research
∙
09/03/2022
Geometry of EM and related iterative algorithms
The Expectation–Maximization (EM) algorithm is a simple meta-algorithm t...
share
research
∙
01/07/2020
Fast and robust multiplane single molecule localization microscopy using deep neural network
Single molecule localization microscopy is widely used in biological res...
research
∙
09/27/2019
On a convergence property of a geometrical algorithm for statistical manifolds
In this paper, we examine a geometrical projection algorithm for statist...
research
∙
05/19/2018
Integral representation of the global minimizer
We have obtained an integral representation of the shallow neural networ...
research
∙
12/12/2017
Transportation analysis of denoising autoencoders: a novel method for analyzing deep neural networks
The feature map obtained from the denoising autoencoder (DAE) is investi...
research
∙
05/10/2016
Decoding Stacked Denoising Autoencoders
Data representation in a stacked denoising autoencoder is investigated. ...
research
∙
12/02/2015
Double Sparse Multi-Frame Image Super Resolution
A large number of image super resolution algorithms based on the sparse ...
research
∙
05/14/2015
Neural Network with Unbounded Activation Functions is Universal Approximator
This paper presents an investigation of the approximation property of ne...
research
∙
12/23/2013
