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This paper proposes a class of principal component analysis (PCA) learning algorithms with constant learning rates. It will prove via deterministic discrete time (DDT) method that these PCA learning algorithms are globally convergent.
In order to meet real-time requirements of strip surface defect detection, the extracted 41 original features of strip surface defects are reduced-dimensionally optimized through the principal component analysis. As the study samples of improved BP neural network, the 10 integrated features are used to train and test network. The trained network model is saved for on-line recognition and classification...
Nowadays China has speeded up urbanization, urban land use occurred in areas of significant change. In order to obtain land cover information speedily and correctly, many methods from data mining are used to classify the remote sensing image. In recent years, using decision trees (DTs) to classify remotely sensed data has increased, due to the algorithm running fast and making no statistical assumptions...
This paper presents a novel method for generating varied, realistic geometric face models by synthesizing facial features according to anthropometric parameters. Our method takes as examples scanned 3D face models in order to exploit the parameter-to-geometry correlations that are presented in the real faces. A two-step model fitting approach is used to establish correspondences among scanned models...
A core competence evaluation index system of high-tech enterprise is established according to the characteristics of high-tech enterprise and actual conditions of S City. Principal component analysis is applied to evaluate the core competence of 60 enterprises from three leading industry of the city. By associating the four principal components with three competence levels (including core competence,...
This paper presents a novel data-driven method for creating varied realistic face models by synthesizing a set of facial features according to intuitive high-level control parameters. Our method takes as examples 3D face scans in order to exploit the variations presented in the real faces of individuals. We use an automatic model fitting approach for the 3D registration problem. Once we have a common...
This paper presents an automatic runtime system for generating varied realistic geometric models of human faces based on morphing of facial features. Our method takes as examples 3D scanned human face models in order to exploit the parameter-to-geometry correlations that are presented in the real faces. In order to establish correspondence among models, we use a two-step model fitting approach to...
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