Naonori Ueda

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Autoregressive Tensor Factorization for Spatio-Temporal Predictions

Koh Takeuchi, Hisashi Kashima, Naonori Ueda, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

Naonori Ueda, Kazumi Saito, Takeshi Yamada, 2009, CompleNet.

Optimal linear combination of neural network classifiers based on the minimum classification error criterion

Naonori Ueda, 2000, Systems and Computers in Japan.

A Hybrid Generative/Discriminative Approach to Semi-Supervised Classifier Design

Naonori Ueda, Kazumi Saito, Akinori Fujino, 2005, AAAI.

A Semi-Supervised AUC Optimization Method with Generative Models

Naonori Ueda, Akinori Fujino, N. Ueda, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Fast approximate similarity search based on degree-reduced neighborhood graphs

Naonori Ueda, Hiroshi Sawada, Kazumi Saito, 2011, KDD.

Keyword extraction, ranking, and organization for the neuroinformatics platform

Naonori Ueda, Shiro Usui, Paulito P. Palmes, 2007, Biosyst..

Finding Appropriate Traffic Regulations via Graph Convolutional Networks pdf

Naonori Ueda, Tomoharu Iwata, Hiroshi Sawada, 2018, ArXiv.

Probabilistic latent variable models for unsupervised many-to-many object matching

Naonori Ueda, Tomoharu Iwata, Tsutomu Hirao, 2016, Inf. Process. Manag..

Large-Scale Multiclass Support Vector Machine Training via Euclidean Projection onto the Simplex

Naonori Ueda, Akinori Fujino, Mathieu Blondel, 2014, 2014 22nd International Conference on Pattern Recognition.

Automatic shape model acquisition using multiscale segment matching

Naonori Ueda, S. Suzuki, 1990, [1990] Proceedings. 10th International Conference on Pattern Recognition.

Efficient algorithms for multichannel extensions of Itakura-Saito nonnegative matrix factorization

Hirokazu Kameoka, Naonori Ueda, Hiroshi Sawada, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Parrot-like speaking using optimal vector quantization

Naonori Ueda, Takayuki Yamada, Kazumi Saito, 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

Self-Organization of Feature Columns and its Application to Object Classification

Naonori Ueda, Satoshi Suzuki, 1997, ICONIP.

Law discovery from financial data using neural networks

Shigeru Katagiri, Naonori Ueda, Kazumi Saito, 2000, Proceedings of the IEEE/IAFE/INFORMS 2000 Conference on Computational Intelligence for Financial Engineering (CIFEr) (Cat. No.00TH8520).

Application of variational Bayesian estimation and clustering to acoustic model adaptation

Naonori Ueda, Shinji Watanabe, Atsushi Nakamura, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Modeling of growing networks with directional attachment and communities

Naonori Ueda, Masahiro Kimura, Kazumi Saito, 2003, ESANN.

Estimating People Flow from Spatiotemporal Population Data via Collective Graphical Mixture Models

Naonori Ueda, Tomoharu Iwata, Futoshi Naya, 2017, ACM Trans. Spatial Algorithms Syst..

Automated acquisition of knowledge beyond pathologists

Naonori Ueda, Jun Akatsuka, Hiromu Morikawa, 2019, bioRxiv.

Application Of Image Processing Equipment With Multiprocessors To Line-Drawing Recognition

Naonori Ueda, Hiroshi Ogawa, Etsuo Kawada, 1987, Other Conferences.

Unsupervised extraction of content-related annotations

Naonori Ueda, Tomoharu Iwata, Takeshi Yamada, 2009 .

A new competitive learning approach based on an equidistortion principle for designing optimal vector quantizers

Naonori Ueda, Ryohei Nakano, N. Ueda, 1994, Neural Networks.

Deterministic annealing EM algorithm

Naonori Ueda, Ryohei Nakano, N. Ueda, 1998, Neural Networks.

