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.
Structured output support vector machine (SVM) based tracking algorithms have shown favorable performance recently. Nonetheless, the time-consuming candidate sampling and complex optimization limit their real-time applications. In this paper, we propose a novel large margin object tracking method which absorbs the strong discriminative ability from structured output SVM and speeds up by the correlation...
We herein propose an evolutionary multi-agent system (EMAS for short) to build an ensemble of surrogates for prediction. In our EMAS, we employ six kinds of basic surrogates, including Gaussian process, Kriging model, polynomial response surface, radial basis function, radial basis function neural network, and support vector regression machine. We define each surrogate as one agent and co-evolve parameters...
The design work is important to normal employment and safety and stabilization of a project in geotechnical engineering. The system researched in geotechnical engineering is altitudinal complex and indeterminate, so traditional design methods are difficult to deal with an actual project ideally. According to the characteristics of inverse design method in geotechnical engineering, the problems on...
In this paper, an intelligent prediction approach based on the neural networks rough set of a Genetic Selection Strategy Particle Swarm Optimization Algorithm(GSS-PSO) is proposed to measure the risky area caused by slope. With this approach, the attribute reduction method based on neighborhood rough set is adopted to conduct the attribute reduction, then the genetic strategy is used to reform the...
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.