Noboru Murata - RankMe

111 papers A* 1A 2B 6C 7Misc 4Journal 56Unranked 35

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Lag Operator SSMs: A Geometric Framework for Structured State Space Modeling. CoRR Sutashu Tomonaga, Kenji Doya, Noboru Murata
2025	J	`jnl`	Neural Tangent Kernels and Fisher Information Matrices for Simple ReLU Networks with Random Hidden Weights. CoRR Jun'ichi Takeuchi, Yoshinari Takeishi, Noboru Murata, Kazushi Mimura, Ka Long Keith Ho, Hiroshi Nagaoka
2023	J	`jnl`	Mitigate: Toward Comprehensive Research and Development for Analyzing and Combating IoT Malware. IEICE Trans. Inf. Syst. 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
2023	Misc	`conf`	Visualization of Learning Process in Feature Space. FLAIRS Tomohiro Inoue, Noboru Murata, Taiki Sugiura
2022	J	`jnl`	Detecting cell assemblies by NMF-based clustering from calcium imaging data. Neural Networks Mizuo Nagayama, Toshimitsu Aritake, Hideitsu Hino, Takeshi Kanda, Takehiro Miyazaki, Masashi Yanagisawa, Shotaro Akaho, Noboru Murata
2022	J	`jnl`	Geometry of EM and related iterative algorithms. CoRR Hideitsu Hino, Shotaro Akaho, Noboru Murata
2021	—	`conf`	Designing Comprehensive Cyber Threat Analysis Platform: Can We Orchestrate Analysis Engines? PerCom Workshops Takeshi Takahashi, Yuki Umemura, Chansu Han, Tao Ban, Keisuke Furumoto, Ohnori Nakamura, Katsunari Yoshioka, Jun'ichi Takeuchi, Noboru Murata, Yoshiaki Shiraishi
2021	J	`jnl`	Fast and robust multiplane single-molecule localization microscopy using a deep neural network. Neurocomputing Toshimitsu Aritake, Hideitsu Hino, Shigeyuki Namiki, Daisuke Asanuma, Kenzo Hirose, Noboru Murata
2021	B	`conf`	Multi-label Positive and Unlabeled Learning and its Application to Common Vulnerabilities and Exposure Categorization. TrustCom Masaki Aota, Tao Ban, Takeshi Takahashi, Noboru Murata
2021	—	`conf`	Spatio-Temporal Predictive Network for Videos With Physical Properties. CVPR Workshops Yuka Aoyagi, Noboru Murata, Hidetomo Sakaino
2020	C	`conf`	Automation of Vulnerability Classification from its Description using Machine Learning. ISCC Masaki Aota, Hideaki Kanehara, Masaki Kubo, Noboru Murata, Bo Sun, Takeshi Takahashi
2020	—	`conf`	CAFM: A 3D Morphable Model for Animals. WACV Workshops Yifan Sun, Noboru Murata
2020	J	`jnl`	Fast and robust multiplane single molecule localization microscopy using deep neural network. CoRR Toshimitsu Aritake, Hideitsu Hino, Shigeyuki Namiki, Daisuke Asanuma, Kenzo Hirose, Noboru Murata
2019	—	`conf`	Learning Scale and Shift-Invariant Dictionary for Sparse Representation. LOD Toshimitsu Aritake, Noboru Murata
2019	—	`conf`	On a Convergence Property of a Geometrical Algorithm for Statistical Manifolds. ICONIP (5) Shotaro Akaho, Hideitsu Hino, Noboru Murata
2019	J	`jnl`	On a convergence property of a geometrical algorithm for statistical manifolds. CoRR Shotaro Akaho, Hideitsu Hino, Noboru Murata
2019	Misc	`conf`	Real-time botnet detection using nonnegative tucker decomposition. SAC Hideaki Kanehara, Yuma Murakami, Jumpei Shimamura, Takeshi Takahashi, Daisuke Inoue, Noboru Murata
2019	—	`conf`	Retrieved Image Refinement by Bootstrap Outlier Test. CAIP (1) Hayato Watanabe, Hideitsu Hino, Shotaro Akaho, Noboru Murata
2019	—	`conf`	Sleep State Analysis Using Calcium Imaging Data by Non-negative Matrix Factorization. ICANN (1) Mizuo Nagayama, Toshimitsu Aritake, Hideitsu Hino, Takeshi Kanda, Takehiro Miyazaki, Masashi Yanagisawa, Shotaro Akaho, Noboru Murata
