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A parse tree contains rich syntactic structured information, and the structured features have been proved effective in relation extraction. In this paper, we proposed another way to efficiently utilize structured features but in a weakly learning way. Co-training algorithm was chosen by us, the structured features were set to be one view of it, and the flat features were set to be the other. Through...
In the CHMM (Continuous Hidden Markov Model) based speech recognition algorithm, Output Probability Calculation (OPC) is the most computation-intensive part. To reduce power consumption and design cost, this paper presents a custom-designed co-processor to implement OPC. The standard SRAM interface of the co-processor allows it to be controlled by various micro-controllers. The co-processor has been...
This paper proposes a method of retrieval a music information by a voice or whistling clip. The method is based on the content of the music file. Firstly, extract the pitch as a kind of musical feature form the digital clip file, and then fix and smooth the discrete data. Bring forward a novel melody contour representation method to depict the musical feature properly. At last, adopt an improved LCS...
A new algorithm named wavelet transform weighted modular PCA is proposed for face recognition. Firstly, the training images and the testing image are preprocessed with wavelet transform and the LL band and the LH/HL average band are divided into sub-images with the same size. Secondly, the prospective classify contribution of each sub-model of the two bands are computed. Thirdly, each sub-image of...
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