Noboru Murata

ORCID

Publication Activity (10 Years)

Years Active: 1992-2023
Publications (10 Years): 35

Top Venues

Publications

Tomohiro Inoue, Noboru Murata, Taiki Sugiura
Visualization of Learning Process in Feature Space. FLAIRS (2023)
Koji Nakao, Katsunari Yoshioka, Takayuki Sasaki, Rui Tanabe, Xuping Huang, Takeshi Takahashi, Akira Fujita, Jun'ichi Takeuchi, Noboru Murata, Junji Shikata, Kazuki Iwamoto, Kazuki Takada, Yuki Ishida, Masaru Takeuchi, Naoto Yanai
Mitigate: Toward Comprehensive Research and Development for Analyzing and Combating IoT Malware. IEICE Trans. Inf. Syst. 106 (9) (2023)
Mizuo Nagayama, Toshimitsu Aritake, Hideitsu Hino, Takeshi Kanda, Takehiro Miyazaki, Masashi Yanagisawa, Shotaro Akaho, Noboru Murata
Detecting cell assemblies by NMF-based clustering from calcium imaging data. Neural Networks 149 (2022)
Hideitsu Hino, Shotaro Akaho, Noboru Murata
Geometry of EM and related iterative algorithms. CoRR (2022)
Masaki Aota, Tao Ban, Takeshi Takahashi, Noboru Murata
Multi-label Positive and Unlabeled Learning and its Application to Common Vulnerabilities and Exposure Categorization. TrustCom (2021)
Toshimitsu Aritake, Hideitsu Hino, Shigeyuki Namiki, Daisuke Asanuma, Kenzo Hirose, Noboru Murata
Fast and robust multiplane single-molecule localization microscopy using a deep neural network. Neurocomputing 451 (2021)
Yuka Aoyagi, Noboru Murata, Hidetomo Sakaino
Spatio-Temporal Predictive Network for Videos With Physical Properties. CVPR Workshops (2021)
Takeshi Takahashi, Yuki Umemura, Chansu Han, Tao Ban, Keisuke Furumoto, Ohnori Nakamura, Katsunari Yoshioka, Jun'ichi Takeuchi, Noboru Murata, Yoshiaki Shiraishi
Designing Comprehensive Cyber Threat Analysis Platform: Can We Orchestrate Analysis Engines? PerCom Workshops (2021)
Masaki Aota, Hideaki Kanehara, Masaki Kubo, Noboru Murata, Bo Sun, Takeshi Takahashi
Automation of Vulnerability Classification from its Description using Machine Learning. ISCC (2020)
Yifan Sun, Noboru Murata
CAFM: A 3D Morphable Model for Animals. WACV Workshops (2020)
Toshimitsu Aritake, Hideitsu Hino, Shigeyuki Namiki, Daisuke Asanuma, Kenzo Hirose, Noboru Murata
Fast and robust multiplane single molecule localization microscopy using deep neural network. CoRR (2020)
Hideaki Kanehara, Yuma Murakami, Jumpei Shimamura, Takeshi Takahashi, Daisuke Inoue, Noboru Murata
Real-time botnet detection using nonnegative tucker decomposition. SAC (2019)
Shotaro Akaho, Hideitsu Hino, Noboru Murata
On a Convergence Property of a Geometrical Algorithm for Statistical Manifolds. ICONIP (5) (2019)
Hayato Watanabe, Hideitsu Hino, Shotaro Akaho, Noboru Murata
Retrieved Image Refinement by Bootstrap Outlier Test. CAIP (1) (2019)
Sho Sonoda, Noboru Murata
Transport Analysis of Infinitely Deep Neural Network. J. Mach. Learn. Res. 20 (2019)
Mizuo Nagayama, Toshimitsu Aritake, Hideitsu Hino, Takeshi Kanda, Takehiro Miyazaki, Masashi Yanagisawa, Shotaro Akaho, Noboru Murata
Sleep State Analysis Using Calcium Imaging Data by Non-negative Matrix Factorization. ICANN (1) (2019)
Shotaro Akaho, Hideitsu Hino, Noboru Murata
On a convergence property of a geometrical algorithm for statistical manifolds. CoRR (2019)
Toshimitsu Aritake, Noboru Murata
Learning Scale and Shift-Invariant Dictionary for Sparse Representation. LOD (2019)
Shotaro Akaho, Hideitsu Hino, Neneka Nara, Noboru Murata
Geometrical Formulation of the Nonnegative Matrix Factorization. ICONIP (3) (2018)
Sho Sonoda, Keita Nakamura, Yuki Kaneda, Hideitsu Hino, Shotaro Akaho, Noboru Murata, Eri Miyauchi, Masahiro Kawasaki
EEG dipole source localization with information criteria for multiple particle filters. Neural Networks 108 (2018)
Keishi Sando, Shotaro Akaho, Noboru Murata, Hideitsu Hino
