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06/05/2020
Bayesian Sparse Covariance Structure Analysis for Correlated Count Data
In this paper, we propose a Bayesian Graphical LASSO for correlated coun...
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06/02/2020
Interpretation of ResNet by Visualization of Preferred Stimulus in Receptive Fields
One of the methods used in image recognition is the Deep Convolutional N...
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04/02/2019
Fast Bayesian Restoration of Poisson Corrupted Images with INLA
Photon-limited images are often seen in fields such as medical imaging. ...
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10/16/2018
A Generative Model of Textures Using Hierarchical Probabilistic Principal Component Analysis
Modeling of textures in natural images is an important task to make a mi...
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10/15/2018
Feature Representation Analysis of Deep Convolutional Neural Network using Two-stage Feature Transfer -An Application for Diffuse Lung Disease Classification-
Transfer learning is a machine learning technique designed to improve ge...
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03/29/2018
B-DCGAN:Evaluation of Binarized DCGAN for FPGA
We are trying to implement deep neural networks in the edge computing en...
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06/20/2017
Analysis of dropout learning regarded as ensemble learning
Deep learning is the state-of-the-art in fields such as visual object re...
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06/18/2015
Simultaneous Estimation of Non-Gaussian Components and their Correlation Structure
The statistical dependencies which independent component analysis (ICA) ...
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12/07/2014