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SUBSET SELECTION FOR KERNEL-BASED SIGNAL RECONSTRUCTION

Abstract: 

In this work, we introduce subset selection strategies for signal reconstruction based on kernel methods, particularly for the case of kernel-ridge regression. Typically, these methods are employed for exploiting known prior information about the structure of the signal of interest. We use the mean squared error and a scalar function of the covariance matrix of the kernel regressors to establish metrics for the subset selection problem. Despite the NP-hard nature of the problem, we introduce efficient algorithms for finding approximate solutions for the proposed metrics. Finally, numerical experiments demonstrate the applicability of the proposed strategies.

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Paper Details

Authors:
Mario Coutino, Sundeep Chepuri, Geert Leus
Submitted On:
19 April 2018 - 10:49pm
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Mario Coutino
Paper Code:
2515
Document Year:
2018
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Document Files

ppt_icassp2018_kernel.pdf

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[1] Mario Coutino, Sundeep Chepuri, Geert Leus, "SUBSET SELECTION FOR KERNEL-BASED SIGNAL RECONSTRUCTION", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3060. Accessed: Jun. 22, 2018.
@article{3060-18,
url = {http://sigport.org/3060},
author = {Mario Coutino; Sundeep Chepuri; Geert Leus },
publisher = {IEEE SigPort},
title = {SUBSET SELECTION FOR KERNEL-BASED SIGNAL RECONSTRUCTION},
year = {2018} }
TY - EJOUR
T1 - SUBSET SELECTION FOR KERNEL-BASED SIGNAL RECONSTRUCTION
AU - Mario Coutino; Sundeep Chepuri; Geert Leus
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3060
ER -
Mario Coutino, Sundeep Chepuri, Geert Leus. (2018). SUBSET SELECTION FOR KERNEL-BASED SIGNAL RECONSTRUCTION. IEEE SigPort. http://sigport.org/3060
Mario Coutino, Sundeep Chepuri, Geert Leus, 2018. SUBSET SELECTION FOR KERNEL-BASED SIGNAL RECONSTRUCTION. Available at: http://sigport.org/3060.
Mario Coutino, Sundeep Chepuri, Geert Leus. (2018). "SUBSET SELECTION FOR KERNEL-BASED SIGNAL RECONSTRUCTION." Web.
1. Mario Coutino, Sundeep Chepuri, Geert Leus. SUBSET SELECTION FOR KERNEL-BASED SIGNAL RECONSTRUCTION [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3060