Naonori Ueda

According to our database1, Naonori Ueda authored at least 192 papers between 1990 and 2024.

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Bibliography

2024
Neural Operators Meet Energy-based Theory: Operator Learning for Hamiltonian and Dissipative PDEs.
CoRR, 2024

2023
Centrality measure and visualization technique for multiple-parent nodes of earthquakes based on correlation-metric.
Appl. Netw. Sci., December, 2023

Efficient Network Representation Learning via Cluster Similarity.
Data Sci. Eng., September, 2023

CoordiNet: Constrained Dynamics Learning for State Coordination Over Graph.
IEEE Trans. Signal Inf. Process. over Networks, 2023

Meta-learning of Physics-informed Neural Networks for Efficiently Solving Newly Given PDEs.
CoRR, 2023

Moving Object Detection by Low-Rank Analysis of Region-Based Correlated Motion Fields.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Development of 3D Viscoelastic Crustal Deformation Analysis Solver with Data-Driven Method on GPU.
Proceedings of the Computational Science - ICCS 2023, 2023

2022
Unboxing the Black Box of Attention Mechanisms in Remote Sensing Big Data Using XAI.
Remote. Sens., December, 2022

BDD-Net: An End-to-End Multiscale Residual CNN for Earthquake-Induced Building Damage Detection.
Remote. Sens., 2022

Fire-Net: A Deep Learning Framework for Active Forest Fire Detection.
J. Sensors, 2022

Fusion of the Multisource Datasets for Flood Extent Mapping Based on Ensemble Convolutional Neural Network (CNN) Model.
J. Sensors, 2022

Earthquake-Induced Ground Deformation Assessment via Sentinel-1 Radar Aided at Darbandikhan Town.
J. Sensors, 2022

Excess risk analysis for epistemic uncertainty with application to variational inference.
CoRR, 2022

Scalable Finite-Element Viscoelastic Crustal Deformation Analysis Accelerated with Data-Driven Method.
Proceedings of the IEEE/ACM Workshop on Latest Advances in Scalable Algorithms for Large-Scale Heterogeneous Systems, 2022

Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

District Characteristics Analysis with Regional Garbage Amount Estimation Using Vehicle- Mounted Motion Sensors.
Proceedings of the IEEE International Smart Cities Conference, 2022

Deep Ensemble Learning for Land Cover Classification Based on Hyperspectral Prisma Image.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

A Deep Learning Approach for Automated Building Outlines Extraction in Compact Urban Environments.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

152K-computer-node parallel scalable implicit solver for dynamic nonlinear earthquake simulation.
Proceedings of the HPC Asia 2022: International Conference on High Performance Computing in Asia-Pacific Region, Virtual Event, Japan, January 12, 2022

Fast Binary Network Hashing via Graph Clustering.
Proceedings of the IEEE International Conference on Big Data, 2022

Nonparametric Relational Models with Superrectangulation.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Predictive variational Bayesian inference as risk-seeking optimization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Position-dependent partial convolutions for supervised spatial interpolation.
Proceedings of the Asian Conference on Machine Learning, 2022

2021
Automated Building Detection from Airborne LiDAR and Very High-Resolution Aerial Imagery with Deep Neural Network.
Remote. Sens., 2021

Deep Neural Network Utilizing Remote Sensing Datasets for Flood Hazard Susceptibility Mapping in Brisbane, Australia.
Remote. Sens., 2021

Fast Algorithm for Anchor Graph Hashing.
Proc. VLDB Endow., 2021

Application of an Ensemble Statistical Approach in Spatial Predictions of Bushfire Probability and Risk Mapping.
J. Sensors, 2021

Geospatial Multicriteria Analysis for Earthquake Risk Assessment: Case Study of Fujairah City in the UAE.
J. Sensors, 2021

Accelerated Diffusion-Based Sampling by the Non-Reversible Dynamics with Skew-Symmetric Matrices.
Entropy, 2021

Spatio-temporal clustering of earthquakes based on distribution of magnitudes.
Appl. Netw. Sci., 2021

