Ensemble learning based on multiple kernel learning for hyperspectral chemical plume detection

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 7695, Issue , 2010, Pages

  Gurram, Prudhvi ^a   Kwon, Heesung ^a  

^a U S ARMY RESEARCH LABORATORY   (United States)

Author keywords

Chemical plume detection; Ensemble learning; Multiple kernel learning; SVM

Indexed keywords

CHEMICAL PLUMES; ENSEMBLE LEARNING; ENSEMBLE TECHNIQUES; ERROR RATE; GRADIENT DESCENT OPTIMIZATION; HYPERSPECTRAL; INDIVIDUAL CLASSIFIERS; INPUT DATAS; KERNEL LEARNING; KERNEL MATRICES; MAJORITY VOTING; MULTIPLE KERNEL LEARNING; NORMAL VECTOR; PERFORMANCE COMPARISON; SEPARATING HYPERPLANE; SPECTRAL FEATURE; SVM CLASSIFIERS; WEAK CLASSIFIERS; WEIGHTED AVERAGING; WEIGHTING COEFFICIENT;

CHEMICAL DETECTION; CONTENT BASED RETRIEVAL; LEARNING ALGORITHMS; MATRIX ALGEBRA; OPTIMIZATION; WEIGHING;

CLASSIFIERS;

EID: 77953770627     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.850101     Document Type: Conference Paper

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