Noboru Murata

According to our database, Noboru Murata authored at least 106 papers between 1992 and 2023.

Collaborative distances:

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

2023

Mitigate: Toward Comprehensive Research and Development for Analyzing and Combating IoT Malware.

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

IEICE Trans. Inf. Syst., September, 2023

Visualization of Learning Process in Feature Space.

Tomohiro Inoue, Noboru Murata, Taiki Sugiura

Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023

2022

Detecting cell assemblies by NMF-based clustering from calcium imaging data.

Mizuo Nagayama, Toshimitsu Aritake, Hideitsu Hino, Takeshi Kanda, Takehiro Miyazaki, Masashi Yanagisawa, Shotaro Akaho, Noboru Murata

Neural Networks, 2022

Geometry of EM and related iterative algorithms.

Hideitsu Hino, Shotaro Akaho, Noboru Murata

CoRR, 2022

2021

Fast and robust multiplane single-molecule localization microscopy using a deep neural network.

Toshimitsu Aritake, Hideitsu Hino, Shigeyuki Namiki, Daisuke Asanuma, Kenzo Hirose, Noboru Murata

Neurocomputing, 2021

Multi-label Positive and Unlabeled Learning and its Application to Common Vulnerabilities and Exposure Categorization.

Masaki Aota, Tao Ban, Takeshi Takahashi, Noboru Murata

Proceedings of the 20th IEEE International Conference on Trust, 2021

Designing Comprehensive Cyber Threat Analysis Platform: Can We Orchestrate Analysis Engines?

Takeshi Takahashi, Yuki Umemura, Chansu Han, Tao Ban, Keisuke Furumoto, Ohnori Nakamura, Katsunari Yoshioka, Jun'ichi Takeuchi, Noboru Murata, Yoshiaki Shiraishi

Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021

Spatio-Temporal Predictive Network for Videos With Physical Properties.

Yuka Aoyagi, Noboru Murata, Hidetomo Sakaino

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

CAFM: A 3D Morphable Model for Animals.

Yifan Sun, Noboru Murata

Proceedings of the IEEE Winter Applications of Computer Vision Workshops, 2020

Automation of Vulnerability Classification from its Description using Machine Learning.

Masaki Aota, Hideaki Kanehara, Masaki Kubo, Noboru Murata, Bo Sun, Takeshi Takahashi

Proceedings of the IEEE Symposium on Computers and Communications, 2020

2019

Transport Analysis of Infinitely Deep Neural Network.

Sho Sonoda, Noboru Murata

J. Mach. Learn. Res., 2019

Real-time botnet detection using nonnegative tucker decomposition.

Hideaki Kanehara, Yuma Murakami, Jumpei Shimamura, Takeshi Takahashi, Daisuke Inoue, Noboru Murata

Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

Learning Scale and Shift-Invariant Dictionary for Sparse Representation.

Toshimitsu Aritake, Noboru Murata

Proceedings of the Machine Learning, Optimization, and Data Science, 2019

On a Convergence Property of a Geometrical Algorithm for Statistical Manifolds.

Shotaro Akaho, Hideitsu Hino, Noboru Murata

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

Sleep State Analysis Using Calcium Imaging Data by Non-negative Matrix Factorization.

Mizuo Nagayama, Toshimitsu Aritake, Hideitsu Hino, Takeshi Kanda, Takehiro Miyazaki, Masashi Yanagisawa, Shotaro Akaho, Noboru Murata

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

Retrieved Image Refinement by Bootstrap Outlier Test.

Hayato Watanabe, Hideitsu Hino, Shotaro Akaho, Noboru Murata

Proceedings of the Computer Analysis of Images and Patterns, 2019

2018

Distributed Energy Management for Comprehensive Utilization of Residential Photovoltaic Outputs.

Yu Fujimoto, Hiroshi Kikusato, Shinya Yoshizawa, Shunsuke Kawano, Akira Yoshida, Shinji Wakao, Noboru Murata, Yoshiharu Amano, Shin-ichi Tanabe, Yasuhiro Hayashi

IEEE Trans. Smart Grid, 2018

EEG dipole source localization with information criteria for multiple particle filters.

