Professional Memberships

The Iron and Steel Institute of Japan

計測自動制御学会

電子情報通信学会
Details of a Researcher
Updated on 2024/05/23
The Iron and Steel Institute of Japan
計測自動制御学会
電子情報通信学会
Mathematical engineering
Takeshi Kanda, Toshimitsu Aritake, Kaoru Ohyama, Kaspar E Vogt, Yuichi Makino, Thomas McHugh, Hideitsu Hino, Shotaro Akaho, Noboru Murata
2023.07
Geometry of EM and related iterative algorithms
Hideitsu Hino, Shotaro Akaho, Noboru Murata
Information Geometry 2022.11 [Refereed] [International journal]
Designing Comprehensive Cyber Threat Analysis Platform: Can We Orchestrate Analysis Engines?
Takeshi Takahashi 0001, Yuki Umemura, Chansu Han, Tao Ban, Keisuke Furumoto, Ohnori Nakamura, Katsunari Yoshioka, Jun'ichi Takeuchi, Noboru Murata, Yoshiaki Shiraishi
19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events 376  379 2021
Automation of Vulnerability Classification from its Description using Machine Learning.
Masaki Aota, Hideaki Kanehara, Masaki Kubo, Noboru Murata, Bo Sun, Takeshi Takahashi 0001
IEEE Symposium on Computers and Communications(ISCC) 1  7 2020
非負値行列因子分解を用いたカルシウムイメージングデータからの睡眠状態解析
永山瑞生, 有竹俊光, 日野英逸, 上田壮志, 宮崎峻弘, 柳沢正史, 赤穂昭太郎, 村田昇
情報論的学習理論と機械学習研究会 (IBISML) 2019.06
Learning Scale and ShiftInvariant Dictionary for Sparse Representation
Aritake, T., Murata, N.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 11943 LNCS 2019
On a Convergence Property of a Geometrical Algorithm for Statistical Manifolds
Shotaro Akaho, Hideitsu Hino, Noboru Murata
Communications in Computer and Information Science 262  272 2019
Realtime botnet detection using nonnegative tucker decomposition.
Hideaki Kanehara, Yuma Murakami, Jumpei Shimamura, Takeshi Takahashi 0001, Daisuke Inoue, Noboru Murata
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing(SAC) 1337  1344 2019
Transport Analysis of Infinitely Deep Neural Network
Sho Sonoda, Noboru Murata
Journal of Machine Learning Research 20 ( 2 ) 1  52 2019 [Refereed]
Sleep State Analysis using Calcium Imaging Data by Nonnegative Matrix Factorization.
Nagayama, Mizuo, Aritake, Toshimitsu, Hino, Hideitsu, Kanda, Takeshi, Miyazaki, Takehiro, Yanagisawa, Masashi, Akaho, Shotaro, Murata, Noboru
Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation. 11727 102  113 2019 [Refereed]
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 : the official journal of the International Neural Network Society 108 68  82 2018.12 [Refereed] [International journal]
Temporal Interpolation of Gridded Solar Radiation Data for Evaluation of PV Fluctuations
Daigo Hirooka, Noboru Murata, Yu Fujimoto, Yasuhiro Hayashi
Energy Procedia 155 259  268 2018.11 [Refereed]
Estimationofneuralconnectionsfrompartiallyobservedneuralspikes
Taishi Iwasaki, Hideitsu Hino, Masami Tatsuno, Shotaro Akaho, Noboru Murata
Neural Networks 108 172  191 2018.08 [Refereed]
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, Shinichi Tanabe, Yasuhiro Hayashi
IEEE TRANSACTIONS ON SMART GRID 9 ( 2 ) 1216  1227 2018.03 [Refereed]
Estimation of neural connections from partially observed neural spikes
Iwasaki T, Hino H, Tatsuno M, Akaho S, Murata N
Neural Networks 108 172  191 2018 [Refereed]
Integral representation of the global minimizer.
Sho Sonoda, Isao Ishikawa, Masahiro Ikeda, Kei Hagihara, Yoshihiro Sawano, Takuo Matsubara, Noboru Murata
CoRR abs/1805.07517 2018 [Refereed]
Neural network with unbounded activation functions is universal approximator
Sho Sonoda, Noboru Murata
APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS 43 ( 2 ) 233  268 2017.09 [Refereed]
Local Intrinsic Dimension Estimation by Generalized Linear Modeling
Hideitsu Hino, Jun Fujiki, Shotaro Akaho, Noboru Murata
NEURAL COMPUTATION 29 ( 7 ) 1838  1878 2017.07 [Refereed]
Double sparsity for multiframe super resolution
Toshiyuki Kato, Hideitsu Hino, Noboru Murata
NEUROCOMPUTING 240 115  126 2017.05 [Refereed]
TimeVarying Transition Probability Matrix Estimation and Its Application to Brand Share Analysis
Tomoaki Chiba, Hideitsu Hino, Shotaro Akaho, Noboru Murata
PLOS ONE 12 ( 1 ) 2017.01 [Refereed]
Nonparametric eMixture Estimation
Ken Takano, Hideitsu Hino, Shotaro Akaho, Noboru Murata
NEURAL COMPUTATION 28 ( 12 ) 2687  2725 2016.12 [Refereed]
Optical detection of neuron connectivity by random access twophoton microscopy
Nasrin Shafeghat, Morteza Heidarinejad, Noboru Murata, Hideki Nakamura, Takafumi Inoue
JOURNAL OF NEUROSCIENCE METHODS 263 48  56 2016.04 [Refereed]
Reproducing Statistical Property of Shortterm Fluctuation in Wind Power Profiles
Seigo Furuya, Yu Fujimoto, Noboru Murata, Yasuhiro Hayashi
10TH INTERNATIONAL RENEWABLE ENERGY STORAGE CONFERENCE, IRES 2016 99 130  136 2016 [Refereed]
Nonparametric emixture of Density Functions
Hideitsu Hino, Ken Takano, Shotaro Akaho, Noboru Murata
NEURAL INFORMATION PROCESSING, ICONIP 2016, PT II 9948 3  10 2016 [Refereed]
MDL Criterion for NMF with Application to Botnet Detection
Shoma Tanaka, Yuki Kawamura, Masanori Kawakita, Noboru Murata, Jun'ichi Takeuchi
NEURAL INFORMATION PROCESSING, ICONIP 2016, PT I 9947 570  578 2016 [Refereed]
Graph structure modeling for multineuronal spike data
Shotaro Akaho, Sho Higuchi, Taishi Iwasaki, Hideitsu Hino, Masami Tatsuno, Noboru Murata
INTERNATIONAL MEETING ON HIGHDIMENSIONAL DATADRIVEN SCIENCE (HD32015) 699 ( 1 ) 2016 [Refereed]
DOUBLY SPARSE STRUCTURE IN IMAGE SUPER RESOLUTION
