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.
Graph fusion is a widely adopted approach to multimodality fusion for image content analysis and retrieval. Typical graph fusion methods take into account both intra-graph relationship and inter-graph relationship of images in the fusion process. Although intra-graph relationship can be built easily based on the similarities of images in each modality, it is not trivial to build the inter-graph relationship...
We formulate the shape localization problem in the Bayesian framework. In the learning stage, we propose the Constrained Rank-Boost approach to model the likelihood of local features associated with the key points of an object, like face, while preserve the prior ranking order between the ground truth position of a key point and its neighbors; in the inferring stage, a simple efficient iterative algorithm...
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.