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2020 – today
- 2023
[j43]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): 1302-1315 (2023)- [c55]Tomohiro Inoue, Noboru Murata, Taiki Sugiura:
Visualization of Learning Process in Feature Space. FLAIRS 2023 - 2022
- [j42]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: 29-39 (2022) - [i11]Hideitsu Hino, Shotaro Akaho, Noboru Murata:
Geometry of EM and related iterative algorithms. CoRR abs/2209.01301 (2022) - 2021
- [j41]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: 279-289 (2021) - [c54]Yuka Aoyagi, Noboru Murata, Hidetomo Sakaino:
Spatio-Temporal Predictive Network for Videos With Physical Properties. CVPR Workshops 2021: 2268-2278 - [c53]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: 376-379 - [c52]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: 988-996 - 2020
- [c51]Masaki Aota, Hideaki Kanehara, Masaki Kubo, Noboru Murata, Bo Sun, Takeshi Takahashi:
Automation of Vulnerability Classification from its Description using Machine Learning. ISCC 2020: 1-7 - [c50]Yifan Sun, Noboru Murata:
CAFM: A 3D Morphable Model for Animals. WACV Workshops 2020: 20-24 - [i10]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 abs/2001.01893 (2020)
2010 – 2019
- 2019
- [j40]Sho Sonoda, Noboru Murata:
Transport Analysis of Infinitely Deep Neural Network. J. Mach. Learn. Res. 20: 2:1-2:52 (2019) - [c49]Hayato Watanabe, Hideitsu Hino, Shotaro Akaho, Noboru Murata:
Retrieved Image Refinement by Bootstrap Outlier Test. CAIP (1) 2019: 505-517 - [c48]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: 102-113 - [c47]Shotaro Akaho, Hideitsu Hino, Noboru Murata:
On a Convergence Property of a Geometrical Algorithm for Statistical Manifolds. ICONIP (5) 2019: 262-272 - [c46]Toshimitsu Aritake, Noboru Murata:
Learning Scale and Shift-Invariant Dictionary for Sparse Representation. LOD 2019: 472-483 - [c45]Hideaki Kanehara, Yuma Murakami, Jumpei Shimamura, Takeshi Takahashi, Daisuke Inoue, Noboru Murata:
Real-time botnet detection using nonnegative tucker decomposition. SAC 2019: 1337-1344 - [i9]Shotaro Akaho, Hideitsu Hino, Noboru Murata:
On a convergence property of a geometrical algorithm for statistical manifolds. CoRR abs/1909.12644 (2019) - 2018
- [j39]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: 68-82 (2018) - [j38]Taishi Iwasaki, Hideitsu Hino, Masami Tatsuno, Shotaro Akaho, Noboru Murata:
Estimation of neural connections from partially observed neural spikes. Neural Networks 108: 172-191 (2018) - [j37]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): 1216-1227 (2018) - [c44]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: 2645-2651 - [c43]Shotaro Akaho, Hideitsu Hino, Neneka Nara, Noboru Murata:
Geometrical Formulation of the Nonnegative Matrix Factorization. ICONIP (3) 2018: 525-534 - [c42]Keishi Sando, Shotaro Akaho, Noboru Murata, Hideitsu Hino:
Information Geometric Perspective of Modal Linear Regression. ICONIP (3) 2018: 535-545 - [i8]Sho Sonoda, Isao Ishikawa, Masahiro Ikeda, Kei Hagihara, Yoshihiro Sawano, Takuo Matsubara, Noboru Murata:
Integral representation of the global minimizer. CoRR abs/1805.07517 (2018) - 2017
