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.
Scattering transform has been successfully applied to medical image retrieval because it provides extensive semantic representations of an image. To efficiently handle the scattering transform results, the coefficient matrices are usually compressed to vectors. However, the existing features derived from the compressed vectors only consider one distribution information of the original image. To address...
High-precision attribute prediction is a challenging issue due to the complex object and scene variations. Targeting on enhancing attribute prediction precision, we propose an Enhanced Attribute Prediction-Latent Dirichlet Allocation (EAP-LDA) model to address this issue. EAP-LDA model enhances the attribute prediction precision in two steps: classification adaptation and prediction enhancement. In...
Object recognition is a wide applied task in computer vision. Many fine-grained object recognition approaches are proposed in recent years to detect the same species objects effectively at subordinate-level. In this paper, we present a novel fine-grained vehicle recognition by utilizing collaborative feedback scheme of detection-classification-tracking in surveillance video. We collect a labeled data...
In this paper, we present a simple and novel approach for solving single image super-resolution (SISR) without external data set. Based on a variant of gaussian process regression (GPR), SISR is formulated as a multi-task regression problem in which each learning task refers to estimation of the regression function for each image patch. Unlike conventional methods, which need to specify the form of...
In this paper, we present a novel approach to the problem of curve alignment, which measures and matches the similarity of two curves. Our method extracts curve features with high priorities given to salient and general features, and therefore leads to a satisfied result that meets human being's perceptions. We investigate the bimorphism in the level of sub-segment correspondences to ensure symmetric...
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.