35 citations · 59 across the 13 of their papers we have counts for
13 papers
Bayesian inference to identify crystalline structures for XRD
Ryo Murakami, Yoshitaka Matsushita, Kenji Nagata +2
Crystalline phase structure is essential for understanding the performance and properties of a material. Therefore, this study identified and quantified the crystalline phase struc…
Interpretation of ResNet by Visualization of Preferred Stimulus in Receptive Fields
Genta Kobayashi, Hayaru Shouno
One of the methods used in image recognition is the Deep Convolutional Neural Network (DCNN). DCNN is a model in which the expressive power of features is greatly improved by deepe…
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…
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…
A Generative Model of Textures Using Hierarchical Probabilistic Principal Component Analysis
Aiga Suzuki, Hayaru Shouno
Modeling of textures in natural images is an important task to make a microscopic model of natural images. Portilla and Simoncelli proposed a generative texture model, which is bas…
Feature Representation Analysis of Deep Convolutional Neural Network using Two-stage Feature Transfer -An Application for Diffuse Lung Disease Classification-
Aiga Suzuki, Hidenori Sakanashi, Shoji Kido +1
Transfer learning is a machine learning technique designed to improve generalization performance by using pre-trained parameters obtained from other learning tasks. For image recog…