Sho Sonoda, Keita Nakamura, Yuki Kaneda, Hideitsu Hino, Shotaro Akaho, Noboru Murata, Eri Miyauchi, Masahiro Kawasaki

Neural Networks, 2018

Estimation of neural connections from partially observed neural spikes.

Taishi Iwasaki, Hideitsu Hino, Masami Tatsuno, Shotaro Akaho, Noboru Murata

Neural Networks, 2018

Integral representation of the global minimizer.

Sho Sonoda, Isao Ishikawa, Masahiro Ikeda, Kei Hagihara, Yoshihiro Sawano, Takuo Matsubara, Noboru Murata

CoRR, 2018

Information Geometric Perspective of Modal Linear Regression.

Keishi Sando, Shotaro Akaho, Noboru Murata, Hideitsu Hino

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Geometrical Formulation of the Nonnegative Matrix Factorization.

Shotaro Akaho, Hideitsu Hino, Neneka Nara, Noboru Murata

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Localizing Current Dipoles from EEG Data Using a Birth-Death Process.

Keita Nakamura, Sho Sonoda, Hideitsu Hino, Masahiro Kawasaki, Shotaro Akaho, Noboru Murata

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

Local Intrinsic Dimension Estimation by Generalized Linear Modeling.

Hideitsu Hino, Jun Fujiki, Shotaro Akaho, Noboru Murata

Neural Comput., 2017

Double sparsity for multi-frame super resolution.

Toshiyuki Kato, Hideitsu Hino, Noboru Murata

Neurocomputing, 2017

Transportation analysis of denoising autoencoders: a novel method for analyzing deep neural networks.

Sho Sonoda, Noboru Murata

CoRR, 2017

2016

Nonparametric <i>e</i>-Mixture Estimation.

Ken Takano, Hideitsu Hino, Shotaro Akaho, Noboru Murata

Neural Comput., 2016

Decoding Stacked Denoising Autoencoders.

Sho Sonoda, Noboru Murata

CoRR, 2016

Doubly sparse structure in image super resolution.

Toshiyuki Kato, Hideitsu Hino, Noboru Murata

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

MDL Criterion for NMF with Application to Botnet Detection.

Shoma Tanaka, Yuki Kawamura, Masanori Kawakita, Noboru Murata, Jun'ichi Takeuchi

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Non-parametric e-mixture of Density Functions.

Hideitsu Hino, Ken Takano, Shotaro Akaho, Noboru Murata

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

An Entropy Estimator Based on Polynomial Regression with Poisson Error Structure.

Hideitsu Hino, Shotaro Akaho, Noboru Murata

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015

Change-Point Detection in a Sequence of Bags-of-Data.

Kensuke Koshijima, Hideitsu Hino, Noboru Murata

IEEE Trans. Knowl. Data Eng., 2015

mmpp: A Package for Calculating Similarity and Distance Metrics for Simple and Marked Temporal Point Processes.

Hideitsu Hino, Ken Takano, Noboru Murata

R J., 2015

Multi-frame image super resolution based on sparse coding.

Toshiyuki Kato, Hideitsu Hino, Noboru Murata

Neural Networks, 2015

Non-parametric entropy estimators based on simple linear regression.

Hideitsu Hino, Kensuke Koshijima, Noboru Murata

Comput. Stat. Data Anal., 2015

Neural Network with Unbounded Activations is Universal Approximator.

Sho Sonoda, Noboru Murata

CoRR, 2015

Double Sparse Multi-Frame Image Super Resolution.

Toshiyuki Kato, Hideitsu Hino, Noboru Murata

CoRR, 2015

Patchworking Multiple Pairwise Distances for Learning with Distance Matrices.

Ken Takano, Hideitsu Hino, Yuki Yoshikawa, Noboru Murata

Proceedings of the Latent Variable Analysis and Signal Separation, 2015

Analytical estimation of the convergence point of populations.

