Manifold learning for multi-classifier systems via ensembles

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5519 LNCS, Issue , 2009, Pages 519-528

  Crawford, Melba ^a   Kim, Wonkook ^a  

^a PURDUE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BOTSWANA; COMPUTATIONAL REQUIREMENTS; DYNAMIC ENVIRONMENTS; GEOMETRIC DIFFERENCE; HIGH DIMENSIONAL DATA; HIGH-DIMENSIONAL; HYPERION; HYPERSPECTRAL DATA; K-NN CLASSIFIER; LABELED DATA; LIMITED TRAINING DATA; LOW-DIMENSIONAL MANIFOLDS; MANIFOLD LEARNING; MULTICLASSIFIER SYSTEM; NON-LINEAR MANIFOLD LEARNING; NONLINEAR DIMENSION; NONLINEAR SCATTERING; OKAVANGO DELTA; REMOTE SENSING DATA; REMOTELY SENSED DATA; STATISTICAL CLASSIFICATION;

CLASSIFIERS; CLUSTERING ALGORITHMS; LEARNING ALGORITHMS; LEARNING SYSTEMS; REMOTE SENSING;

CLASSIFICATION (OF INFORMATION);

EID: 70349421161     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02326-2_52     Document Type: Conference Paper

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