Kazuho Watanabe - Search Results

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2007	1
2009	1
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2015	2
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Did you mean kazuo watanabe (224 results)?

Gaze-driven placement of items for proactive visual exploration.

Takahashi S, Uchita A, Watanabe K, Arikawa M. Takahashi S, et al. Among authors: watanabe k. J Vis (Tokyo). 2022;25(3):613-633. doi: 10.1007/s12650-021-00808-5. Epub 2021 Nov 11. J Vis (Tokyo). 2022. PMID: 34785979 Free PMC article.

Variational inference with ARD prior for NIRS diffuse optical tomography.

Miyamoto A, Watanabe K, Ikeda K, Sato MA. Miyamoto A, et al. Among authors: watanabe k. IEEE Trans Neural Netw Learn Syst. 2015 May;26(5):1109-14. doi: 10.1109/TNNLS.2014.2328576. IEEE Trans Neural Netw Learn Syst. 2015. PMID: 25881370

Variational Bayesian Inference Algorithms for Infinite Relational Model of Network Data.

Konishi T, Kubo T, Watanabe K, Ikeda K. Konishi T, et al. Among authors: watanabe k. IEEE Trans Neural Netw Learn Syst. 2015 Sep;26(9):2176-81. doi: 10.1109/TNNLS.2014.2362012. Epub 2014 Oct 28. IEEE Trans Neural Netw Learn Syst. 2015. PMID: 25361514

Divergence measures and a general framework for local variational approximation.

Watanabe K, Okada M, Ikeda K. Watanabe K, et al. Neural Netw. 2011 Dec;24(10):1102-9. doi: 10.1016/j.neunet.2011.06.004. Epub 2011 Jun 15. Neural Netw. 2011. PMID: 21719252

Stochastic complexities of general mixture models in variational Bayesian learning.

Watanabe K, Watanabe S. Watanabe K, et al. Neural Netw. 2007 Mar;20(2):210-9. doi: 10.1016/j.neunet.2006.05.030. Epub 2006 Aug 10. Neural Netw. 2007. PMID: 16904288

Variational Bayesian mixture model on a subspace of exponential family distributions.

Watanabe K, Akaho S, Omachi S, Okada M. Watanabe K, et al. IEEE Trans Neural Netw. 2009 Nov;20(11):1783-96. doi: 10.1109/TNN.2009.2029694. Epub 2009 Sep 18. IEEE Trans Neural Netw. 2009. PMID: 19770092

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