Persistence weighted Gaussian kernel for topological data analysis G Kusano, Y Hiraoka, K Fukumizu International conference on machine learning, 2004-2013, 2016 | 228 | 2016 |
Kernel method for persistence diagrams via kernel embedding and weight factor G Kusano, K Fukumizu, Y Hiraoka Journal of Machine Learning Research 18 (189), 1-41, 2018 | 84 | 2018 |
On the expectation of a persistence diagram by the persistence weighted kernel G Kusano Japan Journal of Industrial and Applied Mathematics 36 (3), 861-892, 2019 | 3 | 2019 |
User identity linkage for different behavioral patterns across domains G Kusano, M Oyamada Proceedings of the International AAAI Conference on Web and Social Media 15 …, 2021 | 2 | 2021 |
Relative interleavings and applications to sensor networks Y Hiraoka, G Kusano Japan Journal of Industrial and Applied Mathematics 33, 99-120, 2016 | 1 | 2016 |
Information processing apparatus, analysis method, and storage medium T Nozawa, M Oyamada, Y Dong, G Kusano US Patent App. 18/266,745, 2024 | | 2024 |
Data linkage system, learning device, and estimation device G Kusano, M Oyamada US Patent App. 18/007,786, 2023 | | 2023 |
Data classification system, data classification method, and recording medium G Kusano, T Sakai US Patent App. 17/925,880, 2023 | | 2023 |
Cross-Domain User Similarity without Overlapping Attributes via Optimal Transport Theory G Kusano, M Oyamada Proceedings of ACM SIGIR Workshop on eCommerce (SIGIR eCom’23)., 2023 | | 2023 |