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Fingerprint Dive into the research topics where Kei Kobayashi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 1 Similar Profiles
Crystal growth Engineering & Materials Science
Kernel Regression Mathematics
Statistical Manifold Mathematics
Crystals Engineering & Materials Science
kernel Mathematics
Efficient Estimator Mathematics
Collaborative filtering Engineering & Materials Science
Partial differential equations Engineering & Materials Science

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Research Output 2001 2016

  • 70 Citations
  • 5 h-Index
  • 7 Conference contribution
  • 5 Article

Flattening the density gradient for eliminating spatial centrality to reduce hubness

Hara, K., Suzuki, I., Kobayashi, K., Fukumizu, K. & Radovanovíc, M., 2016, 30th AAAI Conference on Artificial Intelligence, AAAI 2016. AAAI press, p. 1659-1665 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Localized centering: Reducing hubness in large-sample data

Hara, K., Suzuki, I., Shimbo, M., Kobayashi, K., Fukumizu, K. & Radovanovic, M., 2015 Jun 1, Proceedings of the 29th AAAI Conference on Artificial Intelligence, AAAI 2015 and the 27th Innovative Applications of Artificial Intelligence Conference, IAAI 2015. AI Access Foundation, Vol. 4. p. 2645-2651 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Reducing hubness: A cause of vulnerability in recommender systems

Hara, K., Suzuki, I., Kobayashi, K. & Fukumizu, K., 2015 Aug 9, SIGIR 2015 - Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc, p. 815-818 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Collaborative filtering
Recommender systems
Data storage equipment

Reducing hubness for kernel regression

Hara, K., Suzuki, I., Kobayashi, K., Fukumizu, K. & Radovanović, M., 2015, Similarity Search and Applications - 8th International Conference, SISAP 2015, Proceedings. Springer Verlag, Vol. 9371. p. 339-344 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9371).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kernel Regression
kernel
Multicollinearity
Centrality
Feature Space

Statistical analysis via the curvature of data space

Kobayashi, K., Mitsuru, O. & Wynn, H. P., 2015 Jan 1, Bayesian Inference and Maximum Entropy Methods in Science and Engineering, MaxEnt 2014. Mohammad-Djafari, A., Barbaresco, F. & Barbaresco, F. (eds.). American Institute of Physics Inc., p. 97-104 8 p. (AIP Conference Proceedings; vol. 1641).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

statistical analysis
metric space
curvature
cones
theorems