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Most previous studies on opinion mining have focused on sentiment classification and opinion extraction, little research has been done on mining the underlying reasons for opinions. In this paper, we propose a novel weakly-supervised semantic pattern matching method to explanatory segment extraction in Chinese product reviews. To this end, we first exploit chi-squares to compute lexical explanatoryness...
In this paper, we propose a system level design for blind source separation to separate mixture automatically. We use a fast time frequency mask technique by combining the binary time-frequency mask and spectral subtraction method. Our primary object is to separate the noise source from the targeted source and reduce the noise influence. Not only the audio quality is concerned but also the reduction...
We will introduce a method to extract object boundaries from an image. This method utilizes a deformable curve based on the Self Organizing Map algorithm. The proposed SOM has some unique properties such as batch update and neuron insertion/deletion. These properties can make the SOM converge to object concavities as well as maintain a uniform distribution of neurons along the SOM. In comparison with...
In this paper, the autoregressive (AR) model of time-series is presented to recognize human activity from a tri-axial accelerometer data. Four orders of autoregressive model for accelerometer data is built and the AR coefficients are extracted as features for activity recognition. Classification of the human activities is performed with support vector machine (SVM). The average recognition results...
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