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The face recognition system based on the only single classifier considering the restricted information can not guarantee the generality and superiority of performances in a real situation. To challenge such problems, we propose the hybrid Fourier features extracted from different frequency bands and multiple face models. The hybrid Fourier feature comprises(More)
Human facial wrinkles can be e€ectively utilized for facial analysis. It is not an easy task, however, to extract features of wrinkledness directly from a camera image of a human face. For one thing, it is dicult to construct appropriate mathematical models for wrinkle features. In this work, a fuzzy observer is proposed as a means of providing linguistic(More)
In this paper, we propose an efficient transfer leaning methods for training a personalized language model using a recurrent neural network with long short-term memory architecture. With our proposed fast transfer learning schemes, a general language model is updated to a personalized language model with a small amount of user data and a limited computing(More)
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