2019	J	`jnl`	Transport Analysis of Infinitely Deep Neural Network. J. Mach. Learn. Res. Sho Sonoda, Noboru Murata
2018	J	`jnl`	Distributed Energy Management for Comprehensive Utilization of Residential Photovoltaic Outputs. IEEE Trans. Smart Grid Yu Fujimoto, Hiroshi Kikusato, Shinya Yoshizawa, Shunsuke Kawano, Akira Yoshida, Shinji Wakao, Noboru Murata, Yoshiharu Amano, Shin-ichi Tanabe, Yasuhiro Hayashi
2018	J	`jnl`	EEG dipole source localization with information criteria for multiple particle filters. Neural Networks Sho Sonoda, Keita Nakamura, Yuki Kaneda, Hideitsu Hino, Shotaro Akaho, Noboru Murata, Eri Miyauchi, Masahiro Kawasaki
2018	J	`jnl`	Estimation of neural connections from partially observed neural spikes. Neural Networks Taishi Iwasaki, Hideitsu Hino, Masami Tatsuno, Shotaro Akaho, Noboru Murata
2018	—	`conf`	Geometrical Formulation of the Nonnegative Matrix Factorization. ICONIP (3) Shotaro Akaho, Hideitsu Hino, Neneka Nara, Noboru Murata
2018	—	`conf`	Information Geometric Perspective of Modal Linear Regression. ICONIP (3) Keishi Sando, Shotaro Akaho, Noboru Murata, Hideitsu Hino
2018	J	`jnl`	Integral representation of the global minimizer. CoRR Sho Sonoda, Isao Ishikawa, Masahiro Ikeda, Kei Hagihara, Yoshihiro Sawano, Takuo Matsubara, Noboru Murata
2018	—	`conf`	Localizing Current Dipoles from EEG Data Using a Birth-Death Process. BIBM Keita Nakamura, Sho Sonoda, Hideitsu Hino, Masahiro Kawasaki, Shotaro Akaho, Noboru Murata
2017	J	`jnl`	Double sparsity for multi-frame super resolution. Neurocomputing Toshiyuki Kato, Hideitsu Hino, Noboru Murata
2017	J	`jnl`	Local Intrinsic Dimension Estimation by Generalized Linear Modeling. Neural Comput. Hideitsu Hino, Jun Fujiki, Shotaro Akaho, Noboru Murata
2017	J	`jnl`	Transportation analysis of denoising autoencoders: a novel method for analyzing deep neural networks. CoRR Sho Sonoda, Noboru Murata
2016	—	`conf`	An Entropy Estimator Based on Polynomial Regression with Poisson Error Structure. ICONIP (2) Hideitsu Hino, Shotaro Akaho, Noboru Murata
2016	A*	`conf`	Change-point detection in a sequence of bags-of-data. ICDE Kensuke Koshijima, Hideitsu Hino, Noboru Murata
2016	J	`jnl`	Decoding Stacked Denoising Autoencoders. CoRR Sho Sonoda, Noboru Murata
2016	—	`conf`	Doubly sparse structure in image super resolution. MLSP Toshiyuki Kato, Hideitsu Hino, Noboru Murata
2016	—	`conf`	MDL Criterion for NMF with Application to Botnet Detection. ICONIP (1) Shoma Tanaka, Yuki Kawamura, Masanori Kawakita, Noboru Murata, Jun'ichi Takeuchi
2016	—	`conf`	Non-parametric e-mixture of Density Functions. ICONIP (2) Hideitsu Hino, Ken Takano, Shotaro Akaho, Noboru Murata
2016	J	`jnl`	Nonparametric Neural Comput. Ken Takano, Hideitsu Hino, Shotaro Akaho, Noboru Murata
2015	B	`conf`	Analytical estimation of the convergence point of populations. CEC Noboru Murata, Ryuei Nishii, Hideyuki Takagi, Yan Pei
2015	J	`jnl`	Change-Point Detection in a Sequence of Bags-of-Data. IEEE Trans. Knowl. Data Eng. Kensuke Koshijima, Hideitsu Hino, Noboru Murata
2015	J	`jnl`	Double Sparse Multi-Frame Image Super Resolution. CoRR Toshiyuki Kato, Hideitsu Hino, Noboru Murata
2015	J	`jnl`	Multi-frame image super resolution based on sparse coding. Neural Networks Toshiyuki Kato, Hideitsu Hino, Noboru Murata
2015	J	`jnl`	Neural Network with Unbounded Activations is Universal Approximator. CoRR Sho Sonoda, Noboru Murata