- [j36]Toshiyuki Kato, Hideitsu Hino, Noboru Murata:
Double sparsity for multi-frame super resolution. Neurocomputing 240: 115-126 (2017) - [j35]Hideitsu Hino, Jun Fujiki, Shotaro Akaho, Noboru Murata:
Local Intrinsic Dimension Estimation by Generalized Linear Modeling. Neural Comput. 29(7): 1838-1878 (2017) - [i7]Sho Sonoda, Noboru Murata:
Transportation analysis of denoising autoencoders: a novel method for analyzing deep neural networks. CoRR abs/1712.04145 (2017) - 2016
- [j34]Ken Takano, Hideitsu Hino, Shotaro Akaho, Noboru Murata:
Nonparametric e-Mixture Estimation. Neural Comput. 28(12): 2687-2725 (2016) - [c41]Kensuke Koshijima, Hideitsu Hino, Noboru Murata:
Change-point detection in a sequence of bags-of-data. ICDE 2016: 1560-1561 - [c40]Hideitsu Hino, Ken Takano, Shotaro Akaho, Noboru Murata:
Non-parametric e-mixture of Density Functions. ICONIP (2) 2016: 3-10 - [c39]Hideitsu Hino, Shotaro Akaho, Noboru Murata:
An Entropy Estimator Based on Polynomial Regression with Poisson Error Structure. ICONIP (2) 2016: 11-19 - [c38]Shoma Tanaka, Yuki Kawamura, Masanori Kawakita, Noboru Murata, Jun'ichi Takeuchi:
MDL Criterion for NMF with Application to Botnet Detection. ICONIP (1) 2016: 570-578 - [c37]Toshiyuki Kato, Hideitsu Hino, Noboru Murata:
Doubly sparse structure in image super resolution. MLSP 2016: 1-6 - [i6]Sho Sonoda, Noboru Murata:
Decoding Stacked Denoising Autoencoders. CoRR abs/1605.02832 (2016) - 2015
- [j33]Hideitsu Hino, Kensuke Koshijima, Noboru Murata:
Non-parametric entropy estimators based on simple linear regression. Comput. Stat. Data Anal. 89: 72-84 (2015) - [j32]Toshiyuki Kato, Hideitsu Hino, Noboru Murata:
Multi-frame image super resolution based on sparse coding. Neural Networks 66: 64-78 (2015) - [j31]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): 237 (2015) - [j30]Kensuke Koshijima, Hideitsu Hino, Noboru Murata:
Change-Point Detection in a Sequence of Bags-of-Data. IEEE Trans. Knowl. Data Eng. 27(10): 2632-2644 (2015) - [c36]Noboru Murata, Ryuei Nishii, Hideyuki Takagi, Yan Pei:
Analytical estimation of the convergence point of populations. CEC 2015: 2619-2624 - [c35]Ken Takano, Hideitsu Hino, Yuki Yoshikawa, Noboru Murata:
Patchworking Multiple Pairwise Distances for Learning with Distance Matrices. LVA/ICA 2015: 287-294 - [i5]Sho Sonoda, Noboru Murata:
Neural Network with Unbounded Activations is Universal Approximator. CoRR abs/1505.03654 (2015) - [i4]Toshiyuki Kato, Hideitsu Hino, Noboru Murata:
Double Sparse Multi-Frame Image Super Resolution. CoRR abs/1512.00607 (2015) - 2014
- [j29]Atsushi Noda, Hideitsu Hino, Masami Tatsuno, Shotaro Akaho, Noboru Murata:
Intrinsic Graph Structure Estimation Using Graph Laplacian. Neural Comput. 26(7): 1455-1483 (2014) - [j28]Hideitsu Hino, Noboru Murata:
A Nonparametric Clustering Algorithm with a Quantile-Based Likelihood Estimator. Neural Comput. 26(9): 2074-2101 (2014) - [c34]Hideitsu Hino, Noboru Murata:
A Non-parametric Maximum Entropy Clustering. ICANN 2014: 113-120 - [c33]Hideitsu Hino, Atsushi Noda, Masami Tatsuno, Shotaro Akaho, Noboru Murata:
An Algorithm for Directed Graph Estimation. ICANN 2014: 145-152 - [c32]Sho Sonoda, Noboru Murata:
