| Year |
Citation |
Score |
| 2020 |
Shinotsuka H, Nagata K, Yoshikawa H, Mototake YI, Shouno H, Okada M. Development of spectral decomposition based on Bayesian information criterion with estimation of confidence interval. Science and Technology of Advanced Materials. 21: 402-419. PMID 32939165 DOI: 10.1080/14686996.2020.1773210 |
0.304 |
|
| 2017 |
Sasaki H, Gutmann MU, Shouno H, Hyvärinen A. Simultaneous Estimation of Nongaussian Components and Their Correlation Structure. Neural Computation. 1-38. PMID 28777730 DOI: 10.1162/neco_a_01006 |
0.315 |
|
| 2017 |
Shouno H, Suzuki A, Suzuki S, Kido S. Deep Convolution Neural Network with 2-Stage Transfer Learning for Medical Image Classification The Brain & Neural Networks. 24: 3-12. DOI: 10.3902/JNNS.24.3 |
0.309 |
|
| 2017 |
Suzuki S, Shouno H. Support Vector Machine Histogram: New Analysis and Architecture Design Method of Deep Convolutional Neural Network Neural Processing Letters. 47: 767-782. DOI: 10.1007/s11063-017-9652-0 |
0.363 |
|
| 2015 |
Shouno H. Bayesian image restoration for poisson corrupted image using a latent variational method with gaussian MRF Ipsj Online Transactions. 8: 15-24. DOI: 10.2197/ipsjtrans.8.15 |
0.337 |
|
| 2015 |
Li Y, Fu Q, Ye F, Shouno H. Dark channel prior based blurred image restoration method using total variation and morphology Journal of Systems Engineering and Electronics. 26: 359-366. DOI: 10.1109/JSEE.2015.00042 |
0.335 |
|
| 2015 |
Fukushima K, Shouno H. Deep convolutional network neocognitron: Improved Interpolating-Vector Proceedings of the International Joint Conference On Neural Networks. 2015. DOI: 10.1109/IJCNN.2015.7280514 |
0.49 |
|
| 2014 |
Nakanishi-Ohno Y, Nagata K, Shouno H, Okada M. Distribution estimation of hyperparameters in Markov random field models Journal of Physics a: Mathematical and Theoretical. 47. DOI: 10.1088/1751-8113/47/4/045001 |
0.322 |
|
| 2013 |
Sasaki H, Gutmann MU, Shouno H, Hyvärinen A. Correlated topographic analysis: Estimating an ordering of correlated components Machine Learning. 92: 285-317. DOI: 10.1007/s10994-013-5351-x |
0.323 |
|
| 2012 |
Ohno Y, Nagata K, Kuwatani T, Shouno H, Okada M. Deterministic algorithm for nonlinear markov random field model Journal of the Physical Society of Japan. 81. DOI: 10.1143/JPSJ.81.064006 |
0.343 |
|
| 2011 |
Shouno H, Yamasaki M, Okada M. A bayesian hyperparameter inference for radon-transformed image reconstruction. International Journal of Biomedical Imaging. 2011: 870252. PMID 22114586 DOI: 10.1155/2011/870252 |
0.318 |
|
| 2010 |
Shouno H, Okada M. Bayesian image restoration for medical images using Radon transform Journal of the Physical Society of Japan. 79. DOI: 10.1143/JPSJ.79.074004 |
0.332 |
|
| 2005 |
Shouno H, Wada K, Okada M. Statistical mechanics for neural spike data analysis using log-linear model Progress of Theoretical Physics Supplement. 157: 300-303. DOI: 10.1143/Ptps.157.300 |
0.317 |
|
| 2004 |
Tanaka K, Shouno H, Okada M, Titterington DM. Accuracy of the Bethe approximation for hyperparameter estimation in probabilistic image processing Journal of Physics a: Mathematical and General. 37: 8675-8695. DOI: 10.1088/0305-4470/37/36/007 |
0.361 |
|
| 2002 |
Shouno H, Wada K, Okada M. Naive Mean Field Approximation for Image Restoration Journal of the Physical Society of Japan. 71: 2406-2413. DOI: 10.1143/JPSJ.71.2406 |
0.333 |
|
| 1998 |
Fukushima K, Kimura E, Shouno H. Neocognitron with improved bend-extractors: Recognition of handwritten digits in the real world Neural Computing and Applications. 7: 260-272. DOI: 10.1007/Bf01414887 |
0.508 |
|
| 1997 |
Fukushima K, Nagahara Ki, Shouno H. Training neocognitron to recognize handwritten digits in the real world Aizu International Symposium On Parallel Algorithms/Architecture Synthesis. 292-298. |
0.474 |
|
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