Toshiyuki Kato, Hideitsu Hino, Noboru Murata
2016 IEEE 26TH INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP) 2016November 2016 [Refereed]
ChangePoint Detection in a Sequence of BagsofData
Kensuke Koshijima, Hideitsu Hino, Noboru Murata
2016 32ND IEEE INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE) 1560  1561 2016 [Refereed]
An Entropy Estimator Based on Polynomial Regression with Poisson Error Structure
Hideitsu Hino, Shotaro Akaho, Noboru Murata
NEURAL INFORMATION PROCESSING, ICONIP 2016, PT II 9948 11  19 2016 [Refereed]
Hideitsu Hino, Ken Takano, Noboru Murata
R JOURNAL 7 ( 2 ) 237  248 2015.12 [Refereed]
ChangePoint Detection in a Sequence of BagsofData
Kensuke Koshijima, Hideitsu Hino, Noboru Murata
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 27 ( 10 ) 2632  2644 2015.10 [Refereed]
Nonparametric entropy estimators based on simple linear regression
Hideitsu Hino, Kensuke Koshijima, Noboru Murata
COMPUTATIONAL STATISTICS & DATA ANALYSIS 89 72  84 2015.09 [Refereed]
Multiframe image super resolution based on sparse coding
Toshiyuki Kato, Hideitsu Hino, Noboru Murata
NEURAL NETWORKS 66 64  78 2015.06 [Refereed]
Patchworking Multiple Pairwise Distances for Learning with Distance Matrices
Ken Takano, Hideitsu Hino, Yuki Yoshikawa, Noboru Murata
LATENT VARIABLE ANALYSIS AND SIGNAL SEPARATION, LVA/ICA 2015 9237 287  294 2015 [Refereed]
Yoshida A, Yoshikawa J, Murata N, Amano Y
ICOPE 2015  International Conference on Power Engineering 2015 [Refereed]
Ogata R, Yoshida A, Fujimoto Y, Murata N, Wakao S, Tanabe S.I, Amano Y
ECOS 2015  28th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems 2015 [Refereed]
Analytical Estimation of the Convergence Point of Populations
Noboru Murata, Ryuei Nishii, Hideyuki Takagi, Yan Pei
2015 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) 2619  2624 2015 [Refereed]
Advantage of a home energy management systems for PV utilization connected to grid
Yoshida A, Yoshizawa S, Fujimoto Y, Murata N, Wakao S, Tanabe S.I, Hayashi Y, Amano Y
ECOS 2015  28th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems 2015 [Refereed]
Advantage of a home energy management system for PV utilization connected to grid
Yoshida A, Yoshizawa S, Fujimoto Y, Murata N, Wakao S, Tanabe S.I, Hayashi Y, Amano Y
ECOS 2015  28th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems 2015 [Refereed]
Iftikhar Ahmad, Manabu Kano, Shinji Hasebe, Hiroshi Kitada, Noboru Murata
JOURNAL OF CHEMICAL ENGINEERING OF JAPAN 47 ( 11 ) 827  834 2014.11 [Refereed]
A Nonparametric Clustering Algorithm with a QuantileBased Likelihood Estimator
Hideitsu Hino, Noboru Murata
NEURAL COMPUTATION 26 ( 9 ) 2074  2101 2014.09 [Refereed]
Intrinsic Graph Structure Estimation Using Graph Laplacian
Atsushi Noda, Hideitsu Hino, Masami Tatsuno, Shotaro Akaho, Noboru Murata
NEURAL COMPUTATION 26 ( 7 ) 1455  1483 2014.07 [Refereed]
Graybox modeling for prediction and control of molten steel temperature in tundish
Iftikhar Ahmad, Manabu Kano, Shinji Hasebe, Hiroshi Kitada, Noboru Murata
JOURNAL OF PROCESS CONTROL 24 ( 4 ) 375  382 2014.04 [Refereed]
KNearest Neighbor Approach for Forecasting Energy Demands Based on Metric Learning
Yu Fujimoto, Taiki Sugiura, Noboru Murata
INTERNATIONAL WORKCONFERENCE ON TIME SERIES (ITISE 2014) 1127  1137 2014 [Refereed]
Sampling hidden parameters from oracle distribution
Sho Sonoda, Noboru Murata
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 8681 539  546 2014 [Refereed]
Sampling hidden parameters from oracle distribution
Sonoda S, Murata N
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 8681 LNCS 539  546 2014 [Refereed]
An algorithm for directed graph estimation
Hideitsu Hino, Atsushi Noda, Masami Tatsuno, Shotaro Akaho, Noboru Murata
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 8681 145  152 2014 [Refereed]
An algorithm for directed graph estimation
Hideitsu Hino, Atsushi Noda, Masami Tatsuno, Shotaro Akaho, Noboru Murata
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 8681 145  152 2014 [Refereed]
A nonparametric maximum entropy clustering
Hideitsu Hino, Noboru Murata
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 8681 113  120 2014 [Refereed]
A nonparametric maximum entropy clustering
Hideitsu Hino, Noboru Murata
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 8681 113  120 2014 [Refereed]
Information estimators for weighted observations
Hideitsu Hino, Noboru Murata
NEURAL NETWORKS 46 260  275 2013.10 [Refereed]
Learning Ancestral Atom via Sparse Coding
Toshimitsu Aritake, Hideitsu Hino, Noboru Murata
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING 7 ( 4 ) 586  594 2013.08 [Refereed]
Defining a pairwise similarity measure based on linearity : Application to line extraction from distorted image
HINO Hideitsu, FUJIKI Jun, AKAHO Shotaro, MOCHIZUKI Yoshihiko, MURATA Noboru
Technical report of IEICE. PRMU 113 ( 75 ) 29  34 2013.06
Regions of Unusually High Flexibility Occur Frequently in Human Genomic DNA
Hajime Kimura, Dai Kageyama, Mika Furuya, Shigeru Sugiyama, Noboru Murata, Takashi Ohyama
BIOSCIENCE BIOTECHNOLOGY AND BIOCHEMISTRY 77 ( 3 ) 612  617 2013.03 [Refereed]
Pairwise similarity for line extraction from distorted images
Hideitsu Hino, Jun Fujiki, Shotaro Akaho, Yoshihiko Mochizuki, Noboru Murata
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 8048 ( 2 ) 250  257 2013 [Refereed]