Sampling Hidden Parameters from Oracle Distribution. ICANN 2014: 539-546 - [i3]Toshiyuki Kato, Hideitsu Hino, Noboru Murata:
Sparse Coding Approach for Multi-Frame Image Super Resolution. CoRR abs/1402.3926 (2014) - 2013
- [j27]Hideitsu Hino, Keigo Wakayama, Noboru Murata:
Entropy-based sliced inverse regression. Comput. Stat. Data Anal. 67: 105-114 (2013) - [j26]Toshimitsu Aritake, Hideitsu Hino, Noboru Murata:
Learning Ancestral Atom via Sparse Coding. IEEE J. Sel. Top. Signal Process. 7(4): 586-594 (2013) - [j25]Hideitsu Hino, Noboru Murata:
Information estimators for weighted observations. Neural Networks 46: 260-275 (2013) - [j24]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): 1048-1057 (2013) - [c31]Hideitsu Hino, Jun Fujiki, Shotaro Akaho, Yoshihiko Mochizuki, Noboru Murata:
Pairwise Similarity for Line Extraction from Distorted Images. CAIP (2) 2013: 250-257 - [i2]Sho Sonoda, Noboru Murata:
Nonparametric Weight Initialization of Neural Networks via Integral Representation. CoRR abs/1312.6461 (2013) - 2012
- [j23]Yu Fujimoto, Noboru Murata:
A generalisation of independence in statistical models for categorical distribution. Int. J. Data Min. Model. Manag. 4(2): 172-187 (2012) - [j22]Hideitsu Hino, Nima Reyhani, Noboru Murata:
Multiple Kernel Learning with Gaussianity Measures. Neural Comput. 24(7): 1853-1881 (2012) - [c30]Yu Fujimoto, Noboru Murata:
Nonnegative Matrix Factorization via Generalized Product Rule and Its Application for Classification. LVA/ICA 2012: 263-271 - [c29]Jun Fujiki, Shotaro Akaho, Hideitsu Hino, Noboru Murata:
Robust Hypersurface Fitting Based on Random Sampling Approximations. ICONIP (3) 2012: 520-527 - [c28]Hideitsu Hino, Keigo Wakayama, Noboru Murata:
Sliced inverse regression with conditional entropy minimization. ICPR 2012: 1185-1188 - [c27]Rui Jorge Rei, João Pedro Pedroso, Hideitsu Hino, Noboru Murata:
A Tree Search Approach to Sparse Coding. LION 2012: 472-477 - 2011
- [j21]Yu Fujimoto, Hideitsu Hino, Noboru Murata:
An Estimation of Generalized Bradley-Terry Models Based on the em Algorithm. Neural Comput. 23(6): 1623-1659 (2011) - [c26]Jun Fujiki, Shotaro Akaho, Hideitsu Hino, Noboru Murata:
Robust Hyperplane Fitting Based on k-th Power Deviation and α-Quantile. CAIP (1) 2011: 278-285 - [c25]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: 78690F - [c24]Hideitsu Hino, Noboru Murata:
A Computationally Efficient Information Estimator for Weighted Data. ICANN (2) 2011: 301-308 - [c23]Tetsuji Ogawa, Hideitsu Hino, Nima Reyhani, Noboru Murata, Tetsunori Kobayashi:
Speaker recognition using multiple kernel learning based on conditional entropy minimization. ICASSP 2011: 2204-2207 - [c22]Jun Fujiki, Hideitsu Hino, Shotaro Akaho, Noboru Murata:
Calibration of radially symmetric distortion based on linearity in the calibrated image. ICCV Workshops 2011: 288-295 - [c21]Haoyang Shen, Hideitsu Hino, Noboru Murata, Shinji Wakao:
Extraction of Basic Patterns of Household Energy Consumption. ICMLA (2) 2011: 275-280 - [c20]Haoyang Shen, Hideitsu Hino, Noboru Murata, Shinji Wakao:
