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Demographic information is usually treated as private data (e.g., gender and age), but has been shown great values in personalized services, advertisement, behavior study and other aspects. In this paper, we propose a novel approach to make efficient demographic prediction based on smartphone application usage. Specifically, we firstly consider to characterize the data set by building a matrix to...
The variational expectation maximization (VEM) algorithm has recently been increasingly used to replace the expectation maximization (EM) algorithm in Gaussian mixture model (GMM) based statistical image segmentation. However, the VEM algorithm, similar to its traditional counterpart, suffers from the sensitiveness to initializations, and hence is prone to be trapped into local minima. In this paper,...
When dealing with high-dimensional datasets with fewer samples, feature selection and ensemble learning are two effective strategies. In this paper, we focus our attention on genetic algorithm based feature selection for ensemble learning. We use an improved GA algorithm (IGA) to reduce the dimensionality of the feature space, and then evaluate using bagging and Ada-Boost constructed by the reduced...
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