Mixture of grouped regressors and its application to visual mapping

Mixture of regressors (MoR) is a widely used regression approach for approximating nonlinear mappings between input and target outputs. However, existing learning procedures for MoR are prone to overfitting when only limited amounts of training data are available. To address this problem, we propose...

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Veröffentlicht in:	Pattern recognition 2016-05, Vol.53, p.184-194
Hauptverfasser:	Pan, Lili, Saragih, Jason M., Chu, Wen-Sheng
Format:	Artikel
Sprache:	eng
Schlagworte:	Approximation EM algorithm Group partition Learning Mapping Mathematical models Mixture of regressors Pattern recognition Regression Training Visual
Online-Zugang:	Volltext
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