7 citations · 7 across the 3 of their papers we have counts for
3 papers
stat.ML2022★ 7 cited
Gaussian Process Koopman Mode Decomposition
Takahiro Kawashima, Hideitsu Hino
In this paper, we propose a nonlinear probabilistic generative model of Koopman mode decomposition based on an unsupervised Gaussian process. Existing data-driven methods for Koopm…
stat.ME2020
Bayesian Sparse Covariance Structure Analysis for Correlated Count Data
Sho Ichigozaki, Takahiro Kawashima, Hayaru Shouno
In this paper, we propose a Bayesian Graphical LASSO for correlated countable data and apply it to spatial crime data. In the proposed model, we assume a Gaussian Graphical Model f…
cs.CV2019
Fast Bayesian Restoration of Poisson Corrupted Images with INLA
Takahiro Kawashima, Hayaru Shouno
Photon-limited images are often seen in fields such as medical imaging. Although the number of collected photons on an image sensor statistically follows Poisson distribution, this…