HighPerformance Prediction of Molten Steel Temperature in Tundish through GrayBox Model
Toshinori Okura, Iftikhar Ahmad, Manabu Kano, Shinji Hasebe, Hiroshi Kitada, Noboru Murata
ISIJ INTERNATIONAL 53 ( 1 ) 76  80 2013 [Refereed]
Entropybased sliced inverse regression
Hideitsu Hino, Keigo Wakayama, Noboru Murata
Computational Statistics and Data Analysis 67 105  114 2013 [Refereed]
Design of inner and outer graybox models to predict molten steel temperature in Tundish
Iftikhar Ahmad, Manabu Kano, Shinji Hasebe, Hiroshi Kitada, Noboru Murata
IFAC Proceedings Volumes (IFACPapersOnline) 10 ( PART 1 ) 744  749 2013 [Refereed]
A versatile clustering method for electricity consumption pattern analysis in households
Hideitsu Hino, Haoyang Shen, Noboru Murata, Shinji Wakao, Yasuhiro Hayashi
IEEE Transactions on Smart Grid 4 ( 2 ) 1048  1057 2013 [Refereed]
Akira Yoshida, Yoshiharu Amano, Noboru Murata, Koichi Ito, Takumi Hasizume
Energies 6 ( 1 ) 374  399 2013 [Refereed]
Multiple Kernel Learning with Gaussianity Measures
Hideitsu Hino, Nima Reyhani, Noboru Murata
NEURAL COMPUTATION 24 ( 7 ) 1853  1881 2012.07 [Refereed]
Sliced Inverse Regression with Conditional Entropy Minimization
Hideitsu Hino, Keigo Wakayama, Noboru Murata
2012 21ST INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR 2012) 1185  1188 2012 [Refereed]
Sensitivity analysis for controlling molten steel temperature in Tundish
Noboru Murata, Sho Sonoda, Hideitsu Hino, Hiroshi Kitada, Manabu Kano
IFAC Proceedings Volumes (IFACPapersOnline) 45 ( 23 ) 270  271 2012 [Refereed]
Robust Hypersurface Fitting Based on Random Sampling Approximations
Jun Fujiki, Shotaro Akaho, Hideitsu Hino, Noboru Murata
NEURAL INFORMATION PROCESSING, ICONIP 2012, PT III 7665 ( PART 3 ) 520  527 2012 [Refereed]
Nonnegative matrix factorization via generalized product rule and its application for classification
Yu Fujimoto, Noboru Murata
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7191 263  271 2012 [Refereed]
Graybox model to control molten steel temperature in Tundish
S. Sakashita, T. Okura, I. Ahmad, M. Kano, H. Kitada, N. Murata
IFAC Proceedings Volumes (IFACPapersOnline) 45 ( 23 ) 268  269 2012 [Refereed]
Automatic Extraction of Basic Electricity Consumption Patterns in Household
Haoyang Shen, Hideitsu Hino, Noboru Murata, Shinji Wakao, Yasuhiro Hayashi
INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS (ICRERA) 2012 [Refereed]
A tree search approach to sparse coding
Rui Rei, João P. Pedroso, Hideitsu Hino, Noboru Murata
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7219 472  477 2012 [Refereed]
Sho Sonoda, Noboru Murata, Hideitsu Hino, Hiroshi Kitada, Manabu Kano
ISIJ INTERNATIONAL 52 ( 6 ) 1086  1091 2012 [Refereed]
A generalisation of independence in statistical models for categorical distribution
Yu Fujimoto, Noboru Murata
International Journal of Data Mining, Modelling and Management 4 ( 2 ) 172  187 2012 [Refereed]
Yoshida A, Amano Y, Murata N, Ito K, Hashizume T
Proceedings of the 25th International Conference on Efficiency, Cost, Optimization and Simulation of Energy Conversion Systems and Processes, ECOS 2012 3 1  16 2012 [Refereed]
An Estimation of Generalized BradleyTerry Models Based on the em Algorithm
Yu Fujimoto, Hideitsu Hino, Noboru Murata
NEURAL COMPUTATION 23 ( 6 ) 1623  1659 2011.06 [Refereed]
Tetsuji Ogawa, Hideitsu Hino, Noboru Murata, Tetsunori Kobayashi
12TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2011 (INTERSPEECH 2011), VOLS 15 2752  + 2011 [Refereed]
mn SPEAKER RECOGNITION USING MULTIPLE KERNEL LEARNING BA SED ON CONDITIONA L ENTROPY MINIMIZATION
Tetsuji Ogawa, Hideitsu Hino, Nima Reyhani, Noboru Murata, Tetsunori Kobayashi
2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING 2204  2207 2011 [Refereed]
Robust Hyperplane Fitting Based on kth Power Deviation and alphaQuantile
Jun Fujiki, Shotaro Akaho, Hideitsu Hino, Noboru Murata
COMPUTER ANALYSIS OF IMAGES AND PATTERNS: 14TH INTERNATIONAL CONFERENCE, CAIP 2011, PT I 6854 ( PART 1 ) 278  285 2011 [Refereed]
Yumi Usami, David G. Stork, Jun Fujiki, Hideitsu Hino, Shotaro Akaho, Noboru Murata
COMPUTER VISION AND IMAGE ANALYSIS OF ART II 7869 2011 [Refereed]
Extraction of basic patterns of household energy consumption
Haoyang Shen, Hideitsu Hino, Noboru Murata, Shinji Wakao
Proceedings  10th International Conference on Machine Learning and Applications, ICMLA 2011 2 275  280 2011 [Refereed]
Calibration of radially symmetric distortion based on linearity in the calibrated image
Jun Fujiki, Hideitsu Hino, Shotaro Akaho, Noboru Murata
2011 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCV WORKSHOPS) 288  295 2011 [Refereed]
A measure of credibility of solar power prediction
Haoyang Shen, Hideitsu Hino, Noboru Murata, Shinji Wakao
Proceedings  10th International Conference on Machine Learning and Applications, ICMLA 2011 2 286  291 2011 [Refereed]
A Computationally Efficient Information Estimator for Weighted Data
Hideitsu Hino, Noboru Murata
ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING  ICANN 2011, PT II 6792 ( PART 2 ) 301  308 2011 [Refereed]
Kazuhisa Ichikawa, Takashi Suzuki, Noboru Murata
PHYSICAL BIOLOGY 7 ( 4 ) 2010.12 [Refereed]
Hideitsu Hino, Noboru Murata
NEURAL COMPUTATION 22 ( 11 ) 2887  2923 2010.11 [Refereed]
A Grouped Ranking Model for Item Preference Parameter
