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01/24/2020
Estimation for Compositional Data using Measurements from Nonlinear Systems using Artificial Neural Networks
Our objective is to estimate the unknown compositional input from its ou...
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06/29/2018
A Learning Theory in Linear Systems under Compositional Models
We present a learning theory for the training of a linear system operato...
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02/26/2015
A Dictionary Approach to EBSD Indexing
We propose a framework for indexing of grain and sub-grain structures in...
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03/15/2013
Variational Semi-blind Sparse Deconvolution with Orthogonal Kernel Bases and its Application to MRFM
We present a variational Bayesian method of joint image reconstruction a...
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03/21/2012