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Unsupervised classification of hyperspectral imagery (HSI) relies on a data generative model, based on which the labels of pixels and the model parameters are iteratively estimated. Traditionally, the generative model is based on the Gaussian mixture model (GMM) that describes the data generation process from a statistical perspective. However, considering the fact that a semantic class is always...
Currently, e-commerce is being applied more and more widely in daily life. However, how to give an accurate, real-time and low-cost estimation of online retail sales is still a difficult problem from both academic and industrial aspects. This paper presents an efficient method for the estimation of online retail sales that is characterized by an order detection algorithm embedded in distributed clients...
The paper profiles sample of earnings manipulation in U.S. listed companies, identifies their distinguishing characteristics, and estimates a model for detecting manipulation. Compared with whole sample firm, there are small amount of firm engaging in earnings management and data are uneven for analysis, Weighted Discriminative Model (support vector machine) have been selected to solve this problem...
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