A matching algorithm of deformed planar curves using multiscale convex/concave structures

Naonori Ueda, Satoshi Suzuki, 1991, Systems and Computers in Japan.

Dynamic Infinite Relational Model for Time-varying Relational Data Analysis

Naonori Ueda, Tomoharu Iwata, Joshua B. Tenenbaum, 2010, NIPS.

Spatio-temporal Data Analysis for Realizing Ambient Intelligence

Naonori Ueda, 2018 .

Variational bayesian estimation and clustering for speech recognition

Naonori Ueda, Shinji Watanabe, Atsushi Nakamura, 2004, IEEE Transactions on Speech and Audio Processing.

Angle-based Convolution Networks for Extracting Local Spatial Features

Koh Takeuchi, Hisashi Kashima, Naonori Ueda, 2018 .

Improving Classifier Performance Using Data with Different Taxonomies

Naonori Ueda, Tomoharu Iwata, Takeshi Yamada, 2011, IEEE Transactions on Knowledge and Data Engineering.

Read the Silence: Well-Timed Recommendation via Admixture Marked Point Processes

Naonori Ueda, Tomoharu Iwata, Yasuhiro Fujiwara, 2017, AAAI.

A Classifier Design Based on Combining Multiple Components by Maximum Entropy Principle

Naonori Ueda, Kazumi Saito, Akinori Fujino, 2005, AIRS.

OBJECT BOUNDARIES REGULARIZATION USING THE DYNAMIC POLYLINE COMPRESSION ALGORITHM

Naonori Ueda, Shattri Mansor, Alfian Abdul Halin, 2018 .

Mobile activity recognition for a whole day: recognizing real nursing activities with big dataset

Naonori Ueda, Sozo Inoue, Yasunobu Nohara, 2015, UbiComp.

Retrieving lightly annotated images using image similarities

Naonori Ueda, Masashi Inoue, 2005, SAC '05.

Real-time and proactive navigation via spatio-temporal prediction

Naonori Ueda, Tomoharu Iwata, Hiroshi Sawada, 2015, UbiComp/ISWC Adjunct.

Automatic shape model acquisition based on a generalization of convex/concave structure

Naonori Ueda, Satoshi Suzuki, 1992, Systems and Computers in Japan.

Estimating Latent People Flow without Tracking Individuals

Naonori Ueda, Tomoharu Iwata, Hiroyuki Toda, 2018, IJCAI.

Bayesian Optimization for Crowd Traffic Control Using Multi-Agent Simulation

Naonori Ueda, Tomoharu Iwata, Hiroshi Sawada, 2019, 2019 IEEE Intelligent Transportation Systems Conference (ITSC).

Extended Tied-Mixture HMMs for Both Labeled and Unlabeled Time Series Data

Naonori Ueda, Masashi Inoue, 2004, J. VLSI Signal Process..

SMEM Algorithm for Mixture Models

Geoffrey E. Hinton, Naonori Ueda, Zoubin Ghahramani, 1998, Neural Computation.

Parametric mixture model for multitopic text

Naonori Ueda, Kazumi Saito, N. Ueda, 2006, Systems and Computers in Japan.

Graph regularized Non-negative Tensor Completion for spatio-temporal data analysis

Koh Takeuchi, Naonori Ueda, N. Ueda, 2016, IWSC@Middleware.

New formulations and efficient algorithms for multichannel NMF

Hirokazu Kameoka, Naonori Ueda, Hiroshi Sawada, 2011, 2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

Cross-Entropy Directed Embedding of Network Data

Naonori Ueda, Kazumi Saito, Takeshi Yamada, 2003, ICML.

Imitation networks: Few-shot learning of neural networks from scratch pdf

Koh Takeuchi, Naonori Ueda, Tomoharu Iwata, 2018, ArXiv.

Extended Parametric Mixture Model for Robust Multi-labeled Text Categorization

Naonori Ueda, Kazumi Saito, Yuji Kaneda, 2004, KES.

