Tomoharu Iwata

According to our database1, Tomoharu Iwata
  • authored at least 91 papers between 2004 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

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

On Reducing Dimensionality of Labeled Data Efficiently.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

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

Student-t Variational Autoencoder for Robust Density Estimation.
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

Unsupervised group matching with application to cross-lingual topic matching without alignment information.
Data Min. Knowl. Discov., 2017

Robust unsupervised cluster matching for network data.
Data Min. Knowl. Discov., 2017

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

Robust Multi-view Topic Modeling by Incorporating Detecting Anomalies.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Structurally Regularized Non-negative Tensor Factorization for Spatio-Temporal Pattern Discoveries.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Learning Latest Classifiers without Additional Labeled Data.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

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

Latent Dimensionality Estimation for Probabilistic Canonical Correlation Analysis Using Normalized Maximum Likelihood Code-Length.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

Exploiting end of sentences and speaker alternations in language modeling for multiparty conversations.
Proceedings of the 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2017

Localized Lasso for High-Dimensional Regression.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Learning Non-Linear Dynamics of Decision Boundaries for Maintaining Classification Performance.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

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

2016
Unsupervised Many-to-Many Object Matching for Relational Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

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

Sparse Network Lasso for Local High-dimensional Regression.
CoRR, 2016

Inferring Latent Triggers of Purchases with Consideration of Social Effects and Media Advertisements.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Identifying Key Observers to Find Popular Information in Advance.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Learning Future Classifiers without Additional Data.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Higher Order Fused Regularization for Supervised Learning with Grouped Parameters.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Cross-Domain Matching for Bag-of-Words Data via Kernel Embeddings of Latent Distributions.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Multiscale recurrent neural network based language model.
Proceedings of the INTERSPEECH 2015, 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

Cross-domain recommendation without shared users or items by sharing latent vector distributions.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Non-Linear Regression for Bag-of-Words Data via Gaussian Process Latent Variable Set Model.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Creating Stories from Socially Curated Microblog Messages.
IEICE Transactions, 2014

Collaboration on Social Media: Analyzing Successful Projects on Social Coding.
CoRR, 2014

Multi-view Anomaly Detection via Probabilistic Latent Variable Models.
CoRR, 2014

Warped Mixtures for Nonparametric Cluster Shapes.
CoRR, 2014

Generating structure of latent variable models for nested data.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Latent Support Measure Machines for Bag-of-Words Data Classification.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Probabilistic latent network visualization: inferring and embedding diffusion networks.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013
Managing information disparity in multilingual document collections.
TSLP, 2013

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

Influence relation estimation based on lexical entrainment in conversation.
Speech Communication, 2013

Travel route recommendation using geotagged photos.
Knowl. Inf. Syst., 2013

Topic model for analyzing purchase data with price information.
Data Min. Knowl. Discov., 2013

Geo topic model: joint modeling of user's activity area and interests for location recommendation.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Warped Mixtures for Nonparametric Cluster Shapes.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Discovering latent influence in online social activities via shared cascade poisson processes.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

A Probabilistic Behavior Model for Discovering Unrecognized Knowledge.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Clustering-based anomaly detection in multi-view data.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

A Probabilistic Model for Diversifying Recommendation Lists.
Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013

Active Learning for Interactive Visualization.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

Latent Semantic Matching: Application to Cross-language Text Categorization without Alignment Information.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 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

A Topic Model for Recommending Movies via Linked Open Data.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence, 2012

Bidirectional Semi-supervised Learning with Graphs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Fast mining and forecasting of complex time-stamped events.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Creating Stories: Social Curation of Twitter Messages.
Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012

Effect of dialog acts on word use in polylogue.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Handling uncertain observations in unsupervised topic-mixture language model adaptation.
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

Recommendation for English multiple-choice cloze questions based on expected test scores.
KES Journal, 2011

Topic tracking language model for speech recognition.
Computer Speech & Language, 2011

Strength of social influence in trust networks in product review sites.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Learning Influences from Word Use in Polylogue.
Proceedings of the INTERSPEECH 2011, 2011

Fashion Coordinates Recommender System Using Photographs from Fashion Magazines.
Proceedings of the IJCAI 2011, 2011

Modelling User Behaviour and Interactions: Augmented Cognition on the Social Web.
Proceedings of the Foundations of Augmented Cognition. Directing the Future of Adaptive Systems, 2011

Extracting multi-dimensional relations: a generative model of groups of entities in a corpus.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Transfer Learning for Multiple-Domain Sentiment Analysis - Identifying Domain Dependent/Independent Word Polarity.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Knowledge network for English grammar learning support system.
IJAIP, 2010

Modeling Multiple Users' Purchase over a Single Account for Collaborative Filtering.
Proceedings of the Web Information Systems Engineering - WISE 2010, 2010

Application of topic tracking model to language model adaptation and meeting analysis.
Proceedings of the 2010 IEEE Spoken Language Technology Workshop, 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

Effective Question Recommendation Based on Multiple Features for Question Answering Communities.
Proceedings of the Fourth International Conference on Weblogs and Social Media, 2010

Capturing implicit user influence in online social sharing.
Proceedings of the HT'10, 2010

Travel route recommendation using geotags in photo sharing sites.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Learning Common Grammar from Multilingual Corpus.
Proceedings of the ACL 2010, 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

2008
Recommendation Method for Improving Customer Lifetime Value.
IEEE Trans. Knowl. Data Eng., 2008

Recommendation Algorithm for Learning Materials That Maximizes Expected Test Scores.
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

English Grammar Learning System Based on Knowledge Network of Fill-in-the-Blank Exercises.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 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

2007
Parametric Embedding for Class Visualization.
Neural Computation, 2007

Modeling user behavior in recommender systems based on maximum entropy.
Proceedings of the 16th International Conference on World Wide Web, 2007

Organization of Discussion Knowledge Graph from Collaborative Learning Record.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

2006
Recommendation method for extending subscription periods.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

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

2005
Visualization of Anomalies Using Mixture Models.
J. Intelligent Manufacturing, 2005

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

Visualisation of Anomaly Using Mixture Model.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004


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