Latent dirichlet allocation uncovers spectral characteristics of drought stressed plants

Uncertainty in Artificial Intelligence - Proceedings of the 28th Conference, UAI 2012

Volumn , Issue , 2012, Pages 852-862

  Wahabzada, Mirwaes ^a   Kersting, Kristian ^a   Bauckhage, Christian ^a   Römer, Christoph ^b   Ballvora, Agim ^b   Pinto, Francisco ^c   Rascher, Uwe ^c   L'Eon, Jens ^b   Plümer, Lutz ^b  

^a FRAUNHOFER IAIS   (Germany)

^b UNIVERSITY OF BONN   (Germany)

^c FORSCHUNGSZENTRUM JÜLICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BIOCHEMICAL CONSTITUENTS; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL IMAGING; LATENT DIRICHLET ALLOCATION; SCATTERING AND ABSORPTION CHARACTERISTICS; SHORT-RANGE DEPENDENCY; SPECTRAL CHARACTERISTICS; SUSTAINABLE AGRICULTURE;

ARTIFICIAL INTELLIGENCE; PHYSIOLOGY; SPECTROSCOPY; STATISTICS;

DROUGHT;

EID: 84885980250     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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