The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper, linear discriminant analysis (LDA) based on Lp-norm (LDA-Lp) optimization method is proposed. The objective function utilizing the Lp-norm with arbitrary p value is studied. By maximizing the Lp-norm-based ratio between the between-class scatter and the within-class scatter, LDA-Lp can construct a set of local optimal projection vectors. Moreover, the optimal projection vectors can...
Clustering analysis to identify hot spots of interest is a popular topic in spatial data mining. One of the challenges for existing clustering approaches is that they are not suitable for clustering high-dimensional feature vectors. Many existing density-based clustering algorithms model the point density based on two-dimensional information without considering the impact of the vertical dimension...
Drilling processes in the oil industry utilize directional measurement-while-drilling (MWD) instruments to provide realtime monitoring of the position and the orientation of the bottom hole assembly (BHA). This article aims at describing a system and method incorporated with solid-state vibration angular rate sensors(SVARS) and accelerometers for improving the surveying accuracy. These sensors are...
Credit scoring has attracted lots of research interests in the literature. The credit scoring manager often evaluates the consumer's credit with intuitive experience. However, with the support of the credit classification model, the manager can accurately evaluate the applicant's credit score. Support Vector Machine (SVM) classification is currently an active research area and successfully solves...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.