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.
A class of structure seeking neural networks is presented which are capable of learning parametric structures under unsupervised mode. The functionality of the class of networks is analogous to that of the classical Hough transform, one of the most widely used algorithms in visual pattern recognition. However, the present class of networks provide a much more efficient representation with a highly...
Neural networks have been traditionally considered as an alternative approach to pattern recognition in general, and speech recognition in particular. There have been much success in practical pattern recognition applications using neural networks including multi-layer perceptrons, radial basis functions, and self-organizing maps (SOMs).In this paper, we propose a system of SOMs based on the association...
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.