2015	J	`jnl`	Non-parametric entropy estimators based on simple linear regression. Comput. Stat. Data Anal. Hideitsu Hino, Kensuke Koshijima, Noboru Murata
2015	—	`conf`	Patchworking Multiple Pairwise Distances for Learning with Distance Matrices. LVA/ICA Ken Takano, Hideitsu Hino, Yuki Yoshikawa, Noboru Murata
2015	J	`jnl`	mmpp: A Package for Calculating Similarity and Distance Metrics for Simple and Marked Temporal Point Processes. R J. Hideitsu Hino, Ken Takano, Noboru Murata
2014	C	`conf`	A Non-parametric Maximum Entropy Clustering. ICANN Hideitsu Hino, Noboru Murata
2014	J	`jnl`	A Nonparametric Clustering Algorithm with a Quantile-Based Likelihood Estimator. Neural Comput. Hideitsu Hino, Noboru Murata
2014	C	`conf`	An Algorithm for Directed Graph Estimation. ICANN Hideitsu Hino, Atsushi Noda, Masami Tatsuno, Shotaro Akaho, Noboru Murata
2014	J	`jnl`	Intrinsic Graph Structure Estimation Using Graph Laplacian. Neural Comput. Atsushi Noda, Hideitsu Hino, Masami Tatsuno, Shotaro Akaho, Noboru Murata
2014	C	`conf`	Sampling Hidden Parameters from Oracle Distribution. ICANN Sho Sonoda, Noboru Murata
2014	J	`jnl`	Sparse Coding Approach for Multi-Frame Image Super Resolution. CoRR Toshiyuki Kato, Hideitsu Hino, Noboru Murata
2013	J	`jnl`	A Versatile Clustering Method for Electricity Consumption Pattern Analysis in Households. IEEE Trans. Smart Grid Hideitsu Hino, Haoyang Shen, Noboru Murata, Shinji Wakao, Yasuhiro Hayashi
2013	J	`jnl`	Entropy-based sliced inverse regression. Comput. Stat. Data Anal. Hideitsu Hino, Keigo Wakayama, Noboru Murata
2013	J	`jnl`	Information estimators for weighted observations. Neural Networks Hideitsu Hino, Noboru Murata
2013	J	`jnl`	Learning Ancestral Atom via Sparse Coding. IEEE J. Sel. Top. Signal Process. Toshimitsu Aritake, Hideitsu Hino, Noboru Murata
2013	J	`jnl`	Nonparametric Weight Initialization of Neural Networks via Integral Representation. CoRR Sho Sonoda, Noboru Murata
2013	—	`conf`	Pairwise Similarity for Line Extraction from Distorted Images. CAIP (2) Hideitsu Hino, Jun Fujiki, Shotaro Akaho, Yoshihiko Mochizuki, Noboru Murata
2012	—	`conf`	A Tree Search Approach to Sparse Coding. LION Rui Jorge Rei, João Pedro Pedroso, Hideitsu Hino, Noboru Murata
2012	J	`jnl`	A generalisation of independence in statistical models for categorical distribution. Int. J. Data Min. Model. Manag. Yu Fujimoto, Noboru Murata
2012	J	`jnl`	Multiple Kernel Learning with Gaussianity Measures. Neural Comput. Hideitsu Hino, Nima Reyhani, Noboru Murata
2012	—	`conf`	Nonnegative Matrix Factorization via Generalized Product Rule and Its Application for Classification. LVA/ICA Yu Fujimoto, Noboru Murata
2012	—	`conf`	Robust Hypersurface Fitting Based on Random Sampling Approximations. ICONIP (3) Jun Fujiki, Shotaro Akaho, Hideitsu Hino, Noboru Murata
2012	B	`conf`	Sliced inverse regression with conditional entropy minimization. ICPR Hideitsu Hino, Keigo Wakayama, Noboru Murata
2011	—	`conf`	A Computationally Efficient Information Estimator for Weighted Data. ICANN (2) Hideitsu Hino, Noboru Murata
2011	—	`conf`	A Measure of Credibility of Solar Power Prediction. ICMLA (2) Haoyang Shen, Hideitsu Hino, Noboru Murata, Shinji Wakao
2011	J	`jnl`	An Estimation of Generalized Bradley-Terry Models Based on the Neural Comput. Yu Fujimoto, Hideitsu Hino, Noboru Murata
