Naonori Ueda

According to our database1, Naonori Ueda
  • authored at least 119 papers between 1991 and 2018.
  • has a "Dijkstra number"2 of five.

Timeline

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Bibliography

2018
Topic Models for Unsupervised Cluster Matching.
IEEE Trans. Knowl. Data Eng., 2018

Partial AUC Maximization via Nonlinear Scoring Functions.
CoRR, 2018

Imitation networks: Few-shot learning of neural networks from scratch.
CoRR, 2018

Estimating Latent People Flow without Tracking Individuals.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Estimating People Flow from Spatiotemporal Population Data via Collective Graphical Mixture Models.
ACM Trans. Spatial Algorithms and Systems, 2017

Averaged Collapsed Variational Bayes Inference.
Journal of Machine Learning Research, 2017

Single-epoch supernova classification with deep convolutional neural networks.
CoRR, 2017

Multi-output Polynomial Networks and Factorization Machines.
CoRR, 2017

Scaling Locally Linear Embedding.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Multi-output Polynomial Networks and Factorization Machines.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

SVD-Based Screening for the Graphical Lasso.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Autoregressive Tensor Factorization for Spatio-Temporal Predictions.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Single-Epoch Supernova Classification with Deep Convolutional Neural Networks.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems Workshops, 2017

Datafying city: Detecting and accumulating spatio-temporal events by vehicle-mounted sensors.
Proceedings of the 2017 IEEE International Conference on Big Data, BigData 2017, 2017

Read the Silence: Well-Timed Recommendation via Admixture Marked Point Processes.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Recognizing and Understanding Nursing Activities for a Whole Day with a Big Dataset.
JIP, 2016

Probabilistic latent variable models for unsupervised many-to-many object matching.
Inf. Process. Manage., 2016

Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms.
CoRR, 2016

Higher-Order Factorization Machines.
CoRR, 2016

Higher-Order Factorization Machines.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Mobile Activity Recognition through Training Labels with Inaccurate Activity Segments.
Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing, 2016

Graph regularized Non-negative Tensor Completion for spatio-temporal data analysis.
Proceedings of the 2nd International Workshop on Smart Cities, 2016

Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms.
Proceedings of the 33nd International Conference on Machine Learning, 2016

A Semi-Supervised AUC Optimization Method with Generative Models.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Infinite Plaid Models for Infinite Bi-Clustering.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Convex Factorization Machines.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Predictive Approaches for Low-Cost Preventive Medicine Program in Developing Countries.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Real-time and proactive navigation via spatio-temporal prediction.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015

SmartCities'15: international workshop on smart cities: people, technology and data.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015

Mobile activity recognition for a whole day: recognizing real nursing activities with big dataset.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015

2014
Collapsed Variational Bayes Inference of Infinite Relational Model.
CoRR, 2014

Large-Scale Multiclass Support Vector Machine Training via Euclidean Projection onto the Simplex.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Rectangular Tiling Process.
Proceedings of the 31th International Conference on Machine Learning, 2014

Fast and Exact Monitoring of Co-Evolving Data Streams.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Training human activity recognition for labels with inaccurate time stamps.
Proceedings of the 2014 ACM Conference on Ubiquitous Computing, 2014

Online Passive-Aggressive Algorithms for Non-Negative Matrix Factorization and Completion.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
Large-Scale Personalized Human Activity Recognition Using Online Multitask Learning.
IEEE Trans. Knowl. Data Eng., 2013

Modeling Noisy Annotated Data with Application to Social Annotation.
IEEE Trans. Knowl. Data Eng., 2013

Multichannel Extensions of Non-Negative Matrix Factorization With Complex-Valued Data.
IEEE Trans. Audio, Speech & Language Processing, 2013

Adaptive semi-supervised learning on labeled and unlabeled data with different distributions.
Knowl. Inf. Syst., 2013

Unsupervised Cluster Matching via Probabilistic Latent Variable Models.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Sequential Modeling of Topic Dynamics with Multiple Timescales.
TKDD, 2012

Subset Infinite Relational Models.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Importance-weighted least-squares probabilistic classifier for covariate shift adaptation with application to human activity recognition.
Neurocomputing, 2012

Bayesian relational data analysis.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Efficient algorithms for multichannel extensions of Itakura-Saito nonnegative matrix factorization.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Improving Classifier Performance Using Data with Different Taxonomies.
IEEE Trans. Knowl. Data Eng., 2011

RAST: finding related documents based on triplet similarity.
Neural Computing and Applications, 2011

New formulations and efficient algorithms for multichannel NMF.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2011

Large Scale Real-Life Action Recognition Using Conditional Random Fields with Stochastic Training.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Fast approximate similarity search based on degree-reduced neighborhood graphs.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

A New Multi-task Learning Method for Personalized Activity Recognition.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Formulations and algorithms for multichannel complex NMF.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Dynamic Infinite Relational Model for Time-varying Relational Data Analysis.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Online multiscale dynamic topic models.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust, and Fast Training Method.
Proceedings of the ICDM 2010, 2010

Fast similarity search on a large speech data set with neighborhood graph indexing.
Proceedings of the IEEE International Conference on Acoustics, 2010

A robust semi-supervised classification method for transfer learning.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
Modeling Social Annotation Data with Content Relevance using a Topic Model.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Topic Tracking Model for Analyzing Consumer Purchase Behavior.
Proceedings of the IJCAI 2009, 2009

RAST: A Related Abstract Search Tool.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

Fast Similarity Search in Small-World Networks.
Proceedings of the Complex Networks, 2009

Bayesian Unsupervised Word Segmentation with Nested Pitman-Yor Language Modeling.
Proceedings of the ACL 2009, 2009

