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In order to solve the generalization performance and complex background problems of hand gesture recognition, online dynamic hand recognition with multiple cues is proposed in this paper. The disturbance caused by complex background is reduced by motion detection. As a result of skin color's cluster characteristic, the online skin classifier is constructed by Multi-Gaussian model. The static hand...
In the past decade there has been massive growth of data on the internet. Many people rely on XML based RSS feeds to receive updates from websites. In this paper, we propose a method for managing the RSS feeds from various news websites. A web service is developed to deliver filtered news items from RSS feeds to a mobile client. Each news item is indexed, subsequently, the indexes are used for filtering...
In the past decade the massive growth of the Internet brought huge changes in the way humans live their daily life; however, the biggest concern with rapid growth of digital information is how to efficiently manage and filter unwanted data. In this paper, we propose a method for managing RSS feeds from various news websites. A Web service was developed to provide filtered news items extracted from...
Membrane protein interactions are involved in the regulation and execution of all biochemical pathways within the cell. It is crucial to identify the binding partners for understanding the function of an uncharacterized protein, and when these partners turn out to have known function, deductions about the potential role of the uncharacterized protein can often be made. However, the analysis of interactions...
At present, about a quarter of all genes in most genomes contain transmembrane (TM) helices, and among the overall cellular interactome, helical membrane protein interactions are a major component. Interactions between membrane proteins play a significant role in a variety of cellular phenomena, including the transduction of signals across membranes, the transfer of membrane proteins between the plasma...
The traditional method of detecting Chironomid larvaes and plankton mostly is manual identification, which is inefficient. This paper puts forward the Chironomid larvae recognition method which is based on the support vector machines. The Chironomid larvae images are decomposed using a wavelet from which the features were extracted and kernel function is used. The experiment shows that the recognition...
Branch and bound for semi-supervised support vector machines as an exact, globally optimal solution is useful for benchmarking different practical S3VM implementation. But, global optimization can be computationally very demanding. Parallel implementation of the algorithm enables us to reduce computational time significantly and to solve larger problems. Focusing on the time consuming problem of BBS3VM,...
This paper combines the rough set (RS) theory and support vector machine (SVM), and making best use of the attribute reduction characteristic of RS theory catches the main attribute of the research subjects, and it uses SVM to make prediction model, and applies this method to construction safety pre-warning. The experiment results show that the method is viable, which makes a useful exploration research...
Traditional information retrieval (IR) method use keywords matching to filter the documents, but usually retrieves unrelated Web pages. In order to effectively classify Web pages, we present a Web page categorization algorithm, named WebPSC (Web page similarity categorization). This algorithm uses latent semantic indexing (LSI) to model Web pages and implement categorization based on hybrid pattern...
Model selection for semi-supervised support vector machine is an important step in a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the bounds of the leave-one-out such as radius-margin bound and on the performance measures such as generalized approximate cross-validation empirical error, etc. In order to get the parameter of SVM with...
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