ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2007.14706
  4. Cited By
Kernel Methods and their derivatives: Concept and perspectives for the
  Earth system sciences
v1v2 (latest)

Kernel Methods and their derivatives: Concept and perspectives for the Earth system sciences

29 July 2020
J. E. Johnson
Valero Laparra
Adrián Pérez-Suay
Miguel D. Mahecha
Gustau Camps-Valls
ArXiv (abs)PDFHTML

Papers citing "Kernel Methods and their derivatives: Concept and perspectives for the Earth system sciences"

6 / 6 papers shown
Title
Sensitivity Maps of the Hilbert-Schmidt Independence Criterion
Sensitivity Maps of the Hilbert-Schmidt Independence Criterion
Adrián Pérez-Suay
Gustau Camps-Valls
49
13
0
02 Nov 2016
Nonlinearities and Adaptation of Color Vision from Sequential Principal
  Curves Analysis
Nonlinearities and Adaptation of Color Vision from Sequential Principal Curves Analysis
Valero Laparra
S. Jiménez
Gustavo Camps-Valls
Jesús Malo
68
51
0
31 Jan 2016
Principal Polynomial Analysis
Principal Polynomial Analysis
Valero Laparra
S. Jiménez
D. Tuia
Gustau Camps-Valls
Jesús Malo
45
27
0
31 Jan 2016
Dimensionality Reduction via Regression in Hyperspectral Imagery
Dimensionality Reduction via Regression in Hyperspectral Imagery
Valero Laparra
Jesús Malo
Gustau Camps-Valls
67
42
0
31 Jan 2016
Kernel Manifold Alignment
Kernel Manifold Alignment
D. Tuia
Gustau Camps-Valls
64
93
0
09 Apr 2015
Robust Kernel Density Estimation
Robust Kernel Density Estimation
JooSeuk Kim
Clayton D. Scott
OOD
98
390
0
15 Jul 2011
1