John Paul Ward

Orcid: 0000-0003-0289-117X

According to our database¹, John Paul Ward authored at least 26 papers between 2012 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

Fast and Accurate Log-Determinant Approximations.

[BibT_eX]

[DOI]

Owen Deen

Colton River Waller

John Paul Ward

IEEE Signal Process. Lett., 2024

2023

Discretization and Optimization using Graphs: One-Dimensional Algorithm.

[BibT_eX]

[DOI]

John Paul Ward

CoRR, 2023

2021

Locally supported, quasi-interpolatory bases on graphs.

[BibT_eX]

[DOI]

John Paul Ward

Francis J. Narcowich

Joseph D. Ward

CoRR, 2021

2019

Angular Accuracy of Steerable Feature Detectors.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2019

2018

Rotation Invariance and Directional Sensitivity: Spherical Harmonics versus Radiomics Features.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

2017

Steerable Wavelet Machines (SWM): Learning Moving Frames for Texture Classification.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2017

Splines Are Universal Solutions of Linear Inverse Problems with Generalized TV Regularization.

[BibT_eX]

[DOI]

Michael Unser

Julien Fageot

John Paul Ward

SIAM Rev., 2017

2016

On the Continuous Steering of the Scale of Tight Wavelet Frames.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2016

SpotCaliper: fast wavelet-based spot detection with accurate size estimation.

[BibT_eX]

[DOI]

Bioinform., 2016

2015

Optimized Kaiser-Bessel Window Functions for Computed Tomography.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2015

Optimal Isotropic Wavelets for Localized Tight Frame Representations.

[BibT_eX]

[DOI]

John Paul Ward

Pedram Pad

Michael Unser

IEEE Signal Process. Lett., 2015

Divergence-Free Wavelet Frames.

[BibT_eX]

[DOI]

Emrah Bostan

Michael Unser

John Paul Ward

IEEE Signal Process. Lett., 2015

Interior Tomography Using 1D Generalized Total Variation. Part I: Mathematical Foundation.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2015

Interior Tomography Using 1D Generalized Total Variation. Part II: Multiscale Implementation.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2015

Fast detection and refined scale estimation using complex isotropic wavelets.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014

On the Unique Identification of Continuous-Time Autoregressive Models From Sampled Data.

[BibT_eX]

[DOI]

Hagai Kirshner

Michael Unser

John Paul Ward

IEEE Trans. Signal Process., 2014

Adaptive Image Resizing Based on Continuous-Domain Stochastic Modeling.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2014

Approximation Properties of Sobolev Splines and the Construction of Compactly Supported Equivalents.

[BibT_eX]

[DOI]

John Paul Ward

Michael Unser

SIAM J. Math. Anal., 2014

2013

On the Linearity of Bayesian Interpolators for Non-Gaussian Continuous-Time AR(1) Processes.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2013

Hessian Schatten-Norm Regularization for Linear Inverse Problems.

[BibT_eX]

[DOI]

Stamatios Lefkimmiatis

John Paul Ward

Michael Unser

IEEE Trans. Image Process., 2013

Decay Properties of Riesz Transforms and Steerable Wavelets.

[BibT_eX]

[DOI]

John Paul Ward

Kunal Narayan Chaudhury

Michael Unser

SIAM J. Imaging Sci., 2013

L p error estimates for approximation by Sobolev splines and Wendland functions on ℝ d.

[BibT_eX]

[DOI]

John Paul Ward

Adv. Comput. Math., 2013

Linear interpolation of biomedical images using a data-adaptive kernel.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012

Is Uniqueness Lost for Under-Sampled Continuous-Time Auto-Regressive Processes?

[BibT_eX]

[DOI]

John Paul Ward

Hagai Kirshner

Michael Unser

IEEE Signal Process. Lett., 2012

L<sup>p</sup> Bernstein inequalities and inverse theorems for RBF approximation on R<sup>d</sup>.

[BibT_eX]

[DOI]

John Paul Ward

J. Approx. Theory, 2012

A Hessian Schatten-Norm Regularization Approach For Solving Linear Inverse Problems

[BibT_eX]

[DOI]

Stamatios Lefkimmiatis

John Paul Ward

Michael Unser

CoRR, 2012

John Paul Ward

Timeline

Legend:

Links

On csauthors.net:

Bibliography

Loading...