Noboru Murata, Ryuei Nishii, Hideyuki Takagi, Yan Pei

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

Intrinsic Graph Structure Estimation Using Graph Laplacian.

Atsushi Noda, Hideitsu Hino, Masami Tatsuno, Shotaro Akaho, Noboru Murata

Neural Comput., 2014

A Nonparametric Clustering Algorithm with a Quantile-Based Likelihood Estimator.

Hideitsu Hino, Noboru Murata

Neural Comput., 2014

Sparse Coding Approach for Multi-Frame Image Super Resolution.

Toshiyuki Kato, Hideitsu Hino, Noboru Murata

CoRR, 2014

Sampling Hidden Parameters from Oracle Distribution.

Sho Sonoda, Noboru Murata

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

An Algorithm for Directed Graph Estimation.

Hideitsu Hino, Atsushi Noda, Masami Tatsuno, Shotaro Akaho, Noboru Murata

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

A Non-parametric Maximum Entropy Clustering.

Hideitsu Hino, Noboru Murata

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

2013

A Versatile Clustering Method for Electricity Consumption Pattern Analysis in Households.

Hideitsu Hino, Haoyang Shen, Noboru Murata, Shinji Wakao, Yasuhiro Hayashi

IEEE Trans. Smart Grid, 2013

Information estimators for weighted observations.

Hideitsu Hino, Noboru Murata

Neural Networks, 2013

Learning Ancestral Atom via Sparse Coding.

Toshimitsu Aritake, Hideitsu Hino, Noboru Murata

IEEE J. Sel. Top. Signal Process., 2013

Entropy-based sliced inverse regression.

Hideitsu Hino, Keigo Wakayama, Noboru Murata

Comput. Stat. Data Anal., 2013

Nonparametric Weight Initialization of Neural Networks via Integral Representation.

Sho Sonoda, Noboru Murata

CoRR, 2013

Pairwise Similarity for Line Extraction from Distorted Images.

Hideitsu Hino, Jun Fujiki, Shotaro Akaho, Yoshihiko Mochizuki, Noboru Murata

Proceedings of the Computer Analysis of Images and Patterns, 2013

2012

Multiple Kernel Learning with Gaussianity Measures.

Hideitsu Hino, Nima Reyhani, Noboru Murata

Neural Comput., 2012

A generalisation of independence in statistical models for categorical distribution.

Yu Fujimoto, Noboru Murata

Int. J. Data Min. Model. Manag., 2012

A Tree Search Approach to Sparse Coding.

Rui Jorge Rei, João Pedro Pedroso, Hideitsu Hino, Noboru Murata

Proceedings of the Learning and Intelligent Optimization - 6th International Conference, 2012

Sliced inverse regression with conditional entropy minimization.

Hideitsu Hino, Keigo Wakayama, Noboru Murata

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Robust Hypersurface Fitting Based on Random Sampling Approximations.

Jun Fujiki, Shotaro Akaho, Hideitsu Hino, Noboru Murata

Proceedings of the Neural Information Processing - 19th International Conference, 2012

Nonnegative Matrix Factorization via Generalized Product Rule and Its Application for Classification.

Yu Fujimoto, Noboru Murata

Proceedings of the Latent Variable Analysis and Signal Separation, 2012

2011

An Estimation of Generalized Bradley-Terry Models Based on the <i>em</i> Algorithm.

Yu Fujimoto, Hideitsu Hino, Noboru Murata

Neural Comput., 2011

Speaker Verification Robust to Talking Style Variation Using Multiple Kernel Learning Based on Conditional Entropy Minimization.

Tetsuji Ogawa, Hideitsu Hino, Noboru Murata, Tetsunori Kobayashi

Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

A Measure of Credibility of Solar Power Prediction.

Haoyang Shen, Hideitsu Hino, Noboru Murata, Shinji Wakao

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Extraction of Basic Patterns of Household Energy Consumption.

