Hayaru Shouno | DeepAI

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Featured Co-authors

Aapo Hyvärinen
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Michael U. Gutmann
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Hiroaki Sasaki
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Hidenori Sakanashi
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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...

0 Sho Ichigozaki, et al. ∙

∙ 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...

0 Genta Kobayashi, et al. ∙

∙ 04/02/2019

Fast Bayesian Restoration of Poisson Corrupted Images with INLA

Photon-limited images are often seen in fields such as medical imaging. ...

0 Takahiro Kawashima, et al. ∙

∙ 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...

0 Aiga Suzuki, et al. ∙

∙ 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...

0 Aiga Suzuki, et al. ∙

∙ 03/29/2018

B-DCGAN:Evaluation of Binarized DCGAN for FPGA

We are trying to implement deep neural networks in the edge computing en...

2 Hideo Terada, et al. ∙

∙ 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...

0 Kazuyuki Hara, et al. ∙

∙ 06/18/2015

Simultaneous Estimation of Non-Gaussian Components and their Correlation Structure

The statistical dependencies which independent component analysis (ICA) ...

0 Hiroaki Sasaki, et al. ∙

∙ 12/07/2014

Bayesian Image Restoration for Poisson Corrupted Image using a Latent Variational Method with Gaussian MRF

We treat an image restoration problem with a Poisson noise chan- nel usi...

0 Hayaru Shouno, et al. ∙

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