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Randomized kernels for large scale Earth observation applications

Randomized kernels for large scale Earth observation applications

7 December 2020
Adrián Pérez-Suay
J. Amorós-López
L. Gómez-Chova
Valero Laparra
Jordi Munoz-Marí
Gustau Camps-Valls
ArXiv (abs)PDFHTML

Papers citing "Randomized kernels for large scale Earth observation applications"

5 / 5 papers shown
A deep network approach to multitemporal cloud detection
A deep network approach to multitemporal cloud detection
D. Tuia
B. Kellenberger
Adrián Pérez-Suay
Gustau Camps-Valls
183
12
0
09 Dec 2020
Randomized RX for target detection
Randomized RX for target detection
Fatih Nar
Adrián Pérez-Suay
J. A. Padron
Gustau Camps-Valls
111
4
0
08 Dec 2020
A Generalizable and Accessible Approach to Machine Learning with Global
  Satellite Imagery
A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery
Esther Rolf
J. Proctor
T. Carleton
I. Bolliger
Vaishaal Shankar
Miyabi Ishihara
Benjamin Recht
S. Hsiang
378
171
0
16 Oct 2020
Fast Optimal Bandwidth Selection for RBF Kernel using Reproducing Kernel
  Hilbert Space Operators for Kernel Based Classifiers
Fast Optimal Bandwidth Selection for RBF Kernel using Reproducing Kernel Hilbert Space Operators for Kernel Based Classifiers
B. Damodaran
72
3
0
14 Apr 2018
Remote Sensing Image Classification with Large Scale Gaussian Processes
Remote Sensing Image Classification with Large Scale Gaussian Processes
Pablo Morales-Álvarez
Adrián Pérez-Suay
Rafael Molina
Gustau Camps-Valls
274
45
0
02 Oct 2017
1
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