Haoyang Shen, Hideitsu Hino, Noboru Murata, Shinji Wakao

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Calibration of radially symmetric distortion based on linearity in the calibrated image.

Jun Fujiki, Hideitsu Hino, Shotaro Akaho, Noboru Murata

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Speaker recognition using multiple kernel learning based on conditional entropy minimization.

Tetsuji Ogawa, Hideitsu Hino, Nima Reyhani, Noboru Murata, Tetsunori Kobayashi

Proceedings of the IEEE International Conference on Acoustics, 2011

A Computationally Efficient Information Estimator for Weighted Data.

Hideitsu Hino, Noboru Murata

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Improved methods for dewarping images in convex mirrors in fine art: applications to van Eyck and Parmigianino.

Yumi Usami, David G. Stork, Jun Fujiki, Hideitsu Hino, Shotaro Akaho, Noboru Murata

Proceedings of the Computer Vision and Image Analysis of Art II, San Francisco Airport, 2011

Robust Hyperplane Fitting Based on k-th Power Deviation and α-Quantile.

Jun Fujiki, Shotaro Akaho, Hideitsu Hino, Noboru Murata

Proceedings of the Computer Analysis of Images and Patterns, 2011

2010

A Conditional Entropy Minimization Criterion for Dimensionality Reduction and Multiple Kernel Learning.

Hideitsu Hino, Noboru Murata

Neural Comput., 2010

A Grouped Ranking Model for Item Preference Parameter.

Hideitsu Hino, Yu Fujimoto, Noboru Murata

Neural Comput., 2010

A Generalization of Independence in Naive Bayes Model.

Yu Fujimoto, Noboru Murata

Proceedings of the Intelligent Data Engineering and Automated Learning, 2010

Self-Calibration of Radially Symmetric Distortion by Model Selection.

Jun Fujiki, Hideitsu Hino, Yumi Usami, Shotaro Akaho, Noboru Murata

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Multiple Kernel Learning by Conditional Entropy Minimization.

Hideitsu Hino, Nima Reyhani, Noboru Murata

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2009

Item Preference Parameters from Grouped Ranking Observations.

Hideitsu Hino, Yu Fujimoto, Noboru Murata

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

An Information Theoretic Perspective of the Sparse Coding.

Hideitsu Hino, Noboru Murata

Proceedings of the Advances in Neural Networks, 2009

Item-user Preference Mapping with Mixture Models - Data Visualization for Item Preference.

Yu Fujimoto, Hideitsu Hino, Noboru Murata

Proceedings of the KDIR 2009 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Funchal, 2009

Calibration of Radially Symmetric Distortion by Fitting Principal Component.

Hideitsu Hino, Yumi Usami, Jun Fujiki, Shotaro Akaho, Noboru Murata

Proceedings of the Computer Analysis of Images and Patterns, 13th International Conference, 2009

2008

Robust Boosting Algorithm Against Mislabeling in Multiclass Problems.

Takashi Takenouchi, Shinto Eguchi, Noboru Murata, Takafumi Kanamori

Neural Comput., 2008

2007

Robust Loss Functions for Boosting.

Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi, Noboru Murata

Neural Comput., 2007

2006

Geometrical Structure of Boosting Algorithm.

Takafumi Kanamori, Takashi Takenouchi, Noboru Murata

New Gener. Comput., 2006

Robust Estimation for Mixture of Probability Tables based on beta-likelihood.

Yu Fujimoto, Noboru Murata

Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

2005

Geometrical Properties of Nu Support Vector Machines with Different Norms.

Kazushi Ikeda, Noboru Murata

Neural Comput., 2005

Effects of norms on learning properties of support vector machines.

Kazushi Ikeda, Noboru Murata

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004

Improving Generalization Performance of Natural Gradient Learning Using Optimized Regularization by NIC.

Hyeyoung Park, Noboru Murata, Shun-ichi Amari

Neural Comput., 2004

Information Geometry of U-Boost and Bregman Divergence.

