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There are many difficulties for face recognition, such as varying illumination, facial expressions, high dimensions of images, and optimal classifier design. The facial features would be vague by varying illumination and the positions of facial features would be changed by expressions. These problems influence on the recognition results heavily. Moreover, the dimensions of raw images are very high...
Smoking is harmful to our health, and tar is one of the main substance should be paid attention to. We can greatly reduce serious risks to human health by finding the correlation between chemical elements in tobacco leaf and tar. We introduce intelligent algorithms as support vector machine (SVM), M5' model tree, information diffusion technique and PCA, to do the correlation analysis, and combine...
Smoking is harmful to our health, and tar is one of the main substance should be paid attention to. We can greatly reduce serious risks to human health by finding the correlation between chemical elements in tobacco leaf and tar. We introduce intelligent algorithms as support vector machine (SVM), M5' model tree, information diffusion technique and PCA, to do the correlation analysis, and combine...
In this paper, we address the issues related to the design of fuzzy robust principal component analysis (FRPCA) algorithms. The design of robust principal component analysis has been studied in the literature of statistics for over two decades. More recently Xu and Yuille proposed a family of online robust principal component analysis based on statistical physics approach. We extend Xu and Yuille's...
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