Koh Takeuchi

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

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2020

Proximity Preserving Nonnegative Matrix Factorization.

Yuya Ogawa, Koh Takeuchi, Yuya Sasaki, Makoto Onizuka

J. Inf. Process., 2020

New Attributed Graph Clustering by Bridging Attribute and Topology Spaces.

Seiji Maekawa, Koh Takeuchi, Makoto Onizuka

J. Inf. Process., 2020

Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance.

Yasutoshi Ida, Sekitoshi Kanai, Yasuhiro Fujiwara, Tomoharu Iwata, Koh Takeuchi, Hisashi Kashima

Proceedings of the 37th International Conference on Machine Learning, 2020

Succinct Trit-array Trie for Scalable Trajectory Similarity Search.

Shunsuke Kanda, Koh Takeuchi, Keisuke Fujii, Yasuo Tabei

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.

Luu Huu Phuc, Koh Takeuchi, Makoto Yamada, Hisashi Kashima

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

2019

Time Series Link Prediction Using NMF.

Faith W. Mutinda, Atsuhiro Nakashima, Koh Takeuchi, Yuya Sasaki, Makoto Onizuka

J. Inf. Process., 2019

Variational Inference of Penalized Regression with Submodular Functions.

Koh Takeuchi, Yuichi Yoshida, Yoshinobu Kawahara

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

2018

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

Seiji Maekawa, Koh Takeuchi, Makoto Onizuka

CoRR, 2018

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

Akisato Kimura, Zoubin Ghahramani, Koh Takeuchi, Tomoharu Iwata, Naonori Ueda

CoRR, 2018

Accelerating Urban Science by Crowdsensing with Civil Officers.

Takuro Yonezawa, Koh Takeuchi, Tomotaka Ito, Mina Sakamura, Yasue Kishino, Futoshi Naya, Naonori Ueda, Jin Nakazawa

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.

Yasue Kishino, Yoshinari Shirai, Koh Takeuchi, Takayuki Suyama, Futoshi Naya, Naonori Ueda

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.

Akisato Kimura, Zoubin Ghahramani, Koh Takeuchi, Tomoharu Iwata, Naonori Ueda

Proceedings of the British Machine Vision Conference 2018, 2018

Mobile Network Failure Event Detection and Forecasting With Multiple User Activity Data Sets.

Motoyuki Oki, Koh Takeuchi, Yukio Uematsu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Scaling Locally Linear Embedding.

Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Structurally Regularized Non-negative Tensor Factorization for Spatio-Temporal Pattern Discoveries.

Koh Takeuchi, Yoshinobu Kawahara, Tomoharu Iwata

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

SVD-Based Screening for the Graphical Lasso.

Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Autoregressive Tensor Factorization for Spatio-Temporal Predictions.

Koh Takeuchi, Hisashi Kashima, Naonori Ueda

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

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

Yasue Kishino, Koh Takeuchi, Yoshinari Shirai, Futoshi Naya, Naonori Ueda

Proceedings of the 2017 IEEE International Conference on Big Data, BigData 2017, 2017

Localized Lasso for High-Dimensional Regression.

Makoto Yamada, Koh Takeuchi, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Sparse Network Lasso for Local High-dimensional Regression.

Makoto Yamada, Koh Takeuchi, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski

CoRR, 2016

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

Koh Takeuchi, Naonori Ueda

Proceedings of the 2nd International Workshop on Smart Cities, 2016

2015

Higher Order Fused Regularization for Supervised Learning with Grouped Parameters.

Koh Takeuchi, Yoshinobu Kawahara, Tomoharu Iwata

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Cross-domain recommendation without shared users or items by sharing latent vector distributions.

Tomoharu Iwata, Koh Takeuchi

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2013

Non-Negative Multiple Matrix Factorization.

Koh Takeuchi, Katsuhiko Ishiguro, Akisato Kimura, Hiroshi Sawada

Proceedings of the IJCAI 2013, 2013

Non-negative Multiple Tensor Factorization.

Koh Takeuchi, Ryota Tomioka, Katsuhiko Ishiguro, Akisato Kimura, Hiroshi Sawada

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012

Towards Automatic Image Understanding and Mining via Social Curation.

Katsuhiko Ishiguro, Akisato Kimura, Koh Takeuchi

Proceedings of the 12th IEEE International Conference on Data Mining, 2012