2008
Semisupervised Learning for a Hybrid Generative/Discriminative Classifier based on the Maximum Entropy Principle.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

Probabilistic latent semantic visualization: topic model for visualizing documents.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Simultaneous clustering and tracking unknown number of objects.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Parametric Embedding for Class Visualization.
Neural Computation, 2007

A hybrid generative/discriminative approach to text classification with additional information.
Inf. Process. Manage., 2007

Visualization of documents and concepts in neuroinformatics with the 3D-SE viewer.
Front. Neuroinform., 2007

Keyword extraction, ranking, and organization for the neuroinformatics platform.
Biosystems, 2007

Pivot Learning for Efficient Similarity Search.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

3D-SE Viewer: A Text Mining Tool based on Bipartite Graph Visualization.
Proceedings of the International Joint Conference on Neural Networks, 2007

Semi-Supervised Learning for Multi-Component Data Classification.
Proceedings of the IJCAI 2007, 2007

One-shot Collaborative Filtering.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

2006
Parametric mixture model for multitopic text.
Systems and Computers in Japan, 2006

Extracting Keywords from Research Abstracts for the Neuroinformatics Platform Index Tree.
Proceedings of the International Joint Conference on Neural Networks, 2006

Visual nonlinear discriminant analysis for classifier design.
Proceedings of the ESANN 2006, 2006

Learning Systems of Concepts with an Infinite Relational Model.
Proceedings of the Proceedings, 2006

2005
Selection of Shared-State Hidden Markov Model Structure Using Bayesian Criterion.
IEICE Transactions, 2005

Retrieving lightly annotated images using image similarities.
Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005

A Classifier Design Based on Combining Multiple Components by Maximum Entropy Principle.
Proceedings of the Information Retrieval Technology, 2005

A Hybrid Generative/Discriminative Approach to Semi-Supervised Classifier Design.
Proceedings of the Proceedings, 2005

2004
Extended Tied-Mixture HMMs for Both Labeled and Unlabeled Time Series Data.
VLSI Signal Processing, 2004

Variational bayesian estimation and clustering for speech recognition.
IEEE Trans. Speech and Audio Processing, 2004

Modeling network growth with directional attachment and communities.
Systems and Computers in Japan, 2004

Modeling of growing networks with directional attachment and communities.
Neural Networks, 2004

Document Clustering at NTCIR-4 Workshop: Limiting Search Space of the K-Means Method Using Word Occurrence.
Proceedings of the Fourth NTCIR Workshop on Research in Information Access Technologies Information Retrieval, 2004

Parametric Embedding for Class Visualization.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Extended Parametric Mixture Model for Robust Multi-labeled Text Categorization.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

2003
Adaptive clustering using modular learning architecture.
Systems and Computers in Japan, 2003

Use of unlabeled time series data in hidden Markov models.
Systems and Computers in Japan, 2003

Exploitation of Unlabeled Sequences in Hidden Markov Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2003

Cross-Entropy Directed Embedding of Network Data.
Proceedings of the Machine Learning, 2003

Application of variational Bayesian estimation and clustering to acoustic model adaptation.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Modeling of growing networks with directional attachment and communities.
Proceedings of the ESANN 2003, 2003

2002
Bayesian model search for mixture models based on optimizing variational bounds.
Neural Networks, 2002

Application of Variational Bayesian Approach to Speech Recognition.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Parametric Mixture Models for Multi-Labeled Text.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Single-shot detection of multiple categories of text using parametric mixture models.
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

Constructing shared-state hidden Markov models based on a Bayesian approach.
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

2000
Split and Merge EM Algorithm for Improving Gaussian Mixture Density Estimates.
VLSI Signal Processing, 2000

EM algorithm with split and merge operations for mixture models.
Systems and Computers in Japan, 2000

Optimal linear combination of neural network classifiers based on the minimum classification error criterion.
Systems and Computers in Japan, 2000

Optimal Linear Combination of Neural Networks for Improving Classification Performance.
IEEE Trans. Pattern Anal. Mach. Intell., 2000

SMEM Algorithm for Mixture Models.
Neural Computation, 2000

Law discovery from financial data using neural networks.
Proceedings of the IEEE/IAFE/INFORMS 2000 Conference on Computational Intelligence for Financial Engineering, 2000

1998
Deterministic annealing EM algorithm.
Neural Networks, 1998

SMEM Algorithm for Mixture Models.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

1995
Competitive and selective learning method for vector quantizer design - Equidistortion principle and its algorithm.
Systems and Computers in Japan, 1995

Tracking Moving Contours Using Energy-Minimizing Elastic Contour Models.
IJPRAI, 1995

1994
A new competitive learning approach based on an equidistortion principle for designing optimal vector quantizers.
Neural Networks, 1994

Deterministic Annealing Variant of the EM Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

1993
A contour tracking method using an elastic contour model and an energy-minimization approach.
Systems and Computers in Japan, 1993

Learning Visual Models from Shape Contours Using Multiscale Convex/Concave Structure Matching.
IEEE Trans. Pattern Anal. Mach. Intell., 1993

Graph-Based Thinning for Binary Images.
IJPRAI, 1993

1992
Automatic shape model acquisition based on a generalization of convex/concave structure.
Systems and Computers in Japan, 1992

Tracking Moving Contours Using Energy-Minimizing Elastic Contour Models.
Proceedings of the Computer Vision, 1992

1991
A matching algorithm of deformed planar curves using multiscale convex/concave structures.
Systems and Computers in Japan, 1991

Robust vectorization using graph-based thinning and reliability-based line approximation.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1991


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