Hideitsu Hino, Yu Fujimoto, Noboru Murata
NEURAL COMPUTATION 22 ( 9 ) 2417  2451 2010.09 [Refereed]
Selfcalibration of radially symmetric distortion by model selection
Jun Fujiki, Hideitsu Hino, Yumi Usami, Shotaro Akaho, Noboru Murata
Proceedings  International Conference on Pattern Recognition 1812  1815 2010 [Refereed]
Multiple kernel learning by conditional entropy minimization
Hideitsu Hino, Nima Reyhani, Noboru Murata
Proceedings  9th International Conference on Machine Learning and Applications, ICMLA 2010 223  228 2010 [Refereed]
Estimation of a rotationally symmetric mirror shape from a frontal image of the mirror
J. Fujiki, Y. Usami, H. Hino, S. Akaho, N. Murata
International Conference Image and Vision Computing New Zealand 2010 [Refereed]
A Generalization of Independence in Naive Bayes Model
Yu Fujimoto, Noboru Murata
INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING  IDEAL 2010 6283 153  + 2010 [Refereed]
Bregman divergence and density integration
Noboru Murata, Yu Fujimoto
Journal of MathforIndustry JMI2009B3 97  104 2009.10
Model selection and information criterion
Noboru Murata, Hyeyoung Park
Information Theory and Statistical Learning 333  354 2009 [Refereed]
ITEMUSER PREFERENCE MAPPING WITH MIXTURE MODELS Data Visualization for Item Preference
Yu Fujimoto, Hideitsu Hino, Noboru Murata
KDIR 2009: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND INFORMATION RETRIEVAL 105  + 2009 [Refereed]
Item Preference Parameters from Grouped Ranking Observations
Hideitsu Hino, Yu Fujimoto, Noboru Murata
ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS 5476 875  882 2009 [Refereed]
Calibration of Radially Symmetric Distortion by Fitting Principal Component
Hideitsu Hino, Yumi Usami, Jun Fujiki, Shotaro Akaho, Noboru Murata
COMPUTER ANALYSIS OF IMAGES AND PATTERNS, PROCEEDINGS 5702 149  + 2009 [Refereed]
An Information Theoretic Perspective of the Sparse Coding
Hideitsu Hino, Noboru Murata
ADVANCES IN NEURAL NETWORKS  ISNN 2009, PT 1, PROCEEDINGS 5551 ( PART 1 ) 84  93 2009 [Refereed]
Robust boosting algorithm against mislabeling in multiclass problems
Takashi Takenouchi, Shinto Eguchi, Noboru Murata, Takafumi Kanamori
NEURAL COMPUTATION 20 ( 6 ) 1596  1630 2008.06 [Refereed]
球面上の点列に対する連接小円回帰を用いたカメラ運動の平滑化
野田 容士, 藤木 淳, 村田 昇
電子情報通信学会論文誌 J91D ( 5 ) 1336  1348 2008.05
Neuromagnetic responses to chords are modified by preceding musical scale
Asuka Otsuka, Shinya Kuriki, Noboru Murata, Toshikazu Hasegawa
NEUROSCIENCE RESEARCH 60 ( 1 ) 50  55 2008.01 [Refereed]
A Generalized Product Rule and Weak Independence based on Bregman Divergence
Yu Fujimoto, Noboru Murata
WMSCI 2008: 12TH WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL V, PROCEEDINGS 5 248  253 2008 [Refereed]
Robust loss functions for boosting
Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi, Noboru Murata
NEURAL COMPUTATION 19 ( 8 ) 2183  2244 2007.08 [Refereed]
A modified EM algorithm for mixture models based on Bregman divergence
Yu Fujimoto, Noboru Murata
ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS 59 ( 1 ) 3  25 2007.03 [Refereed]
Tutorial series on braininspired computing Part 6: Geometrical structure of boosting algorithm
Takafumi Kanamori, Takashi Takenouchi, Noboru Murata
NEW GENERATION COMPUTING 25 ( 1 ) 117  141 2007 [Refereed]
Robust Estimation for Mixture of Probability Tables based on betalikelihood
Yu Fujimoto, Noboru Murata
PROCEEDINGS OF THE SIXTH SIAM INTERNATIONAL CONFERENCE ON DATA MINING 2006 519  523 2006 [Refereed]
Geometrical properties of Nu support vector machines with different norms
K Ikeda, N Murata
NEURAL COMPUTATION 17 ( 11 ) 2508  2529 2005.11 [Refereed]
A Gaussian process robust regression
N Murata, Y Kuroda
PROGRESS OF THEORETICAL PHYSICS SUPPLEMENT 157 ( 157 ) 280  283 2005 [Refereed]
Effects of norms on learning properties of support vector machines
K Ikeda, N Murata
2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 15 V 241  244 2005 [Refereed]
Information geometry of UBoost and Bregman divergence
N Murata, T Takenouchi, T Kanamori, S Eguchi
NEURAL COMPUTATION 16 ( 7 ) 1437  1481 2004.07 [Refereed]
独立性の検定を用いた,独立成分のグルーピング手法の提案
伊東 大祐, 向井 卓也, 村田 昇
日本生体磁気学会論文誌 16 ( 2 ) 23  31 2004.06
H Park, N Murata, S Amari
NEURAL COMPUTATION 16 ( 2 ) 355  382 2004.02 [Refereed]
The most robust loss function for boosting
T Kanamori, T Takenouchi, S Eguchi, N Murata
NEURAL INFORMATION PROCESSING 3316 496  501 2004 [Refereed]
Nonlinear PCA/ICA for the structure from motion problem
J Fujiki, S Akaho, N Murata
INDEPENDENT COMPONENT ANALYSIS AND BLIND SIGNAL SEPARATION 3195 750  757 2004 [Refereed]
Learning properties of support vector machines with pnorm
K Ikeda, N Murata
2004 47TH MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL III, CONFERENCE PROCEEDINGS 3 69  72 2004 [Refereed]
An approach of momentbased algorithm for noisy ICA models
D Ito, N Murata
INDEPENDENT COMPONENT ANALYSIS AND BLIND SIGNAL SEPARATION 3195 343  349 2004 [Refereed]
A robust approach to independent component analysis of signals with highlevel noise measurements
J Cao, N Murata, S Amari, A Cichocki, T Takeda
IEEE TRANSACTIONS ON NEURAL NETWORKS 14 ( 3 ) 631  645 2003.05 [Refereed]
JT Cao, N Murata, S Amari, A Cichocki, T Takeda
NEUROCOMPUTING 49 ( “14” ) 255  277 2002.12 [Refereed]