Time-delayed Collective Flow Diffusion Models for Inferring Latent People Flow from Aggregated Data at Limited Locations

Naonori Ueda, Tomoharu Iwata, Hiroyuki Toda, 2021 .

Bayesian Unsupervised Word Segmentation with Nested Pitman-Yor Language Modeling

Naonori Ueda, Takeshi Yamada, Daichi Mochihashi, 2009, ACL.

Document Clustering at NTCIR-4 Workshop: Limiting Search Space of the K-Means Method Using Word Occurrence

Naonori Ueda, Kazumi Saito, Yuji Kaneda, 2004, NTCIR.

Predictive Approaches for Low-Cost Preventive Medicine Program in Developing Countries

Masashi Sugiyama, Hisashi Kashima, Naonori Ueda, 2015, KDD.

BAYESIAN ACOUSTIC MODELING FOR SPONTANEOUS SPEECH RECOGNITION

Naonori Ueda, Shinji Watanabe, Atsushi Nakamura, 2004 .

Topic Tracking Model for Analyzing Consumer Purchase Behavior

Naonori Ueda, Tomoharu Iwata, Shinji Watanabe, 2009, IJCAI.

A graph-based approach for moving objects detection from UAV videos

Naonori Ueda, Bahareh Kalantar, Mohsen Zand, 2018, Remote Sensing.

Pivot Learning for Efficient Similarity Search

Naonori Ueda, Kazumi Saito, Manabu Kimura, 2007, KES.

Understanding Nursing Activities with Long-term Mobile Activity Recognition with Big Dataset

Naonori Ueda, Sozo Inoue, Yasunobu Nohara, 2016 .

Tracking Moving Contours Using Energy-Minimizing Elastic Contour Models

Naonori Ueda, Kenji Mase, N. Ueda, 1992, Int. J. Pattern Recognit. Artif. Intell..

Spatio-temporal multidimensional collective data analysis for providing comfortable living anytime and anywhere

Naonori Ueda, Futoshi Naya, N. Ueda, 2018 .

Unsupervised Object Matching for Relational Data pdf

Naonori Ueda, Tomoharu Iwata, N. Ueda, 2018, ArXiv.

Learning Systems of Concepts with an Infinite Relational Model

Thomas L. Griffiths, Naonori Ueda, Joshua B. Tenenbaum, 2006, AAAI.

Formulations and algorithms for multichannel complex NMF

Hirokazu Kameoka, Naonori Ueda, Hiroshi Sawada, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Split and Merge EM Algorithm for Improving Gaussian Mixture Density Estimates

Geoffrey E. Hinton, Naonori Ueda, Zoubin Ghahramani, 2000, J. VLSI Signal Process..

A competitive and selective learning method for designing optimal vector quantizers

Naonori Ueda, R. Nakano, 1993, IEEE International Conference on Neural Networks.

Accelerating Urban Science by Crowdsensing with Civil Officers

Koh Takeuchi, Naonori Ueda, Yasue Kishino, 2018, UbiComp/ISWC Adjunct.

Learning Visual Models from Shape Contours Using Multiscale Convex/Concave Structure Matching

Naonori Ueda, Satoshi Suzuki, 1993, IEEE Trans. Pattern Anal. Mach. Intell..

Visualization of Documents and Concepts in Neuroinformatics with the 3D-SE Viewer

Naonori Ueda, Antoine Naud, Shiro Usui, 2007, Frontiers Neuroinformatics.

Improving Route Traffic Estimation by Considering Staying Population

Naonori Ueda, Tomoharu Iwata, Hiroshi Sawada, 2018, PRIMA.

Collapsed Variational Bayes Inference of Infinite Relational Model pdf

Naonori Ueda, Katsuhiko Ishiguro, Issei Sato, 2014, ArXiv.