Time-delayed collective flow diffusion models for inferring latent people flow from aggregated data at limited locations.
Artif. Intell., 2021

GPU Porting of Scalable Implicit Solver with Green's Function-Based Neural Networks by OpenACC.
Proceedings of the Accelerator Programming Using Directives - 8th International Workshop, 2021

Magnitude-Weighted Mean-Shift Clustering with Leave-One-Out Bandwidth Estimation.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

Fast scalable implicit solver with convergence of equation-based modeling and data-driven learning: earthquake city simulation on low-order unstructured finite element.
Proceedings of the PASC '21: Platform for Advanced Scientific Computing Conference, 2021

Permuton-induced Chinese Restaurant Process.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Loss function based second-order Jensen inequality and its application to particle variational inference.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

The Effect of War on Land Use Dynamics in Mosul Iraq Using Remote Sensing and GIS Techniques.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Fast Similarity Computation for t-SNE.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Constructing Weighted Networks of Earthquakes with Multiple-parent Nodes Based on Correlation-Metric.
Proceedings of the Complex Networks & Their Applications X - Volume 1, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021, Madrid, Spain, November 30, 2021

Fast and Accurate Anchor Graph-based Label Prediction.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Bayesian nonparametric model for arbitrary cubic partitioning.
Proceedings of the Asian Conference on Machine Learning, 2021

Encoder-decoder-based image transformation approach for integrating precipitation forecasts.
Proceedings of the Asian Conference on Machine Learning, 2021

Skew-symmetrically perturbed gradient flow for convex optimization.
Proceedings of the Asian Conference on Machine Learning, 2021

2020
Landslide Susceptibility Mapping: Machine and Ensemble Learning Based on Remote Sensing Big Data.
Remote. Sens., 2020

Forest Fire Susceptibility Prediction Based on Machine Learning Models with Resampling Algorithms on Remote Sensing Data.
Remote. Sens., 2020

Assessment of Convolutional Neural Network Architectures for Earthquake-Induced Building Damage Detection based on Pre- and Post-Event Orthophoto Images.
Remote. Sens., 2020

Mapping Heterogeneous Urban Landscapes from the Fusion of Digital Surface Model and Unmanned Aerial Vehicle-Based Images Using Adaptive Multiscale Image Segmentation and Classification.
Remote. Sens., 2020

Comparison of Machine Learning Methods for Mapping the Stand Characteristics of Temperate Forests Using Multi-Spectral Sentinel-2 Data.
Remote. Sens., 2020

Anomaly detection with inexact labels.
Mach. Learn., 2020

Translation Between Waves, wave2wave.
CoRR, 2020

A Fast Scalable Iterative Implicit Solver with Green's function-based Neural Networks.
Proceedings of the 11th IEEE/ACM Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, 2020

Low-Order Finite Element Solver with Small Matrix-Matrix Multiplication Accelerated by AI-Specific Hardware for Crustal Deformation Computation.
Proceedings of the PASC '20: Platform for Advanced Scientific Computing Conference, Geneva, Switzerland, June 29, 2020

Baxter Permutation Process.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Efficient Algorithm for the b-Matching Graph.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Data-Driven Approach to Inversion Analysis of Three-Dimensional Inner Soil Structure via Wave Propagation Analysis.
Proceedings of the Computational Science - ICCS 2020, 2020

Fast Multi-Step Optimization with Deep Learning for Data-Centric Supercomputing.
Proceedings of the HP3C 2020: 4th International Conference on High Performance Compilation, 2020

Spatio-Temporal Clustering of Earthquakes Based on Average Magnitudes.
Proceedings of the Complex Networks & Their Applications IX, 2020

Semi-Supervised Learning for Maximizing the Partial AUC.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Land Cover Classification from fused DSM and UAV Images Using Convolutional Neural Networks.
Remote. Sens., 2019

