Feature Extraction via Recurrent Random Deep Ensembles and its Application in Gruop-level Happiness Estimation

24 Jul 2017 Shitao Tang Yichen Pan

This paper presents a novel ensemble framework to extract highly discriminative feature representation of image and its application for group-level happpiness intensity prediction in wild. In order to generate enough diversity of decisions, n convolutional neural networks are trained by bootstrapping the training set and extract n features for each image from them... (read more)

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