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Objective: Daytime short nap involves individual physiological states including alertness and drowsiness. In order to have a better understanding of the periodical rhymes of physiological states and then promote a good interpretability of alertness, the aim of this study is to detect drowsiness during daytime short nap. Methods: A method of Bayesian-copula discriminant classifier (BCDC) was introduced...
In social network analysis, correlation estimation is a critical part for various applications. With the prevalence of location-based services, geographic information is incorporated as a new perspective to refer the interpersonal correlation. In this paper, we propose a novel multi-scale multi-feature collaborative learning model for robust location-based correlation estimation. Geographic attributes...
In this paper, a new Attributed Scattering Center(ASC) feature extraction model is proposed. Together with normalization procedure, optimization of amplitude and the length of scattering center feature extraction, we can get a fine estimation of ASC parameter. The image reconstruction experiment demonstrates that with fewer scattering center can we get a satisfied description of SAR image. Moreover,...
Automatic age estimation from facial images has aroused research interests in recent years due to its promising potential for some computer vision applications. Among the methods proposed to date, personalized age estimation methods generally outperform global age estimation methods by learning a separate age estimator for each person in the training data set. However, since typical age databases...
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