Online learning in changing environments with applications in supervised and unsupervised learning
N Murata, M Kawanabe, A Ziehe, KR Muller, S Amari
NEURAL NETWORKS 15 ( 46 ) 743  760 2002.06 [Refereed]
Support vector machines with different norms: motivation, formulations and results
JP Pedroso, N Murata
PATTERN RECOGNITION LETTERS 22 ( 12 ) 1263  1272 2001.10 [Refereed]
Multiplicative nonholonomic/Newtonlike algorithm
T Akuzawa, N Murata
CHAOS SOLITONS & FRACTALS 12 ( 4 ) 785  793 2001.03 [Refereed]
An approach to blind source separation based on temporal structure of speech signals
Noboru Murata, Shiro Ikeda, Andreas Ziehe
Neurocomputing 41 ( 14 ) 1  24 2001 [Refereed]
Sequential extraction of minor components
TP Chen, SI Amari, N Murata
NEURAL PROCESSING LETTERS 13 ( 3 ) 195  201 2001 [Refereed]
Singletrial magnetoencephalographic data decomposition and localization based on independent component analysis approach
JT Cao, N Murata, S Amari, A Cichocki, T Takeda, H Endo, N Harada
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES E83A ( 9 ) 1757  1766 2000.09
JT Cao, N Murata, S Amari, A Cichocki, T Takeda, H Endo, N Harada
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES E83A ( 9 ) 1757  1766 2000.09 [Refereed]
Jianting Cao, Noboru Murata, Andrew Cichocki
Journal of Signal Processing 4 ( 2 ) 131  140 2000.03
Optimisation on support vector machines
JP Pedroso, N Murata
IJCNN 2000: PROCEEDINGS OF THE IEEEINNSENNS INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOL VI 399  404 2000 [Refereed]
Population decoding based on an unfaithful model
S Wu, H Nakahara, N Murata, S Amari
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 12 12 192  198 2000 [Refereed]
A stable and robust ICA algorithm based on tdistribution and generalized Gaussian distribution models
Jianting Cao, Noboru Murata
Neural Networks for Signal Processing IX 283  292 1999.08
Statistical analysis of learning dynamics
N Murata, S Amari
SIGNAL PROCESSING 74 ( 1 ) 3  28 1999.04 [Refereed]
Stable and robust ICA algorithm based on tdistribution and generalized Gaussian distribution models
Cao Jianting, Murata Noboru
Neural Networks for Signal Processing  Proceedings of the IEEE Workshop ( 99 ) 283  292 1999 [Refereed]
Statistical study on online learning
Noboru Murata
In David Saad editor, Online Learning in Neural Networks, Cambridge University Press 1998.12
Statistical inference: learning in artificial neural networks
HH Yang, N Murata, S Amari
TRENDS IN COGNITIVE SCIENCES 2 ( 1 ) 4  10 1998.01 [Refereed]
Asymptotic statistical theory of overtraining and crossvalidation
S Amari, N Murata, KR Muller, M Finke, HH Yang
IEEE TRANSACTIONS ON NEURAL NETWORKS 8 ( 5 ) 985  996 1997.09 [Refereed]
Adaptive online learning in changing environments
N Murata, KR Muller, A Ziehe, SI Amari
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 9 9 599  605 1997 [Refereed]
Statistical analysis of regularization constant  From Bayes, MDL and NIC points of view
S Amari, N Murata
BIOLOGICAL AND ARTIFICIAL COMPUTATION: FROM NEUROSCIENCE TO TECHNOLOGY 1240 284  293 1997 [Refereed]
Noboru Murata
Electronics and Communications in Japan 79 ( 3 ) 23  33 1996.08 [Refereed]
A numerical study on learning curves in stochastic multilayer feedforward networks
KR Muller, M Finke, N Murata, K Schulten, S Amari
NEURAL COMPUTATION 8 ( 5 ) 1085  1106 1996.07 [Refereed]
N Murata
ELECTRONICS AND COMMUNICATIONS IN JAPAN PART IIIFUNDAMENTAL ELECTRONIC SCIENCE 79 ( 3 ) 23  33 1996.03 [Refereed]
Statistical theory of overtraining  Is crossvalidation asymptotically effective?
S Amari, N Murata, KR Muller, M Finke, H Yang
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 8 8 176  182 1996
Ridge 関数による積分表現と3層ネットワークの近似誤差
村田 昇
電子情報通信学会論文誌 J78A ( 9 ) 1204  1212 1995.09
N MURATA, S YOSHIZAWA, S AMARI
IEEE TRANSACTIONS ON NEURAL NETWORKS 5 ( 6 ) 865  872 1994.11 [Refereed]
UNIVERSAL PROPERTIES OF LEARNINGCURVES
S AMARI, N MURATA, K IKEDA
COGNITIVE PROCESSING FOR VISION & VOICE 77  87 1994 [Refereed]
PREDICTION ERROR OF STOCHASTIC LEARNING MACHINE
K IKEDA, N MURATA, S AMARI
1994 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS, VOL 17 2 1159  1162 1994 [Refereed]
Learning curves, model selection and complexity of neural networks
Noboru Murata, Shuji Yoshizawa, Shunichi Amari
In Stephen Jose Hanson, Jack D. Cowan, and C. Lee Giles, editors, Advances in Neural Information Processing Systems, Morgan Kaufmann Publishers, San Mateo, CA 5 607  614 1993
STATISTICALTHEORY OF LEARNINGCURVES UNDER ENTROPIC LOSS CRITERION
S AMARI, N MURATA
NEURAL COMPUTATION 5 ( 1 ) 140  153 1993.01
A CRITERION FOR DETERMINING THE NUMBER OF PARAMETERS IN AN ARTIFICIAL NEURAL NETWORK MODEL
N MURATA, S YOSHIZAWA, S AMARI
ARTIFICIAL NEURAL NETWORKS, VOLS 1 AND 2 9  14 1991 [Refereed]
パターン認識と機械学習 : ベイズ理論による統計的予測 上
Bishop Christopher M, 元田 浩, 栗田 多喜夫, 樋口 知之, 松本 裕治, 村田 昇
丸善出版 2012 ISBN: 9784621061220
電気・電子・情報のための基礎数学
村田 純一, 村田 昇
オーム社 2011 ISBN: 9784274210877
パターン認識
金森 敬文, 竹之内 高志, 村田 昇
共立出版 2009 ISBN: 9784320019256
パターン認識と機械学習 : ベイズ理論による統計的予測 上
Bishop Christopher M, 元田 浩, 栗田 多喜夫, 樋口 知之, 松本 裕治, 村田 昇
シュプリンガー・ジャパン 2007 ISBN: 9784431100133
確率と統計 : 情報学への架橋
渡辺 澄夫, 村田 昇
コロナ社 2005 ISBN: 9784339060775
情報理論の基礎  情報と学習の直観的理解のために.
村田昇
サイエンス社 2005 ISBN: 9784781912127
入門 独立成分分析.
村田昇
東京電機大学出版局 2004 ISBN: 4501537507
パターン認識と学習の統計学  新しい概念と手法.
麻生英樹, 津田宏治, 村田昇
岩波書店 2003 ISBN: 4000068466
独立成分分析  多変量データ解析の新しい方法.
