Maeda S - Search Results

1

Sparse bayesian learning of filters for efficient image expansion.

Kanemura A, Maeda S, Ishii S. Kanemura A, et al. Among authors: maeda s. IEEE Trans Image Process. 2010 Jun;19(6):1480-90. doi: 10.1109/TIP.2010.2043010. Epub 2010 Mar 8. IEEE Trans Image Process. 2010. PMID: 20215080 Free article.

2

Markov and Semi-Markov switching of source appearances for nonstationary independent component analysis.

Hirayama J, Maeda S, Ishii S. Hirayama J, et al. Among authors: maeda s. IEEE Trans Neural Netw. 2007 Sep;18(5):1326-42. doi: 10.1109/tnn.2007.895829. IEEE Trans Neural Netw. 2007. PMID: 18220183

3

Superresolution with compound Markov random fields via the variational EM algorithm.

Kanemura A, Maeda S, Ishii S. Kanemura A, et al. Among authors: maeda s. Neural Netw. 2009 Sep;22(7):1025-34. doi: 10.1016/j.neunet.2008.12.005. Epub 2009 Jan 7. Neural Netw. 2009. PMID: 19157777

4

Learning a multi-dimensional companding function for lossy source coding.

Maeda S, Ishii S. Maeda S, et al. Neural Netw. 2009 Sep;22(7):998-1010. doi: 10.1016/j.neunet.2009.06.001. Epub 2009 Jun 9. Neural Netw. 2009. PMID: 19556103

5

Constructing a meta-tracker using Dropout to imitate the behavior of an arbitrary black-box tracker.

Meshgi K, Maeda SI, Oba S, Ishii S. Meshgi K, et al. Among authors: maeda si. Neural Netw. 2017 Mar;87:132-148. doi: 10.1016/j.neunet.2016.12.009. Epub 2017 Jan 3. Neural Netw. 2017. PMID: 28119122

6

Nonlinear and noisy extension of independent component analysis: theory and its application to a pitch sensation model.

Maeda S, Song WJ, Ishii S. Maeda S, et al. Neural Comput. 2005 Jan;17(1):115-44. doi: 10.1162/0899766052530866. Neural Comput. 2005. PMID: 15563750

7

Efficient Monte Carlo image analysis for the location of vascular entity.

Skibbe H, Reisert M, Maeda S, Koyama M, Oba S, Ito K, Ishii S. Skibbe H, et al. Among authors: maeda s. IEEE Trans Med Imaging. 2015 Feb;34(2):628-43. doi: 10.1109/TMI.2014.2364404. Epub 2014 Oct 22. IEEE Trans Med Imaging. 2015. PMID: 25347876

8

Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning.

Miyato T, Maeda SI, Koyama M, Ishii S. Miyato T, et al. Among authors: maeda si. IEEE Trans Pattern Anal Mach Intell. 2019 Aug;41(8):1979-1993. doi: 10.1109/TPAMI.2018.2858821. Epub 2018 Jul 23. IEEE Trans Pattern Anal Mach Intell. 2019. PMID: 30040630

9

Asymptotic analysis of value prediction by well-specified and misspecified models.

Ueno T, Maeda S, Ishii S. Ueno T, et al. Among authors: maeda s. Neural Netw. 2012 Jul;31:88-92. doi: 10.1016/j.neunet.2012.03.004. Epub 2012 Mar 20. Neural Netw. 2012. PMID: 22498361 No abstract available.

10

Semaphorin 3A induces CaV2.3 channel-dependent conversion of axons to dendrites.

Nishiyama M, Togashi K, von Schimmelmann MJ, Lim CS, Maeda S, Yamashita N, Goshima Y, Ishii S, Hong K. Nishiyama M, et al. Among authors: maeda s. Nat Cell Biol. 2011 Jun;13(6):676-85. doi: 10.1038/ncb2255. Epub 2011 May 22. Nat Cell Biol. 2011. PMID: 21602796 Free PMC article.

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