If you made any changes in Pure these will be visible here soon.

Research Output 2001 2016

  • 70 Citations
  • 5 h-Index
  • 7 Conference contribution
  • 5 Article
2016
3 Citations (Scopus)

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

2015
14 Citations (Scopus)

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
2013
1 Citation (Scopus)

Asymptotically efficient estimators for algebraic statistical manifolds

Kobayashi, K. & Wynn, H. P., 2013, Geometric Science of Information - First International Conference, GSI 2013, Proceedings. Vol. 8085 LNCS. p. 721-728 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8085 LNCS).

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

Statistical Manifold
Efficient Estimator
Algebraic Statistics
Estimating Equation
Statistics
2008
5 Citations (Scopus)

Bayesian shrinkage prediction for the regression problem

Kobayashi, K. & Komaki, F., 2008 Oct, In : Journal of Multivariate Analysis. 99, 9, p. 1888-1905 18 p.

Research output: Contribution to journalArticle

Shrinkage
Predictive Distribution
Regression
Covariance matrix
Prediction
2006
12 Citations (Scopus)

Information criteria for support vector machines

Kobayashi, K. & Komaki, F., 2006 May, In : IEEE Transactions on Neural Networks. 17, 3, p. 571-577 7 p.

Research output: Contribution to journalArticle

Information Criterion
Support vector machines
Logistics
Support Vector Machine
Regularization

Parallel matching for ranking all teams in a tournament

Kobayashi, K., Kawasaki, H. & Takemura, A., 2006 Sep, In : Advances in Applied Probability. 38, 3, p. 804-826 23 p.

Research output: Contribution to journalArticle

Tournament
Sorting
Ranking
Lattice Paths
Sorting algorithm
2002
Crystal growth
Motion planning
Mobile robots
Partial differential equations
Crystals
28 Citations (Scopus)

Crystal Voronoi diagram and its applications

Kobayashi, K. & Sugihara, K., 2002 Apr, In : Future Generation Computer Systems. 18, 5, p. 681-692 12 p.

Research output: Contribution to journalArticle

Crystals
Approximation algorithms
Crystal growth
Finite difference method
Partial differential equations
2001
6 Citations (Scopus)

Crystal voronoi diagram and its applications to collision-free paths

Kobayashi, K. & Sugihara, K., 2001, Computational Science - ICCS 2001 - International Conference, 2001, Proceedings. Springer Verlag, Vol. 2073. p. 738-747 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2073).

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

Voronoi Diagram
Crystal
Collision
Fast Marching Method
Crystals