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A Markov random field model for combining optimum-path fore..:

Ponti Jr., Moacir P ; Papa, João Paulo ; Levada, Alexandre L. M
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). , 2011

Link: http://hdl.handle.net/11449/72816

RT Journal
T1 <Title>A Markov random field model for combining optimum-path forest classifiers using decision graphs and game strategy approach</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftunivespir:oai:repositorio.unesp.br:11449_72816&Exemplar=1&LAN=DE
				
A1 Ponti Jr., Moacir P
A1 Papa, João Paulo
A1 Levada, Alexandre L. M
YR 2011
K1 Classifier decisions
K1 Decision graphs
K1 Decision template
K1 Ensemble of classifiers
K1 Final decision
K1 Forest classifiers
K1 Game strategies
K1 Markov Random Field model
K1 Multiple classifier systems
K1 Multiple classifiers systems
K1 Random field model
K1 Real data sets
K1 Computer simulation
K1 Computer vision
K1 Forestry
K1 Image segmentation
K1 Pattern recognition systems
K1 Classifiers
K1 Computers
K1 Image Analysis
K1 OCR
K1 Patterns
K1 Random Processes
K1 Segmentation
K1 Simulation
K1 Vision
JF Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
LK http://hdl.handle.net/11449/72816
DO http://hdl.handle.net/11449/72816
SF ELIB - SuUB Bremen

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