Search Results for author: Dehong Liu

Found 9 papers, 0 papers with code

GSR: A Generalized Symbolic Regression Approach

no code implementations31 May 2022 Tony Tohme, Dehong Liu, Kamal Youcef-Toumi

Identifying the mathematical relationships that best describe a dataset remains a very challenging problem in machine learning, and is known as Symbolic Regression (SR).

regression Symbolic Regression

Fast and High-Quality Blind Multi-Spectral Image Pansharpening

no code implementations17 Mar 2021 Lantao Yu, Dehong Liu, Hassan Mansour, Petros T. Boufounos

First, we estimate the blur kernel by computing the kernel coefficients with minimum total generalized variation that blur a downsampled version of the PAN image to approximate a linear combination of the LRMS image channels.

Image Reconstruction Pansharpening +1

Sparse Blind Deconvolution for Distributed Radar Autofocus Imaging

no code implementations8 May 2018 Hassan Mansour, Dehong Liu, Ulugbek S. Kamilov, Petros T. Boufounos

Common techniques that attempt to resolve the antenna ambiguity generally assume an unknown gain and phase error afflicting the radar measurements.

Accelerated Image Reconstruction for Nonlinear Diffractive Imaging

no code implementations4 Aug 2017 Yanting Ma, Hassan Mansour, Dehong Liu, Petros T. Boufounos, Ulugbek S. Kamilov

The problem of reconstructing an object from the measurements of the light it scatters is common in numerous imaging applications.

Image Reconstruction

Online Convolutional Dictionary Learning for Multimodal Imaging

no code implementations13 Jun 2017 Kevin Degraux, Ulugbek S. Kamilov, Petros T. Boufounos, Dehong Liu

Computational imaging methods that can exploit multiple modalities have the potential to enhance the capabilities of traditional sensing systems.

Dictionary Learning

Compressive Imaging with Iterative Forward Models

no code implementations5 Oct 2016 Hsiou-Yuan Liu, Ulugbek S. Kamilov, Dehong Liu, Hassan Mansour, Petros T. Boufounos

We propose a new compressive imaging method for reconstructing 2D or 3D objects from their scattered wave-field measurements.

A Recursive Born Approach to Nonlinear Inverse Scattering

no code implementations11 Mar 2016 Ulugbek S. Kamilov, Dehong Liu, Hassan Mansour, Petros T. Boufounos

The Iterative Born Approximation (IBA) is a well-known method for describing waves scattered by semi-transparent objects.

Transparent objects

Joint Analysis of Time-Evolving Binary Matrices and Associated Documents

no code implementations NeurIPS 2010 Eric Wang, Dehong Liu, Jorge Silva, Lawrence Carin, David B. Dunson

An objective of such analysis is to infer structure and inter-relationships underlying the matrices, here defined by latent features associated with each axis of the matrix.

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