Naonori Ueda, Shinji Watanabe, Hiroshi Sawada, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Bayesian model search for mixture models based on optimizing variational bounds

Naonori Ueda, Zoubin Ghahramani, Zoubin Ghahramani, 2002, Neural Networks.

Bayesian relational data analysis

Naonori Ueda, 2012, KDD.

Few-shot learning of neural networks from scratch by pseudo example optimization

Koh Takeuchi, Naonori Ueda, Tomoharu Iwata, 2018, BMVC.

Training human activity recognition for labels with inaccurate time stamps

Naonori Ueda, Sozo Inoue, Shota Tanaka, 2014, UbiComp Adjunct.

Efficient Data Point Pruning for One-Class SVM

Naonori Ueda, Yasuhiro Fujiwara, Yasutoshi Ida, 2019, AAAI.

Deterministic Annealing Variant of the EM Algorithm

Naonori Ueda, Ryohei Nakano, N. Ueda, 1994, NIPS.

Fully Neural Network based Model for General Temporal Point Processes

Kazuyuki Aihara, Naonori Ueda, Takahiro Omi, 2019, NeurIPS.

SCALING BAYESIAN OPTIMIZATION UP TO HIGHER DIMENSIONS: A REVIEW AND COMPARISON OF RECENT ALGORITHMS

Naonori Ueda, Benoît Choffin, N. Ueda, 2018, 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP).

Regional Garbage Amount Estimation and Analysis Using Car-Mounted Motion Sensors

Koh Takeuchi, Naonori Ueda, Yasue Kishino, 2018, UbiComp/ISWC Adjunct.

3D-SEViewer: A TextMiningToolbasedon Bipartite Graph Visualization

Naonori Ueda, Antoine Naud, Shiro Usui, 2007 .

Efficient Algorithm for the b-Matching Graph

Naonori Ueda, Yasuhiro Fujiwara, Atsutoshi Kumagai, 2020, KDD.

Image Enhancement Method for Binarization of Drawings

Naonori Ueda, Makoto Kosugi, Masakazu Nagura, 1988 .

Analysis of Generalization Error on Ensemble Learning

Naonori Ueda, Ryohei Nakano, N. Ueda, 1997 .

Introduction to Nonparametric Bayesian Models

Naonori Ueda, Takeshi Yamada, N. Ueda, 2007 .

Large-Scale Personalized Human Activity Recognition Using Online Multitask Learning

Xu Sun, Hisashi Kashima, Naonori Ueda, 2013, IEEE Transactions on Knowledge and Data Engineering.

Recognizing and Understanding Nursing Activities for a Whole Day with a Big Dataset

Naonori Ueda, Sozo Inoue, Yasunobu Nohara, 2016, J. Inf. Process..

Importance-weighted least-squares probabilistic classifier for covariate shift adaptation with application to human activity recognition

Masashi Sugiyama, Naonori Ueda, Hirotaka Hachiya, 2012, Neurocomputing.

Modeling Social Annotation Data with Content Relevance using a Topic Model

Naonori Ueda, Tomoharu Iwata, Takeshi Yamada, 2009, NIPS.

Single-shot detection of multiple categories of text using parametric mixture models

Naonori Ueda, Kazumi Saito, N. Ueda, 2002, KDD.

Adaptive clustering using modular learning architecture

Naonori Ueda, Satoshi Suzuki, 2003, Systems and Computers in Japan.

Adaptive Data Pruning for Support Vector Machines

Naonori Ueda, Yasuhiro Fujiwara, Yasutoshi Ida, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Single-Epoch Supernova Classification with Deep Convolutional Neural Networks

Naonori Ueda, Ichiro Takahashi, Akisato Kimura, 2017, 2017 IEEE 37th International Conference on Distributed Computing Systems Workshops (ICDCSW).

A hybrid generative/discriminative approach to text classification with additional information

Naonori Ueda, Kazumi Saito, Akinori Fujino, 2007, Inf. Process. Manag..

