Multi-view Forests based on dempster-shafer evidence theory: A new classifier ensemble method

Proceedings of the 5th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2008

Volumn , Issue , 2008, Pages 18-23

  Hady, Mohamed Farouk Abdel ^a   Schwenker, Friedhelm ^a   Palm, Günther ^a  

^a UNIVERSITY OF ULM   (Germany)

Author keywords

Classifier ensembles; Dempster shafer evidence theory; Multi class decomposition; Multi view learning; Pattern recognition; Radial basis function networks

Indexed keywords

BENCHMARK DATUM; CAMERA IMAGES; CLASSIFIER ENSEMBLE METHODS; CLASSIFIER ENSEMBLES; DEMPSTER-SHAFER EVIDENCE THEORY; FEATURE SUBSET SELECTIONS; INDIVIDUAL CLASSIFIERS; LEARNING TASKS; MULTI VIEWS; MULTI-CLASS DECOMPOSITION; MULTI-VIEW LEARNING; MULTIPLE FEATURES;

ATTITUDE CONTROL; BENCHMARKING; CLASSIFIERS; EDUCATION; LEARNING SYSTEMS; OBJECT RECOGNITION; SIGNAL PROCESSING; THREE DIMENSIONAL;

RADIAL BASIS FUNCTION NETWORKS;

EID: 62949210785     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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