2011	—	`conf`	Calibration of radially symmetric distortion based on linearity in the calibrated image. ICCV Workshops Jun Fujiki, Hideitsu Hino, Shotaro Akaho, Noboru Murata
2011	—	`conf`	Extraction of Basic Patterns of Household Energy Consumption. ICMLA (2) Haoyang Shen, Hideitsu Hino, Noboru Murata, Shinji Wakao
2011	—	`conf`	Improved methods for dewarping images in convex mirrors in fine art: applications to van Eyck and Parmigianino. Computer Vision and Image Analysis of Art Yumi Usami, David G. Stork, Jun Fujiki, Hideitsu Hino, Shotaro Akaho, Noboru Murata
2011	—	`conf`	Robust Hyperplane Fitting Based on k-th Power Deviation and α-Quantile. CAIP (1) Jun Fujiki, Shotaro Akaho, Hideitsu Hino, Noboru Murata
2011	A	`conf`	Speaker Verification Robust to Talking Style Variation Using Multiple Kernel Learning Based on Conditional Entropy Minimization. INTERSPEECH Tetsuji Ogawa, Hideitsu Hino, Noboru Murata, Tetsunori Kobayashi
2011	Misc	`conf`	Speaker recognition using multiple kernel learning based on conditional entropy minimization. ICASSP Tetsuji Ogawa, Hideitsu Hino, Nima Reyhani, Noboru Murata, Tetsunori Kobayashi
2010	J	`jnl`	A Conditional Entropy Minimization Criterion for Dimensionality Reduction and Multiple Kernel Learning. Neural Comput. Hideitsu Hino, Noboru Murata
2010	C	`conf`	A Generalization of Independence in Naive Bayes Model. IDEAL Yu Fujimoto, Noboru Murata
2010	J	`jnl`	A Grouped Ranking Model for Item Preference Parameter. Neural Comput. Hideitsu Hino, Yu Fujimoto, Noboru Murata
2010	C	`conf`	Multiple Kernel Learning by Conditional Entropy Minimization. ICMLA Hideitsu Hino, Nima Reyhani, Noboru Murata
2010	B	`conf`	Self-Calibration of Radially Symmetric Distortion by Model Selection. ICPR Jun Fujiki, Hideitsu Hino, Yumi Usami, Shotaro Akaho, Noboru Murata
2009	—	`conf`	An Information Theoretic Perspective of the Sparse Coding. ISNN (1) Hideitsu Hino, Noboru Murata
2009	C	`conf`	Calibration of Radially Symmetric Distortion by Fitting Principal Component. CAIP Hideitsu Hino, Yumi Usami, Jun Fujiki, Shotaro Akaho, Noboru Murata
2009	B	`conf`	Item Preference Parameters from Grouped Ranking Observations. PAKDD Hideitsu Hino, Yu Fujimoto, Noboru Murata
2009	—	`conf`	Item-user Preference Mapping with Mixture Models - Data Visualization for Item Preference. KDIR Yu Fujimoto, Hideitsu Hino, Noboru Murata
2008	J	`jnl`	Robust Boosting Algorithm Against Mislabeling in Multiclass Problems. Neural Comput. Takashi Takenouchi, Shinto Eguchi, Noboru Murata, Takafumi Kanamori
2007	J	`jnl`	Robust Loss Functions for Boosting. Neural Comput. Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi, Noboru Murata
2006	J	`jnl`	Geometrical Structure of Boosting Algorithm. New Gener. Comput. Takafumi Kanamori, Takashi Takenouchi, Noboru Murata
2006	A	`conf`	Robust Estimation for Mixture of Probability Tables based on beta-likelihood. SDM Yu Fujimoto, Noboru Murata
2005	—	`conf`	Effects of norms on learning properties of support vector machines. ICASSP (5) Kazushi Ikeda, Noboru Murata
2005	J	`jnl`	Geometrical Properties of Nu Support Vector Machines with Different Norms. Neural Comput. Kazushi Ikeda, Noboru Murata
2004	—	`conf`	An Approach of Moment-Based Algorithm for Noisy ICA Models. ICA Daisuke Ito, Noboru Murata
2004	J	`jnl`	Improving Generalization Performance of Natural Gradient Learning Using Optimized Regularization by NIC. Neural Comput. Hyeyoung Park, Noboru Murata, Shun-ichi Amari