Optimal Linear Combination of Neural Networks for Improving Classification Performance

Naonori Ueda, N. Ueda, 2000, IEEE Trans. Pattern Anal. Mach. Intell..

Fast and Exact Monitoring of Co-Evolving Data Streams

Naonori Ueda, Masatoshi Yoshikawa, Yasushi Sakurai, 2014, 2014 IEEE International Conference on Data Mining.

Competitive and selective learning method for vector quantizer design - Equidistortion principle and its algorithm

Naonori Ueda, Ryohei Nakano, N. Ueda, 1995, Systems and Computers in Japan.

Large Scale Real-Life Action Recognition Using Conditional Random Fields with Stochastic Training

Xu Sun, Hisashi Kashima, Naonori Ueda, 2011, PAKDD.

Graph-Based Thinning for Binary Images

Naonori Ueda, Satoshi Suzuki, Jack Sklansky, 1993, Int. J. Pattern Recognit. Artif. Intell..

Multi-output Polynomial Networks and Factorization Machines

Naonori Ueda, Takuma Otsuka, Vlad Niculae, 2017, NIPS.

Visualizing Documents based on Topic Models

Naonori Ueda, Tomoharu Iwata, Takeshi Yamada, 2009 .

Exploitation of Unlabeled Sequences in Hidden Markov Models

Naonori Ueda, Masashi Inoue, 2003, IEEE Trans. Pattern Anal. Mach. Intell..

A Study on Multi - topic Text Models

Naonori Ueda, Kazumi Saito, N. Ueda, 2004 .

Subset Infinite Relational Models

Naonori Ueda, Hiroshi Sawada, Katsuhiko Ishiguro, 2012, AISTATS.

Convex Factorization Machines

Naonori Ueda, Akinori Fujino, Mathieu Blondel, 2015, ECML/PKDD.

Robust vectorization using graph-based thinning and reliability-based line approximation

Naonori Ueda, Satoshi Suzuki, 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Semisupervised Learning for a Hybrid Generative/Discriminative Classifier based on the Maximum Entropy Principle

Naonori Ueda, Kazumi Saito, Akinori Fujino, 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information

Naonori Ueda, Tomoharu Iwata, Hiroyuki Toda, 2019, KDD.

Simultaneous clustering and tracking unknown number of objects

Naonori Ueda, Takeshi Yamada, Katsuhiko Ishiguro, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Optimal linear combination of neural network classifiers based on the minimum classification error criterion

Naonori Ueda, N. Ueda, 2000, Systems and Computers in Japan.

Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms pdf

Naonori Ueda, Masakazu Ishihata, Akinori Fujino, 2016, ICML.

Rectangular Tiling Process

Naonori Ueda, Takeshi Yamada, Masahiro Nakano, 2014, ICML.

Parametric Mixture Models for Multi-Labeled Text

Naonori Ueda, Kazumi Saito, N. Ueda, 2002, NIPS.

Matching Between Document Taxonomies using Probabilistic Models

Naonori Ueda, Kazumi Saito, Yuji Kaneda, 2004 .

Tracking Moving Contours Using Energy-Minimizing Elastic Contour Models

Naonori Ueda, Kenji Mase, 1992, ECCV.

EM algorithm with split and merge operations for mixture models

Naonori Ueda, Ryohei Nakano, N. Ueda, 2000, Systems and Computers in Japan.

Application of Variational Bayesian Approach to Speech Recognition

Naonori Ueda, Shinji Watanabe, Atsushi Nakamura, 2002, NIPS.

Parametric Embedding for Class Visualization

Thomas L. Griffiths, Naonori Ueda, Tomoharu Iwata, 2004, Neural Computation.

RAST: A Related Abstract Search Tool

Naonori Ueda, Shiro Usui, Tatsuki Taniguchi, 2009, ICONIP.

