| STM study of the Ge growth mode on Si (001) substrates M Tomitori, K Watanabe, M Kobayashi, O Nishikawa Applied surface science 76, 322-328, 1994 | 182 | 1994 |
| Stochastic complexities of Gaussian mixtures in variational Bayesian approximation K Watanabe, S Watanabe The Journal of Machine Learning Research 7, 625-644, 2006 | 68 | 2006 |
| Deterministic annealing variant of variational Bayes method K Katahira, K Watanabe, M Okada Journal of Physics: Conference Series 95 (1), 012015, 2008 | 66 | 2008 |
| Layered heteroepitaxial growth of germanium on Si (015) observed by scanning tunneling microscopy M Tomitori, K Watanabe, M Kobayashi, F Iwawaki, O Nishikawa Surface science 301 (1-3), 214-222, 1994 | 56 | 1994 |
| Irradiated meningiomas: a clinical evaluation M Fukui, K Kitamura, H Nakagaki, Y Yamakawa, K Kinoshita, ... Acta Neurochirurgica 54, 33-43, 1980 | 50 | 1980 |
| Variational Bayesian learning theory S Nakajima, K Watanabe, M Sugiyama Cambridge University Press, 2019 | 38 | 2019 |
| Stochastic complexities of general mixture models in variational Bayesian learning K Watanabe, S Watanabe Neural Networks 20 (2), 210-219, 2007 | 25 | 2007 |
| Lower bounds of stochastic complexities in variational Bayes learning of Gaussian mixture models K Watanabe, S Watanabe Cybernetics and Intelligent Systems, 2004 IEEE Conference on 1, 99-104 vol. 1, 2004 | 24 | 2004 |
| Spectral-based contractible parallel coordinates K Nohno, HY Wu, K Watanabe, S Takahashi, I Fujishiro 2014 18th International Conference on Information Visualisation, 7-12, 2014 | 22 | 2014 |
| Bayesian properties of normalized maximum likelihood and its fast computation A Barron, T Roos, K Watanabe 2014 IEEE International Symposium on Information Theory, 1667-1671, 2014 | 21 | 2014 |
| Variational Bayesian mixture model on a subspace of exponential family distributions K Watanabe, S Akaho, S Omachi, M Okada IEEE transactions on neural networks 20 (11), 1783-1796, 2009 | 21 | 2009 |
| Stochastic complexity of variational Bayesian hidden Markov models T Hosino, K Watanabe, S Watanabe Proceedings. 2005 IEEE International Joint Conference on Neural Networks …, 2005 | 20 | 2005 |
| Upper bound for variational free energy of Bayesian networks K Watanabe, M Shiga, S Watanabe Machine Learning 75, 199-215, 2009 | 18 | 2009 |
| Biclustering multivariate data for correlated subspace mining K Watanabe, HY Wu, Y Niibe, S Takahashi, I Fujishiro 2015 IEEE Pacific Visualization Symposium (PacificVis), 287-294, 2015 | 14 | 2015 |
| Variational Bayesian inference algorithms for infinite relational model of network data T Konishi, T Kubo, K Watanabe, K Ikeda IEEE Transactions on Neural Networks and Learning Systems 26 (9), 2176-2181, 2014 | 13 | 2014 |
| Divergence measures and a general framework for local variational approximation K Watanabe, M Okada, K Ikeda Neural Networks 24 (10), 1102-1109, 2011 | 11 | 2011 |
| Variational Bayesian stochastic complexity of mixture models K Watanabe, S Watanabe Advances in neural information processing systems 18, 2005 | 11 | 2005 |
| METAL-INSULATOR TRANSITION IN PYRITE TYPE NiS2-xSex SYSTEM T Miyadai, Y Tazuke, S Kinouchi, T Nishioka, S Sudo, Y Miyako, ... Le Journal de Physique Colloques 49 (C8), C8-187-C8-188, 1988 | 11 | 1988 |
| TimeTubes: Visual exploration of observed blazar datasets I Fujishiro, N Sawada, M Nakayama, HY Wu, K Watanabe, S Takahashi, ... Journal of Physics: Conference Series 1036 (1), 012011, 2018 | 10 | 2018 |
| Packet loss rate estimation with active and passive measurements A Miyamoto, K Watanabe, K Ikeda Proceedings of The 2012 Asia Pacific Signal and Information Processing …, 2012 | 10 | 2012 |
Kazushi IKEDANara Institute of Science and TechnologyE-mail confirmado em is.naist.jp
