Koh Takeuchi

According to our database1, Koh Takeuchi authored at least 26 papers between 2012 and 2020.

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Bibliography

2020
Proximity Preserving Nonnegative Matrix Factorization.
J. Inf. Process., 2020

New Attributed Graph Clustering by Bridging Attribute and Topology Spaces.
J. Inf. Process., 2020

Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance.
Proceedings of the 37th International Conference on Machine Learning, 2020

Succinct Trit-array Trie for Scalable Trajectory Similarity Search.
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

Simultaneous Link Prediction on Unaligned Networks Using Graph Embedding and Optimal Transport.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

2019
Time Series Link Prediction Using NMF.
J. Inf. Process., 2019

Variational Inference of Penalized Regression with Submodular Functions.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

2018
Non-linear Attributed Graph Clustering by Symmetric NMF with PU Learning.
CoRR, 2018

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

Mobile Network Failure Event Detection and Forecasting With Multiple User Activity Data Sets.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

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

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

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

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

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

Graph regularized Non-negative Tensor Completion for spatio-temporal data analysis.
Proceedings of the 2nd International Workshop on Smart Cities, 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 recommendation without shared users or items by sharing latent vector distributions.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2013
Non-Negative Multiple Matrix Factorization.
Proceedings of the IJCAI 2013, 2013

Non-negative Multiple Tensor Factorization.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
Towards Automatic Image Understanding and Mining via Social Curation.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012


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