 2007, ICMI '07.

A spatio-temporal fastICA algorithm for separating convolutive mixtures

Hiroshi Sawada, Scott C. Douglas, Shoji Makino, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Blind source separation with optimal transport non-negative matrix factorization

Hiroshi Sawada, Vivien Seguy, Mathieu Blondel, 2018, EURASIP Journal on Advances in Signal Processing.

Non-negative multiple matrix factorization with Euclidean and kullback-leibler mixed divergences

Hiroshi Sawada, Tatsushi Matsubayashi, Masahiro Kohjima, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Semantic Data Representation for Improving Tensor Factorization

James A. Hendler, Hiroshi Sawada, Yasuhiro Fujiwara, 2014, AAAI.

Semantic sensitive tensor factorization

James A. Hendler, Hiroshi Sawada, Jinguang Zheng, 2016, Artif. Intell..

Tensor Factorization that Utilizes Semantics behind Objects

Hiroshi Sawada, Yasuhiro Fujiwara, James A. Hendler, 2015 .

Overcomplete BSS for Convolutive Mixtures Based on Hierarchical Clustering

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2004, ICA.

Grouping Separated Frequency Components by Estimating Propagation Model Parameters in Frequency-Domain Blind Source Separation

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2007, IEEE Transactions on Audio, Speech, and Language Processing.

A robust approach to the permutation problem of frequency-domain blind source separation

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

BLIND SOURCE SEPARATION AND DOA ESTIMATION USING SMALL 3-D MICROPHONE ARRAY

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2004 .

The signal separation evaluation campaign (2007-2010): Achievements and remaining challenges

Ngoc Q. K. Duong, Fabian J Theis, E. Vincent, 2012, Signal Process..

Blind Extraction of Dominant Target Sources Using ICA and Time-Frequency Masking

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2006, IEEE Transactions on Audio, Speech, and Language Processing.

Blind Speech Separation in a Meeting Situation with Maximum SNR Beamformers

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Multi-Frame Full-Rank Spatial Covariance Analysis for Underdetermined BSS in Reverberant Environments

T. Nakatani, K. Kinoshita, H. Sawada, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Experimental Analysis of EM and MU Algorithms for Optimizing Full-rank Spatial Covariance Model

Hiroshi Sawada, Tomohiro Nakatani, Rintaro Ikeshita, 2021, 2020 28th European Signal Processing Conference (EUSIPCO).

Computational Acceleration and Smart Initialization of Full-RANK Spatial Covariance Analysis

Hiroshi Sawada, Tomohiro Nakatani, Rintaro Ikeshita, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

Reducing musical noise by a fine-shift overlap-add method applied to source separation using a time-frequency mask

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Efficient algorithms for multichannel extensions of Itakura-Saito nonnegative matrix factorization

Hirokazu Kameoka, Naonori Ueda, Hiroshi Sawada, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Underdetermined BSS with multichannel complex NMF assuming W-disjoint orthogonality of source

Hirokazu Kameoka, Hiroshi Sawada, Shoko Araki, 2011, TENCON 2011 - 2011 IEEE Region 10 Conference.

Convolutive blind source separation for more than two sources in the frequency domain

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Blind Source Separation of Convolutive Mixtures of Speech in Frequency Domain

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2005, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Frequency-Domain Blind Source Separation

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2007, Blind Speech Separation.

Adaptive processing and learning for audio source separation

Jen-Tzung Chien, Hiroshi Sawada, Shoji Makino, 2013, 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference.

Audio source separation with multiple microphones on time-frequency representations

Hiroshi Sawada, H. Sawada, 2013, Defense, Security, and Sensing.

MLSP 2007 Data Analysis Competition: Frequency-Domain Blind Source Separation for Convolutive Mixtures of Speech/Audio Signals

S. Araki, H. Sawada, S. Makino, 2007, 2007 IEEE Workshop on Machine Learning for Signal Processing.

Spatio–Temporal FastICA Algorithms for the Blind Separation of Convolutive Mixtures

Hiroshi Sawada, Scott C. Douglas, Shoji Makino, 2007, IEEE Transactions on Audio, Speech, and Language Processing.

Blind separation and localization of speeches in a meeting situation

S. Araki, H. Sawada, R. Mukai, 2006, 2006 Fortieth Asilomar Conference on Signals, Systems and Computers.

Frequency-Domain Blind Source Separation

S. Araki, H. Sawada, S. Makino, 2007, Blind Speech Separation.

Solving the Permutation and Circularity Problems of Frequency-Domain Blind Source Separation

Hiroshi Sawada, Shoko Araki, Shoji Makino, 2003 .

Underdetermined source separation for colored sources

Hiroshi Sawada, Walter Kellermann, Shoji Makino, 2006, 2006 14th European Signal Processing Conference.

Non-negative Multiple Tensor Factorization

Koh Takeuchi, Hiroshi Sawada, Ryota Tomioka, 2013, 2013 IEEE 13th International Conference on Data Mining.