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.
This paper studies how to integrate multi-modal features in automatic topic segmentation of Mandarin broadcast news. The multi-modal feature integration problem is formulated within the Maximum Entropy (MaxEnt) scheme for topic boundary classification by maximizing the entropy and respecting all known constraints (i.e., multiple features contributions). We particularly consider two types of features:...
With the growth of e-commerce, the development of recommendation systems is helpful for users to select desirable products from all kinds of them. The existing e-commerce recommendation approaches are based on a user's preference on music. However, sometimes, it might better meet users' requirement to recommend products according to emotions. In this paper, we propose a novel framework model for emotion...
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.