Higher-Order Factorization Machines

Naonori Ueda, Masakazu Ishihata, Akinori Fujino, 2016, NIPS.

Modeling Noisy Annotated Data with Application to Social Annotation

Naonori Ueda, Tomoharu Iwata, Takeshi Yamada, 2013, IEEE Transactions on Knowledge and Data Engineering.

3D-SE Viewer: A Text Mining Tool based on Bipartite Graph Visualization

Naonori Ueda, Antoine Naud, Shiro Usui, 2007, 2007 International Joint Conference on Neural Networks.

Parametric mixture model for multitopic text

Naonori Ueda, Kazumi Saito, 2006 .

Extracting Keywords from Research Abstracts for the Neuroinformatics Platform Index Tree

Naonori Ueda, Shiro Usui, Paulito P. Palmes, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Averaged Collapsed Variational Bayes Inference

Naonori Ueda, Katsuhiko Ishiguro, Issei Sato, 2017, J. Mach. Learn. Res..

Datafying city: Detecting and accumulating spatio-temporal events by vehicle-mounted sensors

Koh Takeuchi, Naonori Ueda, Yasue Kishino, 2017, 2017 IEEE International Conference on Big Data (Big Data).

One-shot Collaborative Filtering

Naonori Ueda, Shuhei Kuwata, N. Ueda, 2007, 2007 IEEE Symposium on Computational Intelligence and Data Mining.

Partial AUC Maximization via Nonlinear Scoring Functions pdf

Naonori Ueda, Akinori Fujino, N. Ueda, 2018, ArXiv.

Infinite Plaid Models for Infinite Bi-Clustering

Naonori Ueda, Masahiro Nakano, Katsuhiko Ishiguro, 2016, AAAI.

Semi-Supervised Learning for Multi-Component Data Classification

Naonori Ueda, Kazumi Saito, Akinori Fujino, 2007, IJCAI.

Image Enhancement Of Handwritten Drawings And Their Recognition Followed By Interactive Processing

Naonori Ueda, Masashi Okudaira, Tsuyoshi Aoki, 1986, Other Conferences.

A Hybrid Generative/Discriminative Classifier Design for Semi-supervised Learing

Naonori Ueda, Kazumi Saito, Akinori Fujino, 2006 .

Constructing shared-state hidden Markov models based on a Bayesian approach

Naonori Ueda, Shinji Watanabe, Atsushi Nakamura, 2002, INTERSPEECH.

Landslide susceptibility mapping at Dodangeh watershed, Iran using LR and ANN models in GIS

Naonori Ueda, Bahareh Kalantar, Biswajeet Pradhan, 2018, Remote Sensing.

Modeling network growth with directional attachment and communities

Naonori Ueda, Masahiro Kimura, Kazumi Saito, 2004 .

Mobile Activity Recognition through Training Labels with Inaccurate Activity Segments

Naonori Ueda, Sozo Inoue, Takamichi Toda, 2016, MobiQuitous.

RAST: finding related documents based on triplet similarity

Naonori Ueda, Shiro Usui, Tatsuki Taniguchi, 2010, Neural Computing and Applications.

Multinomial PCA forExtracting Major Latent Topicsfrom DocumentStreams

Naonori Ueda, 2005 .

Topic Models for Unsupervised Cluster Matching

Naonori Ueda, Tomoharu Iwata, Tsutomu Hirao, 2018, IEEE Transactions on Knowledge and Data Engineering.

Proactive People-flow Navigation Based on Spatio-temporal Prediction

Naonori Ueda, 2016 .

SmartCities'15: international workshop on smart cities: people, technology and data

Morito Matsuoka, Naonori Ueda, Luis Muñoz, 2015, UbiComp/ISWC Adjunct.

Unsupervised Cluster Matching via Probabilistic Latent Variable Models

Naonori Ueda, Tomoharu Iwata, Tsutomu Hirao, 2013, AAAI.

