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This paper proposes a novel approach for automatic estimation of four important traits of speakers, namely age, height, weight and smoking habit, from speech signals. In this method, each utterance is modeled using the i-vector framework which is based on the factor analysis on Gaussian Mixture Model (GMM) mean supervectors, and the Non-negative Factor Analysis (NFA) framework which is based on a...
This paper proposes a method to classify the enterprise marketing competition by using the support vector machines, and has done a preliminary study in the application of the support vector machine theory in the field of economic management. Tests indicate that support vector machines can well solve the problems of the small sample size and the high-dimensional one, and the computational complexity...
This paper proposes a novel method for facial expression recognition by using independent component analysis of Gabor features. In the feature extraction stage, Gabor feature vectors are firstly extracted from a set of facial expressions images, then using independent component analysis (ICA) to extract the independent Gabor features. After that, the independent Gabor features are used to train SVM...
This paper presents an empirical evaluation of common vector based methods and some extensions in a particular and difficult domain corresponding to the characterization of pharmacological properties from their chemical structure for automatic drug classification problems. Several classic pattern classification methods have already been applied to this problem with promising results. In particular,...
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