甘利俊一, 村田昇 共編著
サイエンス社 2002
パターン認識と機械学習 : ベイズ理論による統計的予測 下
Bishop Christopher M, 元田 浩, 栗田 多喜夫, 樋口 知之, 松本 裕治, 村田 昇
シュプリンガー・ジャパン ISBN: 9784431100317
パターン認識と機械学習 : ベイズ理論による統計的予測 下
Bishop Christopher M, 元田 浩, 栗田 多喜夫, 樋口 知之, 松本 裕治, 村田 昇
丸善出版 ISBN: 9784621061244
Explorations into the Neurocognitive Basis of Symbolic Processing: Focusing on the Mediation System between Form and Meaning of Human Language
Japan Society for the Promotion of Science GrantsinAid for Scientific Research
Project Year :
Analysis of transfer learning based on information geometry
Japan Society for the Promotion of Science GrantsinAid for Scientific Research
Project Year :
脳磁図と頭蓋内脳波の時間分解MVP解析による言語の形式と意味を繋ぐシステムの解明
日本学術振興会 科学研究費助成事業
Project Year :
酒井 弘, 西本 伸志, 井上 貴文, 田中 慶太, 大関 洋平, 松本 敦, 太田 真理, 久保田 有一, 宮本 陽一, 村田 昇, 大須 理英子
生命に現在の20種類の標準アミノ酸は必要か:遺伝暗号改変による理工学アプローチ
日本学術振興会 科学研究費助成事業
Project Year :
木賀 大介, 村田 昇
Development of machine learning method for distribution data based on information geometry
Japan Society for the Promotion of Science GrantsinAid for Scientific Research
Project Year :
Akaho Shotaro
Development of the MDL Principle and Its Applications
Japan Society for the Promotion of Science GrantsinAid for Scientific Research
Project Year :
Takeuchi Junichi
Statistical Science of Bioinformatics
Japan Society for the Promotion of Science GrantsinAid for Scientific Research
Project Year :
Kano Yutaka
Extraction of latent structure by sparse modeling
Japan Society for the Promotion of Science GrantsinAid for Scientific Research
Project Year :
Okada Masato
Theoretical statistics for stochastic processes and limit theorems
Japan Society for the Promotion of Science GrantsinAid for Scientific Research
Project Year :
Yoshida Nakahiro, MASUDA Hiroki, MURATA Noboru, UCHIDA Masayuki, SHIMIZU Yasutaka, FUKASAWA Masaaki, KAMATANI Kengo
Weighted data contraction based on information content
Japan Society for the Promotion of Science GrantsinAid for Scientific Research
Project Year :
MURATA Noboru, HINO Hideitsu
Statistical regularization theory and neurophysiology
Japan Society for the Promotion of Science GrantsinAid for Scientific Research
Project Year :
KANO Yutaka, KOBAYASHI Yasushi, INUI Toshiro, SHIMURA Tsuyoshi, ADACHI Kohei, MURATA Noboru, YAMAMOTO Michio
Online Change Detection with Sequential Marginal Likelihook : Particle Filter Approach
Japan Society for the Promotion of Science GrantsinAid for Scientific Research
Project Year :
MATSUMOTO Takashi, MURATA Noboru
New statistical methodology for genome diversity analysis
Japan Society for the Promotion of Science GrantsinAid for Scientific Research
Project Year :
EGUCHI Shinto, FUJISAWA Hironori, HEMMI Masayuki, MATSUURA Masaaki, TAKASHI Takenouchi, MASANORI Kawakita
A Statistical Study on Bayes Statistics and Ensemble Learning
Japan Society for the Promotion of Science GrantsinAid for Scientific Research
Project Year :
MURATA Noboru, IKEDA Kazushi
Fusion of Statistics, NeuralNet, Machine Learning
Japan Society for the Promotion of Science GrantsinAid for Scientific Research
Project Year :
EGUCHI Shinto, KANAMORI Takafumi, FUJISAWA Hironori, MINAMI Mihoko, MATSUURA Masaaki, MURATA Noboru
A Basic Study on Multimodal Biometric Person Authentication : Signature, Face and Voice
Japan Society for the Promotion of Science GrantsinAid for Scientific Research
Project Year :
MATSUMOTO Takashi, MURATA Noboru
"Confirmatory" independent component analysis and independent factor analysis
Japan Society for the Promotion of Science GrantsinAid for Scientific Research
Project Year :
KANO Yutaka, ICHIKAWA Masanori, MURATA Noboru, HARADA Akira
統計的因果推論と非正規性
科学研究費助成事業(大阪大学) 科学研究費助成事業(基盤研究(C))
神経回路モデルに基づく学習情報処理機構の研究
科学研究費助成事業(東京大学) 科学研究費助成事業(一般研究(C))
Between ICA and SEM
The global optimum of shallow neural network is attained by ridgelet transform
Sho Sonoda, Isao Ishikawa, Masahiro Ikeda, Kei Hagihara, Yoshihiro Sawano, Takuo Matsubara, Noboru Murata
2018.05
Internal/External technical report, preprint, etc.
New Lerning Algorythm of Neural Network using Integral Representation and Kernel Herding
116 ( 500 ) 25  31 2017.03
A Higher Order Local Intrinsic Dimension Estimator by Regression Analysis
116 ( 209 ) 233  240 2016.09
Toward Ridgelet Analysis of Deep Learning (Wavelet analysis and signal processing)
Sonoda Sho, Murata Noboru
RIMS Kokyuroku 2001 64  73 2016.07
Entropy Estimator Based on Polynomial Regression with Poisson Error Structure
115 ( 511 ) 47  53 2016.03
グレーボックスモデルとブートストラップフィルタによる不確定な製鋼プロセスの溶鋼温度予測
AHMAD Iftikhar, 加納学, 長谷部伸治, 北田宏, 村田昇
化学工学会秋季大会研究発表講演要旨集(CDROM) 47th ROMBUNNO.N214 2015.09
Entropy Estimators Based on Simple Linear Regression
HINO Hideitsu, KOSHIJIMA Kensuke, MURATA Noboru
114 ( 306 ) 33  40 2014.11
2014 ( 66 ) 63  67 2014.09
S0840101 Study of Operational Policy in Residential Energy System Considering Comfort
YOSHIDA Akira, FUJIMOTO Yu, MURATA Noboru, WAKAO Shinji, TANABE Shinichi, AMANO Yoshiharu
Mechanical Engineering Congress, Japan 2014 "S0840101  1""S08401015" 2014.09
Sampling Learning Algorithm by Oracle Distribution
SONODA Sho, MURATA Noboru
Technical report of IEICE. PRMU 114 ( 197 ) 137  142 2014.09
Sampling Learning Algorithm by Oracle Distribution
Sho Sonoda, Noboru Murata
IPSJ SIG Notes. CVIM 2014 ( 24 ) 1  6 2014.08
Spike Data Analysis by Weighted Directed Graph Modeling
HIGUCHI Sho, HINO Hideitsu, TATSUNO Masami, MURATA Noboru
114 ( 105 ) 193  200 2014.06
Current Dipole Localization from EEG by Multiple Particle Filters and Model Selection
KANEDA Yuki, SONODA Sho, HINO Hideitsu, MURATA Noboru
114 ( 105 ) 91  96 2014.06
Distances between Marked Point Processes and their Applications for Discriminant Analysis
TAKANO Ken, KOBAYASHI Mei, HINO Hideitsu, MURATA Noboru
114 ( 105 ) 83  89 2014.06
