David K. Hammond

According to our database, David K. Hammond authored at least 14 papers between 2006 and 2016.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2016

Tridiagonal Matrices and Boundary Conditions.

J. J. P. Veerman, David K. Hammond

SIAM J. Matrix Anal. Appl., 2016

2014

GSPBOX: A toolbox for signal processing on graphs.

Nathanaël Perraudin, Johan Paratte, David I. Shuman, Vassilis Kalofolias, Pierre Vandergheynst, David K. Hammond

CoRR, 2014

2013

Cortical Graph Smoothing: A Novel Method for Exploiting DWI-Derived Anatomical Brain Connectivity to Improve EEG Source Estimation.

David K. Hammond, Benoit Scherrer, Simon K. Warfield

IEEE Trans. Medical Imaging, 2013

Stabilizing Nonuniformly Quantized Compressed Sensing With Scalar Companders.

Laurent Jacques, David K. Hammond, Mohamed-Jalal Fadili

IEEE Trans. Inf. Theory, 2013

Graph diffusion distance: A difference measure for weighted graphs based on the graph Laplacian exponential kernel.

David K. Hammond, Yaniv Gur, Chris R. Johnson

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2012

Incorporating anatomical connectivity into EEG source estimation via sparse approximation with cortical graph wavelets.

David K. Hammond, Benoit Scherrer, Allen D. Malony

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

Dequantizing Compressed Sensing: When Oversampling and Non-Gaussian Constraints Combine.

Laurent Jacques, David K. Hammond, Mohamed-Jalal Fadili

IEEE Trans. Inf. Theory, 2011

Computational Modeling of Human Head Electromagnetics for Source Localization of Milliscale Brain Dynamics.

Allen D. Malony, Adnan Salman, Sergei Turovets, Don M. Tucker, Vasily Volkov, Kai Li, Jung Eun Song, Scott Biersdorff, Colin Davey, Chris Hoge, David K. Hammond

Proceedings of the Medicine Meets Virtual Reality 18 - NextMed, 2011

Weighted fidelity in non-uniformly quantized compressed sensing.

Laurent Jacques, David K. Hammond, Mohamed-Jalal Fadili

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2009

Wavelets on Graphs via Spectral Graph Theory

David K. Hammond, Pierre Vandergheynst, Rémi Gribonval

CoRR, 2009

DeQuantizing Compressed Sensing with non-Gaussian constraints.

Laurent Jacques, David K. Hammond, Mohamed-Jalal Fadili

Proceedings of the International Conference on Image Processing, 2009

2008

Image Modeling and Denoising With Orientation-Adapted Gaussian Scale Mixtures.

David K. Hammond, Eero P. Simoncelli

IEEE Trans. Image Process., 2008

2007

A Machine Learning Framework for Adaptive Combination of Signal Denoising Methods.

David K. Hammond, Eero P. Simoncelli

Proceedings of the International Conference on Image Processing, 2007

2006

Image Denoising with an Orientation-Adaptive Gaussian Scale Mixture Model.

David K. Hammond, Eero P. Simoncelli

Proceedings of the International Conference on Image Processing, 2006