IEICE Trans

Joe SUZUKI

On d-Asymptotics for High-Dimensional Discriminant Analysis with Different Variance-Covariance Matrices Takanori AYANO Joe SUZUKI
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2012/12/01 Vol. E95-D No. 12 pp. 3106-3108 Type of Manuscript: LETTER Category: Artificial Intelligence, Data Mining Keyword: discriminant analysis, high-dimensional data, misclassification rate, d-asymptotics,
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Performance of Data Compression in Terms of Hausdorff Dimension Kouki HOJO Boris Ya. RYABKO Joe SUZUKI
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2001/07/01 Vol. E84-A No. 7 pp. 1761-1764 Type of Manuscript: PAPER Category: Information Theory Keyword: Hausdorff dimension, stationary ergodic source, typical sequence, Kolmogorov complexity,
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A Fast Jacobian Group Arithmetic Scheme for Algebraic Curve Cryptography Ryuichi HARASAWA Joe SUZUKI
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2001/01/01 Vol. E84-A No. 1 pp. 130-139 Type of Manuscript: Special Section PAPER (Special Section on Cryptography and Information Security) Category: Keyword: algebraic curve cryptography, Jacobian group, ideal class group, superelliptic curves, C_ab curve,
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Realizing the Menezes-Okamoto-Vanstone (MOV) Reduction Efficiently for Ordinary Elliptic Curves Junji SHIKATA Yuliang ZHENG Joe SUZUKI Hideki IMAI
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2000/04/25 Vol. E83-A No. 4 pp. 756-763 Type of Manuscript: PAPER Category: Information Security Keyword: elliptic curve cryptography, elliptic curve discrete logarithm problem, Menezes-Okamoto-Vanstone (MOV) algorithm, supersingular elliptic curves, ordinary elliptic curves,
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Learning Bayesian Belief Networks Based on the Minimum Description Length Principle: Basic Properties Joe SUZUKI
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 1999/10/25 Vol. E82-A No. 10 pp. 2237-2245 Type of Manuscript: PAPER Category: Information Theory and Coding Theory Keyword: minimum description length principle, Bayesian belief network, Chow and Liu algorithm, Cooper and Herskovits procedure, MDL-based procedure, stochastic rule learning,
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Learning Bayesian Belief Networks Based on the MDL Principle: An Efficient Algorithm Using the Branch and Bound Technique Joe SUZUKI
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 1999/02/25 Vol. E82-D No. 2 pp. 356-367 Type of Manuscript: PAPER Category: Algorithm and Computational Complexity Keyword: Bayesian belief network, minimum description length principle, branch and bound technique, Cooper and Herskovits procedure, MDL-based procedure, K2, K3,
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A Relationship between Contex Tree Weighting and General Model Weighting Techniques for Tree Sources Joe SUZUKI
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 1998/11/25 Vol. E81-A No. 11 pp. 2412-2417 Type of Manuscript: PAPER Category: Information Theory and Coding Theory Keyword: model weighting technique, tree source, context tree weighting,
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Some Notes on Universal Noiseless Coding Joe SUZUKI
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 1995/12/25 Vol. E78-A No. 12 pp. 1840-1847 Type of Manuscript: PAPER Category: Information Theory and Coding Theory Keyword: universal noiseless coding, minimax redundancy, maxmin redundancy, Jeffreys prior, composite source, Clarke and Barron asymptotics,
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Evaluations for Estimation of an Information Source Based on State Decomposition Joe SUZUKI
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 1993/07/25 Vol. E76-A No. 7 pp. 1240-1251 Type of Manuscript: PAPER Category: Information Theory and Coding Theory Keyword: model selection, error probability, Kullback-Leibler information, separated models, unseparated models, information source, information criterion, state decomposition,
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A Universal Coding Scheme Based on Minimizing Minimax Redundancy for Sources with an Unknown Model Joe SUZUKI
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 1993/07/25 Vol. E76-A No. 7 pp. 1234-1239 Type of Manuscript: PAPER Category: Information Theory and Coding Theory Keyword: weight function, length function, universal coding, composite source, minimax redundancy, integer representation, semi-predictive MDL coding, state decomposition,
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Inductive Inference Scheme at a Finite Stage of Process from a View Point of Source Coding Toshiyasu MATSUSHIMA Joe SUZUKI Hiroshige INAZUMI Shigeichi HIRASAWA
Publication: IEICE TRANSACTIONS (1976-1990) Publication Date: 1990/05/25 Vol. E73-E No. 5 pp. 644-652 Type of Manuscript: Special Section PAPER (Special Issue on Information Theory and Its Applications) Category: Keyword:
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