C131 A study of optimal operational planning of residential PEFC system for energy demand scenarios using stochastic programming technique
YOSHIDA Akira, OGATA Ryohei, MURATA Noboru, AMANO Yoshiharu
National Symposium on Power and Energy Systems 2014 ( 19 ) 93  96 2014.06
C132 Effect of demand prediction error on energysaving performance of PEFC system for residential use
OGATA Ryohei, YOSHIDA Akira, MURATA Noboru, AMANO Yoshiharu
National Symposium on Power and Energy Systems 2014 ( 19 ) 97  100 2014.06
Spike Data Analysis by Weighted Directed Graph Modeling
Sho Higuchi, Hideitsu Hino, Masami Tatsuno, Noboru Murata
IPSJ SIG Notes 2014 ( 35 ) 1  8 2014.06
Spike Data Analysis by Weighted Directed Graph Modeling
Sho Higuchi, Hideitsu Hino, Masami Tatsuno, Noboru Murata
IPSJ SIG technical reports 2014 ( 35 ) 1  8 2014.06
Current Dipole Localization from EEG by Multiple Particle Filters and Model Selection
Yuki Kaneda, Sho Sonoda, Hideitsu Hino, Noboru Murata
IPSJ SIG technical reports 2014 ( 15 ) 1  6 2014.06
Distances between Marked Point Processes and their Applications for Discriminant Analysis
Ken Takano, Mei Kobayashi, Hideitsu Hino, Noboru Murata
IPSJ SIG technical reports 2014 ( 14 ) 1  7 2014.06
Estimation of Item Preference Parameter with User Review Date
MOCHIZUKI Shunichi, FUJIMOTO Yu, MURATA Noboru
113 ( 476 ) 89  94 2014.03
Graph Structure Modeling for Spike Data Analysis
HIGUCHI Sho, NODA Atsushi, HINO Hideitsu, MURATA Noboru
IEICE technical report. Neurocomputing 113 ( 111 ) 145  150 2013.06
加藤利幸, 日野英逸, 村田昇
研究報告コンピュータビジョンとイメージメディア（CVIM） 2013 ( 3 ) 1  9 2013.05
AHMAD Iftikhar, 加納学, 長谷部伸治, 北田宏, 村田昇
材料とプロセス(CDROM) 26 ( 1 ) ROMBUNNO.TO17 2013.03
ランダムウォークに基づいたグラフ構造モデリング
野田淳史, 石田諒, 日野英逸, 龍野正実, 赤穂昭太郎, 村田昇
研究報告バイオ情報学（BIO） 2012 ( 21 ) 1  6 2012.11
Ancestral Atom Learning for Dictionary Generation in Sparse Coding
ARITAKE Toshimitsu, HINO Hideitsu, MURATA Noboru
112 ( 279 ) 343  350 2012.10
Predictability of Approximate Accuracy for Asymptotic Expansion
NOMURA Ryosuke, HINO Hideitsu, MURATA Noboru, YOSHIDA Nakahiro
112 ( 279 ) 319  325 2012.10
阪下翔太, 加納学, 北田宏, 村田昇
計測自動制御学会制御部門大会(CDROM) 12th ROMBUNNO.3GATSU14NICHI,DAI2SHITSU,16:0017:40,SAKASHITA 2012.03
Estimation of Recombination Rates by Using Dirichlet Process and Variational Bayes
YOMOGIDA Yuna, MURATA Noboru, INOUE Masato
111 ( 275 ) 181  185 2011.11
Multiple Kernel Learning Based on Gaussanity
HINO Hideitsu, MURATA Noboru
111 ( 275 ) 99  104 2011.11
Confidence estimation of solar irradiance forecast with JustInTime Modeling
TERAZONO Takahiro, WAKAO Shinji, SHEN Haoyang, HINO Hideitsu, MURATA Noboru
2011 ( 15 ) 37  42 2011.11
藤木淳, 赤穂昭太郎, 日野英逸, 村田昇
画像の認識・理解シンポジウム(MIRU2011)論文集 2011 1264  1271 2011.07
最適抽出可能性に基づく1次元低い超平面や超曲面のあてはめ～ランダムサンプリングは大域的最適解の夢をみるか？～
藤木淳, 赤穂昭太郎, 日野英逸, 村田昇
画像の認識・理解シンポジウム(MIRU2011)論文集 2011 80  87 2011.07
hypersurface fitting based on random sampling
FUJIKI Jun, AKAHO Shotaro, HINO Hideitsu, MURATA Noboru
IEICE technical report 111 ( 48 ) 69  74 2011.05
大倉才昇, 加納学, 北田宏, 村田昇
材料とプロセス(CDROM) 24 ( 1 ) ROMBUNNO.TO8 2011.03
園田翔, 村田昇, 日野英逸, 進藤史裕, 北田宏, 加納学
材料とプロセス(CDROM) 24 ( 1 ) ROMBUNNO.TO9 2011.03
High performance prediction of molten steel temperature through graybox model
Toshinori Okura, Manabu Kano, Shinji Hasebe, Hiroshi Kitada, Noboru Murata
Computing and Systems Technology Division  Core Programming Topic at the 2011 AIChE Annual Meeting 2 1153  1154 2011 [Refereed]
Investigation on optimization in speaker recognition using multiple kernel learning
2010 ( 27 ) 1  6 2010.12
Quantile Based Information Estimation for Weighted Observation and its Applications
HINO Hideitsu, MIURA Kazuki, MURATA Noboru
IEICE technical report 110 ( 265 ) 159  168 2010.10
Calibration of radially symmetric distortion on stereographic projection plane
FUJIKI Jun, HINO Hideitsu, USAMI Yumi, AKAHO Shotaro, MURATA Noboru
IEICE technical report 109 ( 470 ) 377  382 2010.03
Towards robust Jacobian kernel PCA
FUJIKI JUN, AKAHO SHOTARO, HINO HIDEITSU, MURATA NOBORU
IPSJ SIG Notes. CVIM 2009 ( 29 ) 191  196 2009.03
Towards robust Jacobian kernel PCA
FUJIKI JUN, AKAHO SHOTARO, HINO HIDEITSU, MURATA NOBORU
IEICE technical report 108 ( 484 ) 191  196 2009.03
Calibration of radially symmetric distortion by fitting principle curve
FUJIKI Jun, AKAHO Shotaro, HINO Hideitsu, MURATA Noboru
IEICE technical report 108 ( 363 ) 13  18 2008.12
D19 GENERALIZATION OF INDEPENDENCY BASED ON THE BREGMAN DIVERGENCE
Fujimoto Yu, Murata Noboru
Proceedings of the IEICE General Conference 2008 ( 1 ) 9  9 2008.03
F050 Evaluation of Parameter Estimation Methods based on Divergence corrected with GES
Fujimoto Yu, Murata Noboru
6 ( 2 ) 461  464 2007.08
DOI Yoshinori, MURATA Noboru
IPSJ SIG technical reports 2006 ( 64 ) 69  74 2006.06
Extraction of independent features in the hidden layer of Neural Networks
MATSUKURA Kentaro, MURATA Noboru
IEICE technical report 106 ( 102 ) 63  67 2006.06
Online boosting method based on EM algorithm
NISHINO Ryotaro, MURATA Noboru
IEICE technical report 106 ( 102 ) 25  30 2006.06
Learning Go using neural networks and generalization to unknown situation
OGATA Yasuhiro, MURATA Noboru
IEICE technical report 106 ( 102 ) 7  12 2006.06
DOI Yoshinori, MURATA Noboru
IEICE technical report 106 ( 101 ) 65  70 2006.06
Predicting sleep stages based on timedependent hidden Markov model
YOSHIMURA Masako, MURATA Noboru
IEICE technical report 106 ( 101 ) 7  12 2006.06
Basics of Sparse Coding and Its Application to Image Processing
MURATA Noboru
IEICE technical report 105 ( 673 ) 155  162 2006.03
Basics of Sparse Coding and Its Application to Image Processing
MURATA Noboru
IPSJ SIG Notes. CVIM 2006 ( 25 ) 155  162 2006.03
MURATA Noboru, KANAMORI Takafumi, TAKENOUCHI Takashi
The Journal of the Institute of Electronics, Information and Communication Engineers 88 ( 9 ) 724  729 2005.09