Information Geometric Perspective of Modal Linear Regression. ICONIP (3) (2018)
Keita Nakamura, Sho Sonoda, Hideitsu Hino, Masahiro Kawasaki, Shotaro Akaho, Noboru Murata
Localizing Current Dipoles from EEG Data Using a Birth-Death Process. BIBM (2018)
Taishi Iwasaki, Hideitsu Hino, Masami Tatsuno, Shotaro Akaho, Noboru Murata
Estimation of neural connections from partially observed neural spikes. Neural Networks 108 (2018)
Sho Sonoda, Isao Ishikawa, Masahiro Ikeda, Kei Hagihara, Yoshihiro Sawano, Takuo Matsubara, Noboru Murata
Integral representation of the global minimizer. CoRR (2018)
Yu Fujimoto, Hiroshi Kikusato, Shinya Yoshizawa, Shunsuke Kawano, Akira Yoshida, Shinji Wakao, Noboru Murata, Yoshiharu Amano, Shin-ichi Tanabe, Yasuhiro Hayashi
Distributed Energy Management for Comprehensive Utilization of Residential Photovoltaic Outputs. IEEE Trans. Smart Grid 9 (2) (2018)
Sho Sonoda, Noboru Murata
Transportation analysis of denoising autoencoders: a novel method for analyzing deep neural networks. CoRR (2017)
Hideitsu Hino, Jun Fujiki, Shotaro Akaho, Noboru Murata
Local Intrinsic Dimension Estimation by Generalized Linear Modeling. Neural Comput. 29 (7) (2017)
Toshiyuki Kato, Hideitsu Hino, Noboru Murata
Double sparsity for multi-frame super resolution. Neurocomputing 240 (2017)
Hideitsu Hino, Ken Takano, Shotaro Akaho, Noboru Murata
Non-parametric e-mixture of Density Functions. ICONIP (2) (2016)
Ken Takano, Hideitsu Hino, Shotaro Akaho, Noboru Murata
-Mixture Estimation. Neural Comput. 28 (12) (2016)
Sho Sonoda, Noboru Murata
Decoding Stacked Denoising Autoencoders. CoRR (2016)
Shoma Tanaka, Yuki Kawamura, Masanori Kawakita, Noboru Murata, Jun'ichi Takeuchi
MDL Criterion for NMF with Application to Botnet Detection. ICONIP (1) (2016)
Hideitsu Hino, Shotaro Akaho, Noboru Murata
An Entropy Estimator Based on Polynomial Regression with Poisson Error Structure. ICONIP (2) (2016)
Kensuke Koshijima, Hideitsu Hino, Noboru Murata
Change-point detection in a sequence of bags-of-data. ICDE (2016)
Toshiyuki Kato, Hideitsu Hino, Noboru Murata
Doubly sparse structure in image super resolution. MLSP (2016)
Hideitsu Hino, Kensuke Koshijima, Noboru Murata
Non-parametric entropy estimators based on simple linear regression. Comput. Stat. Data Anal. 89 (2015)
Ken Takano, Hideitsu Hino, Yuki Yoshikawa, Noboru Murata
Patchworking Multiple Pairwise Distances for Learning with Distance Matrices. LVA/ICA (2015)
Noboru Murata, Ryuei Nishii, Hideyuki Takagi, Yan Pei
Analytical estimation of the convergence point of populations. CEC (2015)
Sho Sonoda, Noboru Murata
Neural Network with Unbounded Activations is Universal Approximator. CoRR (2015)
Toshiyuki Kato, Hideitsu Hino, Noboru Murata
Multi-frame image super resolution based on sparse coding. Neural Networks 66 (2015)
Toshiyuki Kato, Hideitsu Hino, Noboru Murata
Double Sparse Multi-Frame Image Super Resolution. CoRR (2015)
Kensuke Koshijima, Hideitsu Hino, Noboru Murata
Change-Point Detection in a Sequence of Bags-of-Data. IEEE Trans. Knowl. Data Eng. 27 (10) (2015)
Hideitsu Hino, Ken Takano, Noboru Murata
mmpp: A Package for Calculating Similarity and Distance Metrics for Simple and Marked Temporal Point Processes. R J. 7 (2) (2015)
Toshiyuki Kato, Hideitsu Hino, Noboru Murata
Sparse Coding Approach for Multi-Frame Image Super Resolution. CoRR (2014)
Atsushi Noda, Hideitsu Hino, Masami Tatsuno, Shotaro Akaho, Noboru Murata
Intrinsic Graph Structure Estimation Using Graph Laplacian. Neural Comput. 26 (7) (2014)
Sho Sonoda, Noboru Murata
Sampling Hidden Parameters from Oracle Distribution. ICANN (2014)
Hideitsu Hino, Noboru Murata
A Non-parametric Maximum Entropy Clustering. ICANN (2014)
Hideitsu Hino, Atsushi Noda, Masami Tatsuno, Shotaro Akaho, Noboru Murata