Noboru Murata, Takashi Takenouchi, Takafumi Kanamori, Shinto Eguchi

Neural Comput., 2004

The Most Robust Loss Function for Boosting.

Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi, Noboru Murata

Proceedings of the Neural Information Processing, 11th International Conference, 2004

An Approach of Moment-Based Algorithm for Noisy ICA Models.

Daisuke Ito, Noboru Murata

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Nonlinear PCA/ICA for the Structure from Motion Problem.

Jun Fujiki, Shotaro Akaho, Noboru Murata

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

2003

A robust approach to independent component analysis of signals with high-level noise measurements.

Jianting Cao, Noboru Murata, Shun-ichi Amari, Andrzej Cichocki, Tsunehiro Takeda

IEEE Trans. Neural Networks, 2003

2002

On-line learning in changing environments with applications in supervised and unsupervised learning.

Noboru Murata, Motoaki Kawanabe, Andreas Ziehe, Klaus-Robert Müller, Shun-ichi Amari

Neural Networks, 2002

Independent component analysis for unaveraged single-trial MEG data decomposition and single-dipole source localization.

Jianting Cao, Noboru Murata, Shun-ichi Amari, Andrzej Cichocki, Tsunehiro Takeda

Neurocomputing, 2002

2001

Support vector machines with different norms: motivation, formulations and results.

João Pedro Pedroso, Noboru Murata

Pattern Recognit. Lett., 2001

Sequential Extraction of Minor Components.

Tianping Chen, Shun-ichi Amari, Noboru Murata

Neural Process. Lett., 2001

An approach to blind source separation based on temporal structure of speech signals.

Noboru Murata, Shiro Ikeda, Andreas Ziehe

Neurocomputing, 2001

2000

Multiplicative Nonholonomic/Newton -like Algorithm

Toshinao Akuzawa, Noboru Murata

CoRR, 2000

Optimization on Support Vector Machines.

João Pedro Pedroso, Noboru Murata

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

Statistical analysis of learning dynamics.

Noboru Murata, Shun-ichi Amari

Signal Process., 1999

Population Decoding Based on an Unfaithful Model.

Si Wu, Hiroyuki Nakahara, Noboru Murata, Shun-ichi Amari

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1997

Asymptotic statistical theory of overtraining and cross-validation.

Shun-ichi Amari, Noboru Murata, Klaus-Robert Müller, Michael Finke, Howard Hua Yang

IEEE Trans. Neural Networks, 1997

Statistical Analysis of Regularization Constant - From Bayes, MDL and NIC Points of View.

Shun-ichi Amari, Noboru Murata

Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997

1996

An Integral Representation of Functions Using Three-layered Networks and Their Approximation Bounds.

Noboru Murata

Neural Networks, 1996

A Numerical Study on Learning Curves in Stochastic Multilayer Feedforward Networks.

Klaus-Robert Müller, Michael Finke, Noboru Murata, Klaus Schulten, Shun-ichi Amari

Neural Comput., 1996

Adaptive On-line Learning in Changing Environments.

Noboru Murata, Klaus-Robert Müller, Andreas Ziehe, Shun-ichi Amari

Proceedings of the Advances in Neural Information Processing Systems 9, 1996

1995

Statistical Theory of Overtraining - Is Cross-Validation Asymptotically Effective?

Shun-ichi Amari, Noboru Murata, Klaus-Robert Müller, Michael Finke, Howard Hua Yang

Proceedings of the Advances in Neural Information Processing Systems 8, 1995

1994

Network information criterion-determining the number of hidden units for an artificial neural network model.

Noboru Murata, Shuji Yoshizawa, Shun-ichi Amari

IEEE Trans. Neural Networks, 1994

1993

Statistical Theory of Learning Curves under Entropic Loss Criterion.

Shun-ichi Amari, Noboru Murata

Neural Comput., 1993

1992

Learning Curves, Model Selection and Complexity of Neural Networks.

Noboru Murata, Shuji Yoshizawa, Shun-ichi Amari

Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992