A Measure of Credibility of Solar Power Prediction. ICMLA (2) 2011: 286-291 - [c19]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: 2741-2744 - 2010
- [j20]Hideitsu Hino, Yu Fujimoto, Noboru Murata:
A Grouped Ranking Model for Item Preference Parameter. Neural Comput. 22(9): 2417-2451 (2010) - [j19]Hideitsu Hino, Noboru Murata:
A Conditional Entropy Minimization Criterion for Dimensionality Reduction and Multiple Kernel Learning. Neural Comput. 22(11): 2887-2923 (2010) - [c18]Hideitsu Hino, Nima Reyhani, Noboru Murata:
Multiple Kernel Learning by Conditional Entropy Minimization. ICMLA 2010: 223-228 - [c17]Jun Fujiki, Hideitsu Hino, Yumi Usami, Shotaro Akaho, Noboru Murata:
Self-Calibration of Radially Symmetric Distortion by Model Selection. ICPR 2010: 1812-1815 - [c16]Yu Fujimoto, Noboru Murata:
A Generalization of Independence in Naive Bayes Model. IDEAL 2010: 153-161
2000 – 2009
- 2009
- [c15]Hideitsu Hino, Yumi Usami, Jun Fujiki, Shotaro Akaho, Noboru Murata:
Calibration of Radially Symmetric Distortion by Fitting Principal Component. CAIP 2009: 149-156 - [c14]Yu Fujimoto, Hideitsu Hino, Noboru Murata:
Item-user Preference Mapping with Mixture Models - Data Visualization for Item Preference. KDIR 2009: 105-111 - [c13]Hideitsu Hino, Noboru Murata:
An Information Theoretic Perspective of the Sparse Coding. ISNN (1) 2009: 84-93 - [c12]Hideitsu Hino, Yu Fujimoto, Noboru Murata:
Item Preference Parameters from Grouped Ranking Observations. PAKDD 2009: 875-882 - 2008
- [j18]Takashi Takenouchi, Shinto Eguchi, Noboru Murata, Takafumi Kanamori:
Robust Boosting Algorithm Against Mislabeling in Multiclass Problems. Neural Comput. 20(6): 1596-1630 (2008) - 2007
- [j17]Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi, Noboru Murata:
Robust Loss Functions for Boosting. Neural Comput. 19(8): 2183-2244 (2007) - 2006
- [j16]Takafumi Kanamori, Takashi Takenouchi, Noboru Murata:
Geometrical Structure of Boosting Algorithm. New Gener. Comput. 25(1): 117-141 (2006) - [c11]Yu Fujimoto, Noboru Murata:
Robust Estimation for Mixture of Probability Tables based on beta-likelihood. SDM 2006: 519-523 - 2005
- [j15]Kazushi Ikeda, Noboru Murata:
Geometrical Properties of Nu Support Vector Machines with Different Norms. Neural Comput. 17(11): 2508-2529 (2005) - [c10]Kazushi Ikeda, Noboru Murata:
Effects of norms on learning properties of support vector machines. ICASSP (5) 2005: 241-244 - 2004
- [j14]Hyeyoung Park, Noboru Murata, Shun-ichi Amari:
Improving Generalization Performance of Natural Gradient Learning Using Optimized Regularization by NIC. Neural Comput. 16(2): 355-382 (2004) - [j13]Noboru Murata, Takashi Takenouchi, Takafumi Kanamori, Shinto Eguchi:
Information Geometry of U-Boost and Bregman Divergence. Neural Comput. 16(7): 1437-1481 (2004) - [c9]Daisuke Ito, Noboru Murata:
An Approach of Moment-Based Algorithm for Noisy ICA Models. ICA 2004: 343-349 - [c8]Jun Fujiki, Shotaro Akaho, Noboru Murata:
Nonlinear PCA/ICA for the Structure from Motion Problem. ICA 2004: 750-757 - [c7]Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi, Noboru Murata:
The Most Robust Loss Function for Boosting. ICONIP 2004: 496-501 - 2003
