Faculty of Computer Science and Communication Engineering, Kyushu University
List of publications from the DBLP Bibliography Server - FAQ| 2013 | ||
|---|---|---|
| j8 | Jun-ichi Takeuchi, Tsutomu Kawabata, Andrew R. Barron: Properties of Jeffreys Mixture for Markov Sources. IEEE Transactions on Information Theory 59(1): 438-457 (2013) | |
| 2012 | ||
| c17 | Kotaro Yamaguchi, Masanori Kawakita, Norikazu Takahashi, Jun-ichi Takeuchi: Information Theoretic Limit of Single-Frame Super-Resolution. EST 2012: 82-85 | |
| c16 | Sayaka Yamauchi, Masanori Kawakita, Jun-ichi Takeuchi: Botnet Detection Based on Non-negative Matrix Factorization and the MDL Principle. ICONIP (5) 2012: 400-409 | |
| c15 | Mariko Tsurusaki, Jun-ichi Takeuchi: Constant Markov Portfolio and its application to universal portfolio with side information. ISIT 2012: 1623-1627 | |
| c14 | Yaokai Feng, Yoshiaki Hori, Kouichi Sakurai, Jun-ichi Takeuchi: A Behavior-Based Detection Method for Outbreaks of Low-Rate Attacks. SAINT 2012: 267-272 | |
| 2011 | ||
| j7 | Masanori Kawakita, Ryota Izumi, Jun-ichi Takeuchi, Yi Hu, Tetsuya Takamori, Hirokazu Kameyama: Acceleration technique for boosting classification and its application to face detection. Journal of Machine Learning Research - Proceedings Track 20: 335-349 (2011) | |
| c13 | Mariko Tsurusaki, Jun-ichi Takeuchi: Stochastic interpretation of universal portfolio and generalized target classes. ISIT 2011: 390-394 | |
| 2010 | ||
| c12 | Masanori Kawakita, Yoko Oie, Jun-ichi Takeuchi: A note on model selection for small sample regression. ISITA 2010: 112-117 | |
| 2009 | ||
| c11 | Jun-ichi Takeuchi: Fisher information determinant and stochastic complexity for Markov models. ISIT 2009: 1894-1898 | |
| 2008 | ||
| c10 | Daisuke Inoue, Katsunari Yoshioka, Masashi Eto, Masaya Yamagata, Eisuke Nishino, Jun-ichi Takeuchi, Kazuya Ohkouchi, Koji Nakao: An Incident Analysis System NICTER and Its Analysis Engines Based on Data Mining Techniques. ICONIP (1) 2008: 579-586 | |
| 2006 | ||
| j6 | Jun-ichi Takeuchi, Kenji Yamanishi: A Unifying Framework for Detecting Outliers and Change Points from Time Series. IEEE Trans. Knowl. Data Eng. 18(4): 482-492 (2006) | |
| 2005 | ||
| j5 | Jun-ichi Takeuchi, Shun-ichi Amari: /spl alpha/-parallel prior and its properties. IEEE Transactions on Information Theory 51(3): 1011-1023 (2005) | |
| 2004 | ||
| j4 | Kenji Yamanishi, Jun-ichi Takeuchi, Graham J. Williams, Peter Milne: On-Line Unsupervised Outlier Detection Using Finite Mixtures with Discounting Learning Algorithms. Data Min. Knowl. Discov. 8(3): 275-300 (2004) | |
| c9 | Takayuki Nakata, Jun-ichi Takeuchi: Mining traffic data from probe-car system for travel time prediction. KDD 2004: 817-822 | |
| 2003 | ||
| c8 | Satoshi Morinaga, Kenji Yamanishi, Jun-ichi Takeuchi: Distributed cooperative mining for information consortia. KDD 2003: 619-624 | |
| 2002 | ||
| c7 | Kenji Yamanishi, Jun-ichi Takeuchi: A unifying framework for detecting outliers and change points from non-stationary time series data. KDD 2002: 676-681 | |
| 2001 | ||
| c6 | Kenji Yamanishi, Jun-ichi Takeuchi: Discovering outlier filtering rules from unlabeled data: combining a supervised learner with an unsupervised learner. KDD 2001: 389-394 | |
| 2000 | ||
| j3 | Jun-ichi Takeuchi, Naoki Abe, Shun-ichi Amari: The Lob-Pass Problem. J. Comput. Syst. Sci. 61(3): 523-557 (2000) | |
| c5 | Kenji Yamanishi, Jun-ichi Takeuchi, Graham J. Williams, Peter Milne: On-line unsupervised outlier detection using finite mixtures with discounting learning algorithms. KDD 2000: 320-324 | |
| 1998 | ||
| j2 | Atsuyoshi Nakamura, Jun-ichi Takeuchi, Naoki Abe: Efficient Distribution-Free Population Learning of Simple Concepts. Ann. Math. Artif. Intell. 23(1-2): 53-82 (1998) | |
| 1995 | ||
| j1 | Jun-ichi Takeuchi: Improved Sample Complexity Bounds for Parameter Estimation. IEICE Transactions 78-D(5): 526-531 (1995) | |
| 1994 | ||
| c4 | Atsuyoshi Nakamura, Naoki Abe, Jun-ichi Takeuchi: Efficient Distribution-free Population Learning of Simple Concepts. AII/ALT 1994: 500-515 | |
| 1993 | ||
| c3 | ||
| 1992 | ||
| c2 | Jun-ichi Takeuchi: Some Improved Sample Complexity Bounds in the Probabilistic PAC Learning Model. ALT 1992: 208-219 | |
| 1991 | ||
| c1 | Naoki Abe, Manfred K. Warmuth, Jun-ichi Takeuchi: Polynomial Learnability of Probabilistic Concepts with Respect to the Kullback-Leibler Divergence. COLT 1991: 277-289 | |
Colors in the list of coauthors
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