LH004 Mixture of Independent Tables Estimated with Small Samples
Fujimoto Yu, Murata Noboru
4 129  130 2005.08
Smoothing of camera motions via small circle fitting for the sequence of spherical points
MIMURA Junichi, MURATA Noboru, FUJIKI Jun
Technical report of IEICE. PRMU 105 ( 119 ) 47  52 2005.06
D147 SELECTION OF ICA ALGORITHM USING THE SEPARATED SIGNALS
Kono Shuntaro, Murata Noboru
Proceedings of the IEICE General Conference 2005 ( 1 ) 124  124 2005.03
D12104 FEATURE EXTRACTION OF COMPOSERS USING SOURCE CODING
Yamashita Tetsuo, Fujimoto Yu, Murata Noboru
Proceedings of the IEICE General Conference 2005 ( 2 ) 254  254 2005.03
Geometrical Structure of Learning Algorithms
MURATA Noboru
IEICE technical report. Neurocomputing 104 ( 349 ) 51  56 2004.10
An Improvisational Music Generation System using Bayesian Network
FUJIMOTO Yu, MURATA Noboru
IEICE technical report. Neurocomputing 104 ( 348 ) 43  48 2004.10
G022 The Improvisational Music Generation System using Bayesian Network : Model Estimation with Small Samples
Fujimoto Yu, Murata Noboru
3 ( 2 ) 395  396 2004.08
Robust Boosting and Loss Functions
KANAMORI Takafumi, TAKENOUCHI Takashi, EGUCHI Shinto, MURATA Noboru
IEICE technical report. Neurocomputing 104 ( 225 ) 1  6 2004.07
D21 LEARNING PROPERTIES OF SUPPORT VECTOR MACHINES WITH L_p NORM
Ikeda Kazushi, Murata Noboru, Onishi Takaharu, Aoishi Tsutomu
Proceedings of the IEICE General Conference 2004 ( 1 ) 11  11 2004.03
An Introduction to Information Geometry
MURATA Noboru
IEICE technical report. Neurocomputing 103 ( 227 ) 1  6 2003.07
Geometrical Understanding of Boosting Algorithms
MURATA Noboru
Technical report of IEICE. PRMU 102 ( 379 ) 37  42 2002.10
MURATA Noboru, Noboru Murata
Journal of Japanese Society for Artificial Intelligence 17 ( 2 ) 243  245 2002.03
Cultivation of the Religious SentimentBased on the Prayer for Venerato Vitae
Murata Noboru
Journal of the Nippon Buddhist Education Research Association 7 15  51 1999.03
Independent Componet Analysis
Murata Noboru
Proceedings of the Society Conference of IEICE 266  267 1999
MEG data analysus using ICA
IKEDA Shiro, MURATA Noboru
Technical report of IEICE. HIP 98 ( 131 ) 29  36 1998.06
7pYD6 A statistical theory of learning
Murata Noboru
Meeting abstracts of the Physical Society of Japan 52 ( 2 ) 788  788 1997.09
Murata Noboru
Memoirs of the Faculty of Education, Shiga University. Cultural science, social science and educational science 41 21  51 1991
Uber die Didaktik Fr. Paulsens
Murata Noboru
Memoirs of the Faculty of Education, Shiga University. Cultural science, social science and educational science 40 105  125 1990
Master's Thesis (Department of Electrical Engineering and Bioscience)
Graduate School of Advanced Science and Engineering
2024 full year
Master's Thesis (Department of Electrical Engineering and Bioscience)
Graduate School of Advanced Science and Engineering
2024 full year
Seminar on InformationBased Learning Systems D
Graduate School of Advanced Science and Engineering
2024 fall semester
Seminar on InformationBased Learning Systems C
Graduate School of Advanced Science and Engineering
2024 spring semester
Seminar on InformationBased Learning Systems B
Graduate School of Advanced Science and Engineering
2024 fall semester
Seminar on InformationBased Learning Systems A
Graduate School of Advanced Science and Engineering
2024 spring semester
Research on Informationbased Learning Systems
Graduate School of Advanced Science and Engineering
2024 full year
Seminar on InformationBased Learning Systems D
Graduate School of Advanced Science and Engineering
2024 fall semester
Seminar on InformationBased Learning Systems C
Graduate School of Advanced Science and Engineering
2024 spring semester
Seminar on InformationBased Learning Systems B
Graduate School of Advanced Science and Engineering
2024 fall semester
Seminar on InformationBased Learning Systems A
Graduate School of Advanced Science and Engineering
2024 spring semester
Biometric technology and its applications
Graduate School of Advanced Science and Engineering
2024 an intensive course(fall)
Research on Informationbased Learning Systems
Graduate School of Advanced Science and Engineering
2024 full year
Research on Informationbased Learning Systems
Graduate School of Advanced Science and Engineering
2024 full year
Academic Research Practice and Industrial Internship B
Graduate School of Advanced Science and Engineering
2024 full year
Academic Research Practice and Industrial Internship A
Graduate School of Advanced Science and Engineering
2024 full year
Research on Electrical Engineering and Bioscience A HAYASHI, Yasuhiro
Graduate School of Advanced Science and Engineering
2024 full year
Laboratory A on Electrical Engineering and Bioscience [S Grade]
School of Advanced Science and Engineering
2024 fall semester
Laboratory A on Electrical Engineering and Bioscience
School of Advanced Science and Engineering
2024 fall semester
Frontiers of Electrical Engineering and Bioscience [S Grade]
School of Advanced Science and Engineering
2024 spring semester
Frontiers of Electrical Engineering and Bioscience
School of Advanced Science and Engineering
2024 spring semester
Laboratory C on Electrical Engineering and Bioscience [S Grade]
School of Advanced Science and Engineering
2024 fall semester
Laboratory C on Electrical Engineering and Bioscience
School of Advanced Science and Engineering
2024 fall semester
Faculty of Science and Engineering Graduate School of Advanced Science and Engineering
Center for Data Science Concurrent Researcher
Waseda Research Institute for Science and Engineering Concurrent Researcher
Research Organization for Open Innovation Strategy Concurrent Researcher
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