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Randomized kernels for large scale Earth observation applications

Randomized kernels for large scale Earth observation applications

Adrián Pérez-Suay
J. Amorós-López
L. Gómez-Chova
Valero Laparra
Jordi Munoz-Marí
Gustau Camps-Valls
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Papers citing "Randomized kernels for large scale Earth observation applications"

5 / 5 papers shown
Title
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
93
11
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
21
3
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
188
137
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
32
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
85
42
0
02 Oct 2017