12 citations · 12 across the 3 of their papers we have counts for
4 papers
Estimation for Compositional Data using Measurements from Nonlinear Systems using Artificial Neural Networks
Se Un Park
Our objective is to estimate the unknown compositional input from its output response through an unknown system after estimating the inverse of the original system with a training…
A Learning Theory in Linear Systems under Compositional Models
Se Un Park
We present a learning theory for the training of a linear system operator having an input compositional variable and propose a Bayesian inversion method for inferring the unknown v…
A Dictionary Approach to EBSD Indexing
Yu-Hui Chen, Se Un Park, Dennis Wei +5
We propose a framework for indexing of grain and sub-grain structures in electron backscatter diffraction (EBSD) images of polycrystalline materials. The framework is based on a pr…
Variational Semi-blind Sparse Deconvolution with Orthogonal Kernel Bases and its Application to MRFM
Se Un Park, Nicolas Dobigeon, Alfred O. Hero
We present a variational Bayesian method of joint image reconstruction and point spread function (PSF) estimation when the PSF of the imaging device is only partially known. To sol…