基本情報


researchmap会員ID
7000007155

外部リンク

人工知能,機械学習の研究を行っています.とくに大規模高次元データについて,高次元空間における不思議な現象を解明し,解析に役立つ手法の確立を目指しています.

主な業績は,以下にあります.詳しくはホームページをご覧ください.

Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto and Marco Saerens. Investigating the Effectiveness of Laplacian-based Kernels in Hub Reduction, Proceedings of the 26th AAAI Conference on Artificial Intelligence, pp. 1112-1118, 2012.

Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Marco Saerens and Kenji Fukumizu. Centering Similarity Measures to Reduce Hubs. Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pp. 613-623, 2013.

Ikumi Suzuki and Kazuo Hara. Centered kNN Graph for Semi-Supervised Learning, Proceedings of the 40th International ACM SIGIR Conference on Research and Development on Information Retrieval (SIGIR) , pp. 857-860, 2017.

 Ikumi Suzuki Kazuo Hara and Eiji Murakami. Hubness Change Point Detection. Proceedings of the AAAI Conference on Artificial Intelligence(AAAI) (採択率23.4%=3029/12957), 39(12), 12622-12630, 2025.

 


主要な論文

  23

MISC

  8

共同研究・競争的資金等の研究課題

  6