Marylesa Howard

发表

Enhancing Emergency Response with a Data-Driven Approach to Radiation Visualization Parameter Selection

Johanna Turk, Marylesa Howard, Thomas McCulough, 2015 .

A Bound-and Equality-Constrained Quadratic Programming Method for Image Reconstruction

Johnathan M. Bardsley, Marylesa Howard, 2015 .

Comparing Velocity Extraction Techniques and Benchmarking using High-Speed Video in an Impact Gas Gun Experiment

Marylesa Howard, 2014 .

Bayesian Abel Inversion in Quantitative X-Ray Radiography

Aaron Luttman, Marylesa Howard, Michael Fowler, 2016, SIAM J. Sci. Comput..

Machine learning to analyze images of shocked materials for precise and accurate measurements

Keith A. Nelson, Marylesa Howard, B. T. Meehan, 2017, 1708.07261.

Broadband laser ranging precision and accuracy experiments with PDV benchmarking

Kirk Miller, Marylesa Howard, Ed Daykin, 2017 .

Advanced Characterization of Spatial Aspects of Image System Blur, NLV-004-19, Year 2

Paul K. Manhart, Marylesa Howard, Jessica Pillow, 2020 .

L 1 -Regularized Inverse Problems for Image Deblurring via Bound- and Equality-Constrained Optimization

Johnathan M. Bardsley, Marylesa Howard, J. Bardsley, 2018 .

Establishing precision and accuracy in PDV results

Matthew E. Briggs, Marylesa Howard, Abel B. Diaz, 2016 .

MATLAB Software for Supervised Classication in Remote Sensing and Image Processing

Johnathan M. Bardsley, Marylesa Howard, Mark S. Lorang, 2012 .

Optical Ranging Overview and Analysis of Calibration Data

Marylesa Howard, Corey V. Bennett, Natalie Kostinski, 2016 .

Broadband laser ranging: signal analysis and interpretation

Marylesa Howard, Corey V. Bennett, Jared Catenacci, 2017, LASE.

A Locally Adapting Technique for Edge Detection using Image Segmentation

Marylesa Howard, B. T. Meehan, Margaret C. Hock, 2018, SIAM J. Sci. Comput..

Quantification and visualization of variation in anatomical trees

Marleen de Bruijne, Nina Amenta, Jie Shi, 2014, 1410.2466.

Sampling-based uncertainty quantification in deconvolution of X-ray radiographs

Aaron Luttman, Marylesa Howard, Michael Fowler, 2014, J. Comput. Appl. Math..

Computational methods for support vector machine classification and large-scale Kalman filtering

Marylesa Howard, M. Howard, 2013 .

Quantifying Uncertainties in Inverse Problems: Meaning and Usefulness of Error Bars on Information Extracted from Stockpile Stewardship Experiments

Johnathan M. Bardsley, Marylesa Howard, Aaron Luttman, 2015 .

A Locally Adapting Technique for Boundary Detection using Image Segmentation pdf

Marylesa Howard, B. T. Meehan, Margaret C. Hock, 2017, ArXiv.

Image Segmentation and Error Analysis for Shock Images: A Locally Adaptive Method

Marylesa Howard, Margaret C. Hock, Leora Dresselhaus-Cooper, 2017 .

A Segmentation Technique for Identifying Shock Wave Fronts in Images

Marylesa Howard, Margaret C. Hock, Leora Dresselhaus-Cooper, 2017 .

Krylov space approximate Kalman filtering

Johnathan M. Bardsley, Marylesa Howard, Antti Solonen, 2013, Numer. Linear Algebra Appl..

A Hierarchical Gibbs Sampler for Spatially Varying Multi-Regularization Image Reconstructions

Marylesa Howard, Jesses Adams, 2021 .

A blocking scheme for dimension-robust Gibbs sampling in large-scale image deblurring

Matthias Morzfeld, Aaron Luttman, Marylesa Howard, 2021, Inverse Problems in Science and Engineering.

An approach to characterizing spatial aspects of image system blur

Matthias Morzfeld, Eric Clarkson, Marylesa Howard, 2021, Stat. Anal. Data Min..

A stochastic approach to quantifying the blur with uncertainty estimation for high-energy X-ray imaging systems

Stephen E. Mitchell, Aaron Luttman, Marylesa Howard, 2016 .

Benchmarking Surface Position from Laser Velocimetry with High-Speed Video in Impact Experiments

Marylesa Howard, B. T. Meehan, Brendan O'Toole, 2015 .