Fully Neural Network based Model for General Temporal Point Processes.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Bayesian Optimization for Crowd Traffic Control Using Multi-Agent Simulation.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Conditioning Factors Determination for Landslide Susceptibility Mapping Using Support Vector Machine Learning.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Fast Random Forest Algorithm via Incremental Upper Bound.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Adaptive truncated residual regression for fine-grained regression problems.
Proceedings of The 11th Asian Conference on Machine Learning, 2019

Efficient Data Point Pruning for One-Class SVM.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

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

Finding Appropriate Traffic Regulations via Graph Convolutional Networks.
CoRR, 2018

Unsupervised Object Matching for Relational Data.
CoRR, 2018

Partial AUC Maximization via Nonlinear Scoring Functions.
CoRR, 2018

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

Improving Route Traffic Estimation by Considering Staying Population.
Proceedings of the PRIMA 2018: Principles and Practice of Multi-Agent Systems - 21st International Conference, Tokyo, Japan, October 29, 2018

Scaling Bayesian Optimization up to Higher Dimensions: a Review and Comparison of Recent Algorithms.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

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

Accelerating Urban Science by Crowdsensing with Civil Officers.
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

Regional Garbage Amount Estimation and Analysis Using Car-Mounted Motion Sensors.
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

Few-shot learning of neural networks from scratch by pseudo example optimization.
Proceedings of the British Machine Vision Conference 2018, 2018

Adaptive Data Pruning for Support Vector Machines.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

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

Averaged Collapsed Variational Bayes Inference.
J. Mach. Learn. Res., 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 (IEEE 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.
J. Inf. Process., 2016

Probabilistic latent variable models for unsupervised many-to-many object matching.
Inf. Process. Manag., 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 International Joint Conference on Pervasive and 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. Speech Audio Process., 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.
ACM Trans. Knowl. Discov. Data, 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 Comput. Appl., 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 Comput., 2007

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

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

Keyword extraction, ranking, and organization for the neuroinformatics platform.
Biosyst., 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.
Syst. Comput. Jpn., 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 14th European Symposium on Artificial Neural Networks, 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 Trans. Inf. Syst., 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.
J. VLSI Signal Process., 2004

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

Modeling network growth with directional attachment and communities.
Syst. Comput. Jpn., 2004

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

Document Clustering at NTCIR-4 Workshop: Limiting Search Space of the <i>K</i>-Means Method Using Word Occurrence.
Proceedings of the Fourth NTCIR Workshop on Research in Information Access Technologies Information Retrieval, 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.
Syst. Comput. Jpn., 2003

Use of unlabeled time series data in hidden Markov models.
Syst. Comput. Jpn., 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

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

Modeling of growing networks with communities.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 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.
J. VLSI Signal Process., 2000

EM algorithm with split and merge operations for mixture models.
Syst. Comput. Jpn., 2000

Optimal linear combination of neural network classifiers based on the minimum classification error criterion.
Syst. Comput. Jpn., 2000

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

SMEM Algorithm for Mixture Models.
Neural Comput., 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

1997
Self-Organization of Feature Columns and its Application to Object Classification.
Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

1996
Generalization error of ensemble estimators.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

1995
Competitive and selective learning method for vector quantizer design - Equidistortion principle and its algorithm.
Syst. Comput. Jpn., 1995

Tracking Moving Contours Using Energy-Minimizing Elastic Contour Models.
Int. J. Pattern Recognit. Artif. Intell., 1995

Estimating expected error rates of neural network classifiers in small sample size situations: a comparison of cross-validation and bootstrap.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

Parrot-like speaking using optimal vector quantization.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 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.
Syst. Comput. Jpn., 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.
Int. J. Pattern Recognit. Artif. Intell., 1993

A competitive and selective learning method for designing optimal vector quantizers.
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

1992
Automatic shape model acquisition based on a generalization of convex/concave structure.
Syst. Comput. Jpn., 1992

1991
A matching algorithm of deformed planar curves using multiscale convex/concave structures.
Syst. Comput. Jpn., 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

1990
Automatic shape model acquisition using multiscale segment matching.
Proceedings of the 10th IAPR International Conference on Pattern Recognition, 1990


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