2004	J	`jnl`	Information Geometry of U-Boost and Bregman Divergence. Neural Comput. Noboru Murata, Takashi Takenouchi, Takafumi Kanamori, Shinto Eguchi
2004	—	`conf`	Nonlinear PCA/ICA for the Structure from Motion Problem. ICA Jun Fujiki, Shotaro Akaho, Noboru Murata
2004	B	`conf`	The Most Robust Loss Function for Boosting. ICONIP Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi, Noboru Murata
2003	J	`jnl`	A robust approach to independent component analysis of signals with high-level noise measurements. IEEE Trans. Neural Networks Jianting Cao, Noboru Murata, Shun-ichi Amari, Andrzej Cichocki, Tsunehiro Takeda
2002	J	`jnl`	Independent component analysis for unaveraged single-trial MEG data decomposition and single-dipole source localization. Neurocomputing Jianting Cao, Noboru Murata, Shun-ichi Amari, Andrzej Cichocki, Tsunehiro Takeda
2002	J	`jnl`	On-line learning in changing environments with applications in supervised and unsupervised learning. Neural Networks Noboru Murata, Motoaki Kawanabe, Andreas Ziehe, Klaus-Robert Müller, Shun-ichi Amari
2001	J	`jnl`	An approach to blind source separation based on temporal structure of speech signals. Neurocomputing Noboru Murata, Shiro Ikeda, Andreas Ziehe
2001	J	`jnl`	Sequential Extraction of Minor Components. Neural Process. Lett. Tianping Chen, Shun-ichi Amari, Noboru Murata
2001	J	`jnl`	Support vector machines with different norms: motivation, formulations and results. Pattern Recognit. Lett. João Pedro Pedroso, Noboru Murata
2000	J	`jnl`	Multiplicative Nonholonomic/Newton -like Algorithm CoRR Toshinao Akuzawa, Noboru Murata
2000	—	`conf`	Optimization on Support Vector Machines. IJCNN (6) João Pedro Pedroso, Noboru Murata
1999	—	`conf`	Population Decoding Based on an Unfaithful Model. NIPS Si Wu, Hiroyuki Nakahara, Noboru Murata, Shun-ichi Amari
1999	J	`jnl`	Statistical analysis of learning dynamics. Signal Process. Noboru Murata, Shun-ichi Amari
1997	J	`jnl`	Asymptotic statistical theory of overtraining and cross-validation. IEEE Trans. Neural Networks Shun-ichi Amari, Noboru Murata, Klaus-Robert Müller, Michael Finke, Howard Hua Yang
1997	Misc	`conf`	Statistical Analysis of Regularization Constant - From Bayes, MDL and NIC Points of View. IWANN Shun-ichi Amari, Noboru Murata
1996	J	`jnl`	A Numerical Study on Learning Curves in Stochastic Multilayer Feedforward Networks. Neural Comput. Klaus-Robert Müller, Michael Finke, Noboru Murata, Klaus Schulten, Shun-ichi Amari
1996	—	`conf`	Adaptive On-line Learning in Changing Environments. NIPS Noboru Murata, Klaus-Robert Müller, Andreas Ziehe, Shun-ichi Amari
1996	J	`jnl`	An Integral Representation of Functions Using Three-layered Networks and Their Approximation Bounds. Neural Networks Noboru Murata
1995	—	`conf`	Statistical Theory of Overtraining - Is Cross-Validation Asymptotically Effective? NIPS Shun-ichi Amari, Noboru Murata, Klaus-Robert Müller, Michael Finke, Howard Hua Yang
1994	J	`jnl`	Network information criterion-determining the number of hidden units for an artificial neural network model. IEEE Trans. Neural Networks Noboru Murata, Shuji Yoshizawa, Shun-ichi Amari
1993	J	`jnl`	Statistical Theory of Learning Curves under Entropic Loss Criterion. Neural Comput. Shun-ichi Amari, Noboru Murata
1992	—	`conf`	Learning Curves, Model Selection and Complexity of Neural Networks. NIPS Noboru Murata, Shuji Yoshizawa, Shun-ichi Amari