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.
By investigating the relationships among generalization performance, VC dimension and margin in SVM, this paper proposes a novel similarity margin of inner product. Then, the richness or flexibility of corresponding function class, along with estimative upper bound of relevant dimensionality, is analyzed in detail. Aiming at the demerit of difficult selection of optimal kernel function and its parameters...
Interrelation and constraint between multi-measure parameters of reference image and suitable matching area have not been considered in most of methods for selecting matching area. In order to overcome this drawback, we present a novel method of predicting the suitability using support vector machine (SVM). Firstly, gray-based and edge-based measure parameters are selected. Then the sample images...
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.