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Factor analysis is mainly by extracting the compact representations of speakers' utterances, which are referred to as i-vectors. A low new space called total variability space, which is speaker and channel dependent is trained in the modeling. During the experiments, channel compensation approaches are used to remove the interference included by i-vectors. They are respectively are Nuisance Attribute...
Text Classification is a daunting task because it is difficult to extract the semantics of natural language texts. Many problems must be resolved before natural-language processing techniques can be effectively applied to a large collection of texts. A significant one is to extract semantic information from corpus in plan text. In Vector Space Model, a document is conceptually represented by a vector...
In this paper we present an automatic hand gesture recognition system operating on video stream. The system consists of two modules: hand gesture detection module and hand gesture recognition module. The detection module could accurately locate the hand regions with a blue rectangle; this is mainly based on Viola-Jones method, which is currently considered the fastest and most accurate learning-based...
In this paper, a new method is proposed for predicting the future evolution of a time series of spacecraft telemetry data. Because such a time series has usually a non-stationary trend, nonlinear functional relationship between inputs and outputs and other uncertainties, an appropriate prediction model for spacecraft data is needed to set up. To this end, we analyze the characteristics of the Probability...
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