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In recent years, video timing characteristics of facial expression recognition research has become a hot topic. In this article, through analyzing changes in the feature data in realtime detection of facial expression, and combining temporal and spatial features to establish models, we put forward a more rapid and more efficient method to recognize facial expressions. Firstly, the feature extraction...
On orbit flying spacecraft detection in near range is of great significance to space based surveillance and the final stage of rendezvous & docking. In this paper, we propose an effective flying spacecraft detection algorithm with the earth as the cluttered dynamic background based on superpixels clustering. Labeled point trajectories are used as the motion cue, and both color and texture features...
According to the non-stationary feature of ECG signal, a new classification method of arrhythmia is introduced. This method combines empirical mode decomposition (EMD) with singular value decomposition (SVD), using support vector machines (SVM) for classifying. First, ECG signal is decomposed into a set of intrinsic mode function (IMF) using empirical mode decomposition method. The initial feature...
To overcome the limitations of traditional text classification approaches based on bag-of-words representation and to effectively incorporate linguistic knowledge and conceptual index into text vector space model, based on two thesaurus HowNet and Tongyici Cilin (hereinafter referred to Cilin), we use semantic vector to describe a document instead of traditional keywords vector, which is based on...
With the Internet developing, there are many documents on the same topic which contains redundance. Multi-Document summarization is a technology of natural languages processing, which extract important information from multiple texts about the same topic according to the compression ratio. Sentence selection is an important part of Multi-document summarization .In this paper, we design a calculate...
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