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Head pose estimation remains a unique challenge for computer vision system due to identity variation, illumination changes, noise, etc. Previous statistical approaches like PCA, linear discriminative analysis (LDA) and machine learning methods, including SVM and Adaboost, cannot achieve both accuracy and robustness that well. In this paper, we propose to use Gabor feature based random forests as the...
Wood classification is fairly important to the forestry industry and forest conservation. There have already been some microcomputer-assisted classification methods which accomplish the classification mainly with feature image analysis. But it is also necessary to find out a more effective method to optimize the classification process. So we propose to apply principal component analysis (PCA), 2-dimensional...
Neural activity is very important source for data mining and can be used as a control signal for brain-computer interfaces (BCIs). Particularly, Magnetic signals of neurons are enriched with information about the movement of different part of the body such as wrist movement. In this paper, we use MEG (Magneto encephalography) signals of two subjects recorded during wrist movement task in four directions...
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