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This paper presents a new methodology for detecting deterioration in performance of deep neural networks when applied to on line visual analysis problems and enabling fine-tuning, or retraining, of the network to the current data characteristics. Pre-trained deep neural networks which have a satisfactory performance on the problem under study constitute the basis of the approach, with efficient transfer...
Emotion recognition systems could support professionals in a wide range of areas. Several work in emotion recognition has been carried out in the last decades, yet few attention has been payed to cross-culture context emotion recognition. Multimodal emotional expressions from 36 subjects with different cultural backgrounds were collected. In the experiment, participants observed and assessed emotional...
Humans are able to recognize facial expressions of emotion from faces displaying a large set of confounding variables, including age, gender, ethnicity and other factors. Much work has been dedicated to attempts to characterize the process by which this highly developed capacity functions. In this paper, we propose to investigate local expression-driven features important to distinguishing facial...
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