Sequential Modeling of Topic Dynamics with Multiple Timescales

Naonori Ueda, Tomoharu Iwata, Yasushi Sakurai, 2012, TKDD.

Scaling Locally Linear Embedding

Koh Takeuchi, Naonori Ueda, Tomoharu Iwata, 2017, SIGMOD Conference.

A robust semi-supervised classification method for transfer learning

Naonori Ueda, Masaaki Nagata, Akinori Fujino, 2010, CIKM.

Selection of Shared-State Hidden Markov Model Structure Using Bayesian Criterion

Naonori Ueda, Shinji Watanabe, Atsushi Nakamura, 2005, IEICE Trans. Inf. Syst..

A contour tracking method using an elastic contour model and an energy-minimization approach

Naonori Ueda, Yasuhito Suenaga, Kenji Mase, 1993, Systems and Computers in Japan.

Visual nonlinear discriminant analysis for classifier design

Naonori Ueda, Tomoharu Iwata, Kazumi Saito, 2006, ESANN.

Generalization error of ensemble estimators

Naonori Ueda, Ryohei Nakano, N. Ueda, 1996, Proceedings of International Conference on Neural Networks (ICNN'96).

Probabilistic latent semantic visualization: topic model for visualizing documents

Naonori Ueda, Tomoharu Iwata, Takeshi Yamada, 2008, KDD.

Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust, and Fast Training Method

Xu Sun, Hisashi Kashima, Naonori Ueda, 2010, 2010 IEEE International Conference on Data Mining.

Adaptive semi-supervised learning on labeled and unlabeled data with different distributions

Naonori Ueda, Masaaki Nagata, Akinori Fujino, 2012, Knowledge and Information Systems.

Online Passive-Aggressive Algorithms for Non-Negative Matrix Factorization and Completion

Naonori Ueda, Yotaro Kubo, Mathieu Blondel, 2014, AISTATS.

Modeling of growing networks with communities

Naonori Ueda, Masahiro Kimura, Kazumi Saito, 2002, Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing.

A New Multi-task Learning Method for Personalized Activity Recognition

Xu Sun, Hisashi Kashima, Naonori Ueda, 2011, 2011 IEEE 11th International Conference on Data Mining.

SVD-Based Screening for the Graphical Lasso

Koh Takeuchi, Naonori Ueda, Tomoharu Iwata, 2017, IJCAI.

Adaptive clustering method using modular learning architecture

Naonori Ueda, Satoshi Suzuki, 1999 .

Fast and Accurate Anchor Graph-based Label Prediction

Naonori Ueda, Atsutoshi Kumagai, Yasutoshi Ida, 2021, CIKM.

Development of UAV-Based PM2.5 Monitoring System

Naonori Ueda, Bahareh Kalantar, Shattri Mansor, 2021, Drones.

Deep Mixture Point Processes: Spatio-Temporal Event Prediction with External Factor

Hisashi Kashima, Naonori Ueda, Tomoharu Iwata, 2021 .

Accelerated Diffusion-Based Sampling by the Non-Reversible Dynamics with Skew-Symmetric Matrices

Naonori Ueda, Tomoharu Iwata, Issei Sato, 2021, Entropy.

Subset-binding: A novel algorithm to detect paired itemsets from heterogeneous data including biological datasets

Naonori Ueda, Kenji Mizuguchi, Yayoi Natsume-Kitatani, 2021 .

Fast scalable implicit solver with convergence of equation-based modeling and data-driven learning: earthquake city simulation on low-order unstructured finite element

Naonori Ueda, Tsuyoshi Ichimura, Muneo Hori, 2021, PASC.

Fast Algorithm for Anchor Graph Hashing

Naonori Ueda, Atsutoshi Kumagai, Yasuhiro Fujiwara, 2021, Proc. VLDB Endow..

