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Research Output 1993 2019

  • 931 Citations
  • 11 h-Index
  • 34 Conference contribution
  • 15 Article
  • 3 Conference article
  • 1 Paper
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Article
2018
1 Citation (Scopus)

A unified global convergence analysis of multiplicative update rules for nonnegative matrix factorization

Takahashi, N., Katayama, J., Seki, M. & Takeuchi, J., Sep 1 2018, In : Computational Optimization and Applications. 71, 1, p. 221-250 30 p.

Research output: Contribution to journalArticle

Non-negative Matrix Factorization
Global Analysis
Factorization
Convergence Analysis
Global Convergence
2017
1 Citation (Scopus)

A note on model selection for small sample regression

Kawakita, M. & Takeuchi, J., Nov 1 2017, In : Machine Learning. 106, 11, p. 1839-1862 24 p.

Research output: Contribution to journalArticle

Experiments
2014
3 Citations (Scopus)

Least squares superposition codes with bernoulli dictionary are still reliable at rates up to capacity

Takeishi, Y., Kawakita, M. & Takeuchi, J., Jan 1 2014, In : IEEE Transactions on Information Theory. 60, 5, p. 2737-2750 14 p., 6776455.

Research output: Contribution to journalArticle

Glossaries
dictionary
Gaussian distribution
Decoding
Error probability
12 Citations (Scopus)

Safe semi-supervised learning based on weighted likelihood

Kawakita, M. & Takeuchi, J., Jan 1 2014, In : Neural Networks. 53, p. 146-164 19 p.

Research output: Contribution to journalArticle

Supervised learning
Learning
Maximum likelihood
Weights and Measures
Supervised Machine Learning
2013
9 Citations (Scopus)

A behavior-based method for detecting distributed scan attacks in darknets

Feng, Y., Hori, Y., Sakurai, K. & Takeuchi, J., Jul 19 2013, In : Journal of information processing. 21, 3, p. 527-538 12 p.

Research output: Contribution to journalArticle

Internet
7 Citations (Scopus)

Properties of jeffreys mixture for markov sources

Takeuchi, J., Kawabata, T. & Barron, A. R., Jan 7 2013, In : IEEE Transactions on Information Theory. 59, 1, p. 438-457 20 p., 6307868.

Research output: Contribution to journalArticle

coding
symbol
Data compression
Monte Carlo methods
2011

Acceleration technique for boosting classification and its application to face detection

Kawakita, M., Izumi, R., Takeuchi, J., Hu, Y., Takamori, T. & Kameyama, H., 2011, In : Journal of Machine Learning Research. 20, p. 335-349 15 p.

Research output: Contribution to journalArticle

Face Detection
Boosting
Face recognition
Classifier
Detector
2006
163 Citations (Scopus)

A unifying framework for detecting outliers and change points from time series

Takeuchi, J. & Yamanishi, K., Apr 1 2006, In : IEEE Transactions on Knowledge and Data Engineering. 18, 4, p. 482-492 11 p.

Research output: Contribution to journalArticle

Time series
Network security
Learning algorithms
Data mining
Statistics
12 Citations (Scopus)

Equiaffine structures on statistical manifolds and Bayesian statistics

Matsuzoe, H., Takeuchi, J. & Amari, S. I., Dec 1 2006, In : Differential Geometry and its Application. 24, 6, p. 567-578 12 p.

Research output: Contribution to journalArticle

Statistical Manifold
Bayesian Statistics
Statistics
Jeffreys Prior
Geometry
2005
2 Citations (Scopus)

Data mining for security

Yamanishi, K., Takeuchi, J. & Maruyama, Y., Dec 2005, In : NEC Journal of Advanced Technology. 2, 1, p. 63-69 7 p.

Research output: Contribution to journalArticle

Data mining
Engines
Terrorism
Intrusion detection
Industry
11 Citations (Scopus)

α-Parallel prior and its properties

Takeuchi, J. & Amari, S. I., Mar 1 2005, In : IEEE Transactions on Information Theory. 51, 3, p. 1011-1023 13 p.

Research output: Contribution to journalArticle

Maximum likelihood
mathematics
Geometry
Statistical Models
2004
186 Citations (Scopus)

On-line unsupervised outlier detection using finite mixtures with discounting learning algorithms

Yamanishi, K., Takeuchi, J., Williams, G. & Milne, P., May 1 2004, In : Data Mining and Knowledge Discovery. 8, 3, p. 275-300 26 p.

Research output: Contribution to journalArticle

Health insurance
Intrusion detection
Learning algorithms
Unsupervised learning
Pathology
2001
7 Citations (Scopus)

Polynomial learnability of stochastic rules with respect to the KL-divergence and quadratic distance

Abe, N., Takeuchi, J. & Warmuth, K. M., 2001, In : IEICE Transactions on Information and Systems. E84-D, 3, p. 290-316 27 p.

Research output: Contribution to journalArticle

Polynomials
Finite automata
Learning algorithms
1998
3 Citations (Scopus)

Efficient distribution-free population learning of simple concepts

Nakamura, A., Takeuchi, J. & Abe, N., 1998, In : Annals of Mathematics and Artificial Intelligence. 23, 1-2, p. 53-82 30 p.

Research output: Contribution to journalArticle

Distribution-free
Population Size
Voting
Supremum
Polynomials
1997
9 Citations (Scopus)

Characterization of the bayes estimator and the MDL estimator for exponential families

Takeuchi, J. I., Dec 1 1997, In : IEEE Transactions on Information Theory. 43, 4, p. 1165-1174 10 p.

Research output: Contribution to journalArticle

Maximum likelihood
trend
Geometry
coding
mathematics