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Microblog as one of the most popular social network sites, has become an important platform for people to share, exchange, obtain and spread information in their life. This paper infers the Microblog user's age range from the perspective of feature selection. We analyze the user microblog text from six kinds of features. This paper has two distinctive characteristics: (i) a new feature selection method...
Essays in different text genres have different ideas and writing method. Prediction the text genres firstly will help get a better accuracy when predicting the success of literary or finding the beautiful words and sentences in the essay. And it will help set a different standard for different text genres when scoring the writing by computer. Words and structure can be effective in discriminating...
With the rapid development and popularity of the Internet technology, more and more people like to share their feelings and experiences on the Internet. The increasing rich in network resources, such as personal blogs, online reviews, etc., provide us with new opportunities and challenges. Opinion mining is talking about how to use information technology to mining, and understand the views of others...
A novel hybrid human action detection method based on three descriptors is proposed. Firstly, the minimal 3D space region of human action region is detected by combining frame difference method and VIBE algorithm, and the threedimensional histogram of oriented gradient (HOG3D) is extracted. At the same time, the characteristics of three dimensional global descriptors based on frequency domain filtering...
In order to assist diagnosis and surgical repair of congenital mitral disease, quantitative analysis of 3D geometry of the mitral complex is necessary for better understanding mechanism and dysfunction of the mitral complex. This work aims to extract geometric parameters of mitral complex and utilize Support Vector Machines (SVM) based classifier to support diagnosis of congenital mitral regurgitation...
Recently, the research on Brain-Computer Interface (BCI) technology has achieved great progress, and the BCI system based on Motor Imagery (MI) has been intensively studied in many labs. The essential part of signal processing in BCI is how to extract the MI features in electroencephalographic (EEG) and recognize the MI task accurately. One challenge lies in that EEG signals are non-stationary, whose...
In BCI research community, support vector machine (SVM) is an effective method for motor imagery (MI)-based electroencephalographic (EEG) classification. However, the computation of decision function during SVM classification stage for a new EEG trial is time-consuming due to the large number of support vectors (SV). This paper proposes a new method to reduce the number of support vectors so that...
This paper presents a robust watermarking algorithm based on regression of SVM. The host image is divided into two parts firstly. The first one is to train SVM using features including four relationships between the neighbor pixels, and the other part is to embed watermarks. The center pixels of image blocks are compared with the predicted pixels of trained SVM, and then modified to embed watermarks...
Stock market forecasting has attracted a lot of research interests in previous literature. Traditionally, the autoregressive moving average (ARMA) model has been one of the most widely used linear models in time series forecasting. However, the ARMA model cannot easily capture the nonlinear patterns. And recent studies have shown that artificial neural networks (ANN) method achieved better performance...
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