- [j12]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): 631-645 (2003) - 2002
- [j11]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): 255-277 (2002) - [j10]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): 743-760 (2002) - 2001
- [j9]Noboru Murata, Shiro Ikeda, Andreas Ziehe:
An approach to blind source separation based on temporal structure of speech signals. Neurocomputing 41(1-4): 1-24 (2001) - [j8]Tianping Chen, Shun-ichi Amari, Noboru Murata:
Sequential Extraction of Minor Components. Neural Process. Lett. 13(3): 195-201 (2001) - [j7]João Pedro Pedroso, Noboru Murata:
Support vector machines with different norms: motivation, formulations and results. Pattern Recognit. Lett. 22(12): 1263-1272 (2001) - 2000
- [c6]João Pedro Pedroso, Noboru Murata:
Optimization on Support Vector Machines. IJCNN (6) 2000: 399-404 - [i1]Toshinao Akuzawa, Noboru Murata:
Multiplicative Nonholonomic/Newton -like Algorithm. CoRR cs.LG/0002006 (2000)
1990 – 1999
- 1999
- [j6]Noboru Murata, Shun-ichi Amari:
Statistical analysis of learning dynamics. Signal Process. 74(1): 3-28 (1999) - [c5]Si Wu, Hiroyuki Nakahara, Noboru Murata, Shun-ichi Amari:
Population Decoding Based on an Unfaithful Model. NIPS 1999: 192-198 - 1997
- [j5]Shun-ichi Amari, Noboru Murata, Klaus-Robert Müller, Michael Finke, Howard Hua Yang:
Asymptotic statistical theory of overtraining and cross-validation. IEEE Trans. Neural Networks 8(5): 985-996 (1997) - [c4]Shun-ichi Amari, Noboru Murata:
Statistical Analysis of Regularization Constant - From Bayes, MDL and NIC Points of View. IWANN 1997: 284-293 - 1996
- [j4]Klaus-Robert Müller, Michael Finke, Noboru Murata, Klaus Schulten, Shun-ichi Amari:
A Numerical Study on Learning Curves in Stochastic Multilayer Feedforward Networks. Neural Comput. 8(5): 1085-1106 (1996) - [j3]Noboru Murata:
An Integral Representation of Functions Using Three-layered Networks and Their Approximation Bounds. Neural Networks 9(6): 947-956 (1996) - [c3]Noboru Murata, Klaus-Robert Müller, Andreas Ziehe, Shun-ichi Amari:
Adaptive On-line Learning in Changing Environments. NIPS 1996: 599-605 - 1995
- [c2]Shun-ichi Amari, Noboru Murata, Klaus-Robert Müller, Michael Finke, Howard Hua Yang:
Statistical Theory of Overtraining - Is Cross-Validation Asymptotically Effective? NIPS 1995: 176-182 - 1994
- [j2]Noboru Murata, Shuji Yoshizawa, Shun-ichi Amari:
Network information criterion-determining the number of hidden units for an artificial neural network model. IEEE Trans. Neural Networks 5(6): 865-872 (1994) - 1993
- [j1]Shun-ichi Amari, Noboru Murata:
Statistical Theory of Learning Curves under Entropic Loss Criterion. Neural Comput. 5(1): 140-153 (1993) - 1992
- [c1]Noboru Murata, Shuji Yoshizawa, Shun-ichi Amari:
Learning Curves, Model Selection and Complexity of Neural Networks. NIPS 1992: 607-614
Coauthor Index
[j42] [i11] [j41] [i10] [c49] [c48] [c47] [i9] [j39] [j38] [c44] [c43] [c42] [j36] [j35] [j34] [c41] [c40] [c39] [c37] [j33] [j32] [j31] [j30] [c35] [i4] [j29] [j28] [c34] [c33] [i3] [j27] [j26] [j25] [j24] [c31] [j22] [c29] [c28] [c27] [j21] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [j20] [j19] [c18] [c17] [c15] [c14] [c13] [c12]