Classifier combination by bayesian networks for handwriting recognition

International Journal of Pattern Recognition and Artificial Intelligence

Volumn 23, Issue 5, 2009, Pages 887-905

  De Stefano, Claudio ^a   D'Elia, Ciro ^a   Di Freca, Alessandra Scotto ^a   Marcelli, Angelo ^b  

^a UNIVERSITY OF CASSINO AND SOUTHERN LAZIO   (Italy)

^b UNIVERSITY OF SALERNO   (Italy)

Author keywords

Bayesian Networks; Combining methods; Handwriting recognition; Multiclassifier system

Indexed keywords

BACK PROPAGATION NEURAL NETWORKS; BORDA COUNT; CLASSIFIER COMBINATION; COMBINING METHOD; COMBINING METHODS; COMBINING RULES; FEATURE VECTORS; HANDWRITING RECOGNITION; HIGH-DIMENSIONAL FEATURE SPACE; INDIVIDUAL CLASSIFIERS; INPUT PATTERNS; LEARNING VECTOR QUANTIZATION NEURAL NETWORKS; MAJORITY VOTE; MULTICLASSIFIER SYSTEM; UCI MACHINE LEARNING REPOSITORY;

ARTIFICIAL INTELLIGENCE; CLASSIFIERS; DISTRIBUTED PARAMETER NETWORKS; FACE RECOGNITION; FEATURE EXTRACTION; FEEDFORWARD NEURAL NETWORKS; INFERENCE ENGINES; INTELLIGENT NETWORKS; LEARNING SYSTEMS; PROBABILITY DISTRIBUTIONS; SPEECH RECOGNITION; VECTOR QUANTIZATION;

BAYESIAN NETWORKS;

EID: 69249128748     PISSN: 02180014     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218001409007387     Document Type: Article

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