The work of the paper derived from some subject “XXXX basic research” , which mainly use the underwater target feature extraction and recognition and support vector machine-based method to identify chitinous object and stone targets, in order to increase the recognition rate of underwater targets.The methods in this paper that is to make identification by
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Facial expression recognition is a developing hot research topic in artificial field. It is one of most challenging problems in the fields of biometric identification, image procession, machine vision, movement tracking, pattern recognition, physiology and psychology. Facial expression recognition is aiming at letting artificial intelligent products recognize human facial expressions and analyze emotions automatically. It
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With the development of internet, we hope to classify the web pages automatically in order to organize and analyse the large numbers of information efficiently. Among the various web page classification methods, Support Vector Machine (SVM) became the hot spot research area because of its excellent learning capacity.First of all we introduce the development of
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With the development of the next-generation network technology, the gradual integration of the Internet and the traditional telecommunications network has become the inevitable trend of network development, and the VoIP technology caters to this trend. As an important VoIP control signaling, SIP(Session Initiation Protocol) has been identified as the core protocol of the third generation
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Speech recognition system is divided into two major components, one is the acoustic model; the other is the language model. Speech acoustic model is a description of the model, the state of voice recognition by the state to describe the voice output to determine a voice; language model is the model output for each acoustic
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