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.
We propose a novel unified framework for the initial detection of possible targets within the aerial images using saliency detection. Our method is a bottom-up approach and computes Locally Adaptive Regression Kernel (LARK) from the given image, which measures the likeness of a pixel to its surroundings. Visual saliency is then computed using the self-resemblance measure. The framework results in...
Focusing on the issue of fault diagnosis method in existing analog circuit, the nonlinear of circuit and the global and local underlying information of fault should be considered simultaneously. Global and local preserving of fault information is proposed for semi-unsupervised learning algorithms of analog circuit faults diagnosis, the within-class scatter of linear discriminant analysis (LDA) combines...
In seismic data processing, Prestack Kirchhoff time migration is a forming method, and widely used. In this paper, we introduced how to port the original CUDA program to OpenCL, and how to implement and optimize Prestack Kirchhoff Time Migration algorithm on OpenCL and General Purpose GPU, and how to optimize the OpenCL program to get the competitive performance comparing with the original CUDA version...
Classifier fusion methods are usually used to combine multiple classification decisions and generate better classification results than any single classifier. In order to improve object classification accuracy, it is a common method to assign weights to classifiers based on their importance in a multiple decision system. In this paper we put forward a method to weight different classifiers in classifier...
Motivated by the traditional bilateral filtering, apart from considering geometric closeness and photometric similarity, we introduce the gradient factor to form a new filter kernel. Gradient reflects to the trend of edge and texture directly. By introducing the gradient weight factor, the proposed filtering algorithm overcomes the isotropy of the traditional Gaussian function, and has the directional...
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.