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Based on the traditional principal component analysis (PCA) in facial recognition, first this paper proposes an bootstrap resampling method in PCA to overcome the small sample problem in the process of data mean centering. Second this paper uses the data standardization to improve the mean centering process. Experiments suggest that the proposed method is much better than the traditional PCA in facial...
An algorithm for fast shot boundary detection based on SVM (Support Vector Machine) is proposed. In this algorithm, smooth intervals inside shots are first eliminated from the original video frame sequence. During this process, a gray variance sequence is extracted and serves as the basis for the detection of smooth intervals. Then a new frame sequence named RFS (Reordered Frame Sequence) is formed...
The newly developed topological indices A m1 –A m3 and the molecular connectivity indices m X were applied to multivariate analysis in structure–property correlation studies. The topological indices calculated from the chemical structures of some hydrocarbons were used to represent the molecular structures. The prediction of the retention indices of the hydrocarbons on three...
The prediction of migration time of electroosmotic flow (EOF) marker was achieved by applying artificial neural networks (ANN) model based on principal component analysis (PCA) and standard normal distribution simulation to the input variables. The voltage of performance, the temperature in the capillary, the pH and the ionic strength of background electrolytes (BGE) were applied as the input variables...
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