Markov Network-Based Unified Classifier for Face Recognition

In this paper, we propose a novel unifying framework using a Markov network to learn the relationships among multiple classifiers. In face recognition, we assume that we have several complementary classifiers available, and assign observation nodes to the features of a query image and hidden nodes t...

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Veröffentlicht in:	IEEE transactions on image processing 2015-11, Vol.24 (11), p.4263-4275
Hauptverfasser:	Hwang, Wonjun, Kim, Junmo
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Biometric Identification - methods Databases, Factual Face Face - anatomy & histology Face recognition Feature extraction Humans Markov Chains Markov Network Markov random fields Multiple Classifiers Training
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