An Algorithm for Directed Graph Estimation. ICANN (2014)
Hideitsu Hino, Noboru Murata
A Nonparametric Clustering Algorithm with a Quantile-Based Likelihood Estimator. Neural Comput. 26 (9) (2014)
Hideitsu Hino, Noboru Murata
Information estimators for weighted observations. Neural Networks 46 (2013)
Hideitsu Hino, Jun Fujiki, Shotaro Akaho, Yoshihiko Mochizuki, Noboru Murata
Pairwise Similarity for Line Extraction from Distorted Images. CAIP (2) (2013)
Hideitsu Hino, Keigo Wakayama, Noboru Murata
Entropy-based sliced inverse regression. Comput. Stat. Data Anal. 67 (2013)
Hideitsu Hino, Haoyang Shen, Noboru Murata, Shinji Wakao, Yasuhiro Hayashi
A Versatile Clustering Method for Electricity Consumption Pattern Analysis in Households. IEEE Trans. Smart Grid 4 (2) (2013)
Sho Sonoda, Noboru Murata
Nonparametric Weight Initialization of Neural Networks via Integral Representation. CoRR (2013)
Toshimitsu Aritake, Hideitsu Hino, Noboru Murata
Learning Ancestral Atom via Sparse Coding. IEEE J. Sel. Top. Signal Process. 7 (4) (2013)
Yu Fujimoto, Noboru Murata
Nonnegative Matrix Factorization via Generalized Product Rule and Its Application for Classification. LVA/ICA (2012)
Jun Fujiki, Shotaro Akaho, Hideitsu Hino, Noboru Murata
Robust Hypersurface Fitting Based on Random Sampling Approximations. ICONIP (3) (2012)
Rui Jorge Rei, João Pedro Pedroso, Hideitsu Hino, Noboru Murata
A Tree Search Approach to Sparse Coding. LION (2012)
Hideitsu Hino, Keigo Wakayama, Noboru Murata
Sliced inverse regression with conditional entropy minimization. ICPR (2012)
Hideitsu Hino, Nima Reyhani, Noboru Murata
Multiple Kernel Learning with Gaussianity Measures. Neural Comput. 24 (7) (2012)
Yu Fujimoto, Noboru Murata
A generalisation of independence in statistical models for categorical distribution. Int. J. Data Min. Model. Manag. 4 (2) (2012)
Yu Fujimoto, Hideitsu Hino, Noboru Murata
Algorithm. Neural Comput. 23 (6) (2011)
Haoyang Shen, Hideitsu Hino, Noboru Murata, Shinji Wakao
A Measure of Credibility of Solar Power Prediction. ICMLA (2) (2011)
Tetsuji Ogawa, Hideitsu Hino, Nima Reyhani, Noboru Murata, Tetsunori Kobayashi
Speaker recognition using multiple kernel learning based on conditional entropy minimization. ICASSP (2011)
Hideitsu Hino, Noboru Murata
A Computationally Efficient Information Estimator for Weighted Data. ICANN (2) (2011)
Jun Fujiki, Hideitsu Hino, Shotaro Akaho, Noboru Murata
Calibration of radially symmetric distortion based on linearity in the calibrated image. ICCV Workshops (2011)
Jun Fujiki, Shotaro Akaho, Hideitsu Hino, Noboru Murata
Robust Hyperplane Fitting Based on k-th Power Deviation and α-Quantile. CAIP (1) (2011)
Tetsuji Ogawa, Hideitsu Hino, Noboru Murata, Tetsunori Kobayashi
Speaker Verification Robust to Talking Style Variation Using Multiple Kernel Learning Based on Conditional Entropy Minimization. INTERSPEECH (2011)
Haoyang Shen, Hideitsu Hino, Noboru Murata, Shinji Wakao
Extraction of Basic Patterns of Household Energy Consumption. ICMLA (2) (2011)
Yumi Usami, David G. Stork, Jun Fujiki, Hideitsu Hino, Shotaro Akaho, Noboru Murata
Improved methods for dewarping images in convex mirrors in fine art: applications to van Eyck and Parmigianino. Computer Vision and Image Analysis of Art (2011)
Jun Fujiki, Hideitsu Hino, Yumi Usami, Shotaro Akaho, Noboru Murata
Self-Calibration of Radially Symmetric Distortion by Model Selection. ICPR (2010)
Yu Fujimoto, Noboru Murata
A Generalization of Independence in Naive Bayes Model. IDEAL (2010)
Hideitsu Hino, Yu Fujimoto, Noboru Murata
A Grouped Ranking Model for Item Preference Parameter. Neural Comput. 22 (9) (2010)
Hideitsu Hino, Nima Reyhani, Noboru Murata
Multiple Kernel Learning by Conditional Entropy Minimization. ICMLA (2010)
Hideitsu Hino, Noboru Murata
