Support vectors machines regression for estimation of mars surface physical properties

ESANN 2009 Proceedings, 17th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning

Volumn , Issue , 2009, Pages 195-200

  Bernard Michel, C ^a   Doute S ^b   Fauvel, M ^a   Gardes, L ^a   Girard, S ^a  

^a UNIV GRENOBLE ALPES   (France)

^b LABORATOIRE D ASTROPHYSIQUE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

HIGHLY ACCURATE; HYPERSPECTRAL DATA; KERNEL FUNCTION; PARTIAL LEAST SQUARE (PLS); PHYSICAL MODEL; PROCESSING TIME; SUPPORT VECTOR; SUPPORT VECTORS MACHINE;

DATA PROCESSING; LEAST SQUARES APPROXIMATIONS; NEURAL NETWORKS;

PHYSICAL PROPERTIES;

EID: 84886997734     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

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