152K-computer-node parallel scalable implicit solver for dynamic nonlinear earthquake simulation

Naonori Ueda, Tsuyoshi Ichimura, Muneo Hori, 2022, HPC Asia.

Monotonic Neural Network for Ground-Motion Predictions to Avoid Overfitting to Recorded Sites

Naonori Ueda, Hiroyuki Fujiwara, Nobuyuki Morikawa, 2021, Seismological Research Letters.

Deep Neural Network Utilizing Remote Sensing Datasets for Flood Hazard Susceptibility Mapping in Brisbane, Australia

Naonori Ueda, Bahareh Kalantar, Saeid Janizadeh, 2021, Remote. Sens..

Fast Similarity Computation for t-SNE

Naonori Ueda, Atsutoshi Kumagai, Yasuhiro Fujiwara, 2021, 2021 IEEE 37th International Conference on Data Engineering (ICDE).

Application of an Ensemble Statistical Approach in Spatial Predictions of Bushfire Probability and Risk Mapping

Naonori Ueda, Bahareh Kalantar, Haluk Ozener, 2021, J. Sensors.

Ground-Motion Prediction Model Based on Neural Networks to Extract Site Properties from Observational Records

Naonori Ueda, Tomoharu Iwata, Hiroyuki Fujiwara, 2021 .

The Effect of War on Land Use Dynamics in Mosul Iraq Using Remote Sensing and GIS Techniques

Naonori Ueda, Bahareh Kalantar, Huda Jamal Jumaah, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

Spatio-temporal clustering of earthquakes based on distribution of magnitudes

Naonori Ueda, Kazuro Hirahara, Yuki Yamagishi, 2021, Appl. Netw. Sci..

Loss function based second-order Jensen inequality and its application to particle variational inference pdf

Naonori Ueda, Tomoharu Iwata, Masashi Sugiyama, 2021, NeurIPS.

Automated Building Detection from Airborne LiDAR and Very High-Resolution Aerial Imagery with Deep Neural Network

Naonori Ueda, Bahareh Kalantar, Shattri Mansor, 2021, Remote. Sens..

Health Checkup and Telemedical Intervention Program for Preventive Medicine in Developing Countries: Verification Study

Masashi Sugiyama, Hisashi Kashima, Naonori Ueda, 2015, Journal of medical Internet research.

Multichannel Extensions of Nonnegative Matrix Factorization

Hirokazu Kameoka, Naonori Ueda, Hiroshi Sawada, 2012 .

The Hyper Suprime-Cam SSP transient survey in COSMOS: Overview

Naonori Ueda, Shiro Ikeda, Akisato Kimura, 2019, Publications of the Astronomical Society of Japan.

Pattern classification using a mixture of factor analyzers

Geoffrey E. Hinton, Naonori Ueda, Zoubin Ghahramani, 1999, Neural Networks for Signal Processing IX: Proceedings of the 1999 IEEE Signal Processing Society Workshop (Cat. No.98TH8468).

EM algorithm with split and merge operations for mixture models

Naonori Ueda, Ryohei Nakano, 2000 .

Machine-learning selection of optical transients in the Subaru/Hyper Suprime-Cam survey

Naonori Ueda, Shiro Ikeda, Katsuhiko Ishiguro, 2016 .

Landslide Susceptibility Mapping: Machine and Ensemble Learning Based on Remote Sensing Big Data

Naonori Ueda, Bahareh Kalantar, Alfian Abdul Halin, 2020, Remote. Sens..

AI with Super-computed Data for Monte Carlo Earthquake Hazard Classification

Naonori Ueda, Tsuyoshi Ichimura, Muneo Hori, 2017 .

Robust Naive Bayes Combination of Multiple Classifications

Naonori Ueda, Akinori Fujino, Yusuke Tanaka, 2014 .

Collaborative Filtering Efficiently Using Purchase Orders

Naonori Ueda, Tomoharu Iwata, N. Ueda, 2008 .