Shi-Tong Wang

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Optimal discriminant plane is an important feature extraction method in machine learning, pattern recognition and image processing, etc. Based on this, Zhao et al. presented a hybrid optimal discriminant plane method by integrating uncorrelated and orthogonal discriminant vectors together. As the same to optimal discriminant plane, it is a supervised(More)
The prediction accuracy and generalization of fermentation process modeling on exopolysaccharide (EPS) production from Lactobacillus are often deteriorated by noise existing in the corresponding experimental data. In order to circumvent this problem, a novel entropy-based criterion is proposed as the objective function of several commonly used model-ing(More)
In this paper, we first propose a method to transform from LDA to PCA with the discriminative information embedded in a whitening transformation, and then we propose a simple support vector machine formulation to LDA. The results of experiments of face recognition conducted on ORL database show the effectiveness of the proposed method.
In this paper the client specific kernel discriminant analysis (CSKDA) is studied. The theory of CSKDA, which is the nonlinear model of the previously suggested model of client specific linear discriminant analysis, is proposed by using kernel technique. A new CSKDA subspace method is developed in order to reduce the computational complexity. Results of(More)
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