A Conditional Entropy Minimization Criterion for Dimensionality Reduction and Multiple Kernel Learning. Neural Comput. 22 (11) (2010)
Hideitsu Hino, Yu Fujimoto, Noboru Murata
Item Preference Parameters from Grouped Ranking Observations. PAKDD (2009)
Hideitsu Hino, Yumi Usami, Jun Fujiki, Shotaro Akaho, Noboru Murata
Calibration of Radially Symmetric Distortion by Fitting Principal Component. CAIP (2009)
Yu Fujimoto, Hideitsu Hino, Noboru Murata
Item-user Preference Mapping with Mixture Models - Data Visualization for Item Preference. KDIR (2009)
Hideitsu Hino, Noboru Murata
An Information Theoretic Perspective of the Sparse Coding. ISNN (1) (2009)
Takashi Takenouchi, Shinto Eguchi, Noboru Murata, Takafumi Kanamori
Robust Boosting Algorithm Against Mislabeling in Multiclass Problems. Neural Comput. 20 (6) (2008)
Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi, Noboru Murata
Robust Loss Functions for Boosting. Neural Comput. 19 (8) (2007)
Takafumi Kanamori, Takashi Takenouchi, Noboru Murata
Geometrical Structure of Boosting Algorithm. New Gener. Comput. 25 (1) (2006)
Yu Fujimoto, Noboru Murata
Robust Estimation for Mixture of Probability Tables based on beta-likelihood. SDM (2006)
Kazushi Ikeda, Noboru Murata
Geometrical Properties of Nu Support Vector Machines with Different Norms. Neural Comput. 17 (11) (2005)
Kazushi Ikeda, Noboru Murata
Effects of norms on learning properties of support vector machines. ICASSP (5) (2005)
Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi, Noboru Murata
The Most Robust Loss Function for Boosting. ICONIP (2004)
Noboru Murata, Takashi Takenouchi, Takafumi Kanamori, Shinto Eguchi
Information Geometry of U-Boost and Bregman Divergence. Neural Comput. 16 (7) (2004)
Hyeyoung Park, Noboru Murata, Shun-ichi Amari
Improving Generalization Performance of Natural Gradient Learning Using Optimized Regularization by NIC. Neural Comput. 16 (2) (2004)
Jun Fujiki, Shotaro Akaho, Noboru Murata
Nonlinear PCA/ICA for the Structure from Motion Problem. ICA (2004)
Daisuke Ito, Noboru Murata
An Approach of Moment-Based Algorithm for Noisy ICA Models. ICA (2004)
Jianting Cao, Noboru Murata, Shun-ichi Amari, Andrzej Cichocki, Tsunehiro Takeda
A robust approach to independent component analysis of signals with high-level noise measurements. IEEE Trans. Neural Networks 14 (3) (2003)
Noboru Murata, Motoaki Kawanabe, Andreas Ziehe, Klaus-Robert Müller, Shun-ichi Amari
On-line learning in changing environments with applications in supervised and unsupervised learning. Neural Networks 15 (4-6) (2002)
Jianting Cao, Noboru Murata, Shun-ichi Amari, Andrzej Cichocki, Tsunehiro Takeda
Independent component analysis for unaveraged single-trial MEG data decomposition and single-dipole source localization. Neurocomputing 49 (1-4) (2002)
Noboru Murata, Shiro Ikeda, Andreas Ziehe
An approach to blind source separation based on temporal structure of speech signals. Neurocomputing 41 (1-4) (2001)
Tianping Chen, Shun-ichi Amari, Noboru Murata
Sequential Extraction of Minor Components. Neural Process. Lett. 13 (3) (2001)
João Pedro Pedroso, Noboru Murata
Support vector machines with different norms: motivation, formulations and results. Pattern Recognit. Lett. 22 (12) (2001)
João Pedro Pedroso, Noboru Murata
Optimization on Support Vector Machines. IJCNN (6) (2000)
Toshinao Akuzawa, Noboru Murata
Multiplicative Nonholonomic/Newton -like Algorithm CoRR (2000)
Si Wu, Hiroyuki Nakahara, Noboru Murata, Shun-ichi Amari
Population Decoding Based on an Unfaithful Model. NIPS (1999)
Noboru Murata, Shun-ichi Amari
Statistical analysis of learning dynamics. Signal Process. 74 (1) (1999)

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Publication Activity (10 Years)

Top Topics

Top Venues

Noboru Murata