Shin-ichi Maeda
Shin-ichi Maeda
Preferred Networks, Inc.
Verified email at - Homepage
TitleCited byYear
Virtual adversarial training: a regularization method for supervised and semi-supervised learning
T Miyato, S Maeda, M Koyama, S Ishii
IEEE transactions on pattern analysis and machine intelligence 41 (8), 1979-1993, 2018
Distributional smoothing with virtual adversarial training
T Miyato, S Maeda, M Koyama, K Nakae, S Ishii
arXiv preprint arXiv:1507.00677, 2015
Superresolution with compound Markov random fields via the variational EM algorithm
A Kanemura, S Maeda, S Ishii
Neural Networks 22 (7), 1025-1034, 2009
An occlusion-aware particle filter tracker to handle complex and persistent occlusions
K Meshgi, S Maeda, S Oba, H Skibbe, Y Li, S Ishii
Computer Vision and Image Understanding 150, 81-94, 2016
Semaphorin 3A induces Ca V 2.3 channel-dependent conversion of axons to dendrites
M Nishiyama, K Togashi, MJ Von Schimmelmann, CS Lim, S Maeda, ...
Nature cell biology 13 (6), 676-685, 2011
Gaussian process regression for rendering music performance
K Teramura, H Okuma, Y Taniguchi, S Makimoto, S Maeda
Proc. ICMPC, 167-172, 2008
A Bayesian encourages dropout
S Maeda
arXiv preprint arXiv:1412.7003, 2014
Markov and semi-Markov switching of source appearances for nonstationary independent component analysis
J Hirayama, S Maeda, S Ishii
IEEE transactions on neural networks 18 (5), 1326-1342, 2007
Edge-preserving Bayesian image superresolution based on compound Markov random fields
A Kanemura, S Maeda, S Ishii
International Conference on Artificial Neural Networks, 611-620, 2007
Rebuilding factorized information criterion: Asymptotically accurate marginal likelihood
K Hayashi, S Maeda, R Fujimaki
International Conference on Machine Learning, 1358-1366, 2015
Maximum a posteriori X-ray computed tomography using graph cuts
S Maeda, W Fukuda, A Kanemura, S Ishii
Journal of Physics: Conference Series 233 (1), 012023, 2010
Hyperparameter estimation in Bayesian image superresolution with a compound Markov random field prior
A Kanemura, S Maeda, S Ishii
2007 IEEE Workshop on Machine Learning for Signal Processing, 181-186, 2007
Sparse Bayesian learning of filters for efficient image expansion
A Kanemura, S Maeda, S Ishii
IEEE transactions on image processing 19 (6), 1480-1490, 2010
Efficient Monte Carlo image analysis for the location of vascular entity
H Skibbe, M Reisert, S Maeda, M Koyama, S Oba, K Ito, S Ishii
IEEE Transactions on medical imaging 34 (2), 628-643, 2014
Generalized TD learning
T Ueno, S Maeda, M Kawanabe, S Ishii
Journal of Machine Learning Research 12 (Jun), 1977-2020, 2011
Instrument identification in monophonic music using spectral information
M Ihara, S Maeda, S Ishii
2007 IEEE International Symposium on Signal Processing and Information …, 2007
Neural multi-scale image compression
KM Nakanishi, S Maeda, T Miyato, D Okanohara
Asian Conference on Computer Vision, 718-732, 2018
Fusion of multiple cues from color and depth domains using occlusion aware bayesian tracker
K Meshgi, S Maeda, S Oba, S Ishii
IEICE Tech. Rep. Neurocomp. 113 (500), 127-132, 2014
Graph warp module: an auxiliary module for boosting the power of graph neural networks
K Ishiguro, S Maeda, M Koyama
arXiv preprint arXiv:1902.01020, 2019
Nonlinear and noisy extension of independent component analysis: Theory and its application to a pitch sensation model
S Maeda, WJ Song, S Ishii
Neural computation 17 (1), 115-144, 2005
The system can't perform the operation now. Try again later.
Articles 1–20