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Artificial neural network models are a popular estimation tool for fitting nonlinear relationships because they require no assumptions about the form of the fitting function, non-Gaussian distributions, multicollinearity, outliers and noise in the data. The problems of back-propagation models using artificial neural networks include determination of the structure of the network and over-learning courses...
In this paper we focus on building robust image representations for gender classification from full human bodies. We first investigate a number of state-of-the-art image representations with regard to their suitability for gender profiling from static body images. Features include Histogram of Gradients (HOG), spatial pyramid HOG and spatial pyramid bag of words etc. These representations are learnt...
Support vector machine (SVM) is a new statistic method which could make a good prediction with limited instances. Compared with artificial neutral network (ANN), SVM can provide better genetic ability. Shift quality is one of important vehicle performances, because it can be" felt" directly by the terminal customers. Therefore, how to make a correct assessment during the development is an...
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