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.
In recent years, correlation filter based trackers outperform better than other trackers. Nevertheless, they only employ one feature and a single kernel, so they are usually not robust in complex scenes. In this paper, we derive a multi-feature and multi-kernel correlation filter based tracker which fully takes advantage of the invariance-discriminative power spectrums of various features and kernels...
Recent deep learning models have demonstrated strong capabilities for classifying text and non-text components in natural images. They extract a high-level feature globally computed from a whole image component (patch), where the cluttered background information may dominate true text features in the deep representation. This leads to less discriminative power and poorer robustness. In this paper,...
Vision-based vehicle detection and classification is an important problem in machine vision and attracted widespread attention due to its wide range of applications in intelligent traffic system. Most of the current vehicle type classification methods require to precisely locate car positions and use the cropped car regions as input. In this paper, we propose deep convolutional neural networks for...
A network security situation awareness model based on cooperative artificial immune system is discussed in this paper. In this model, efficient memory detectors in different computers can share the differences and improve the coverage and scalability of AIS. These detectors spread in the whole system can be organized by a cooperative channel. The function of the cooperative module is sending and receiving...
Shearer height adjusting is a key technology for coalmine unmanned working face. On the basis of establishing Shearer working face mathematical models, this paper determined related parameters influencing the Shearer height adjusting, then analyzed traditional Shearer memory cutting strategy and pointed out its shortcomings. Aiming at changing technical limitations of Shearer height adjusting currently,...
By simplifying and limiting current circuit model of metro power supply, this paper firstly showed stray current production and its damage, then analyzed bilateral power supply system using resistor network theory, and constructed stray current analytical model of bilateral power supply, computer simulation in different conditions of stray current distribution was carried out, the results show that...
In order to approximate the behavior of hysteresis nonlinearity which often severely limits the performance of system and improve the prediction accuracy of classical Preisach model (CPM), a least squares support vector machine (LS-SVM) based model is presented in this paper. According to the geometric characteristics of multi-loop hysteresis, the input voltage sequences was combined with output stroke...
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.