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.
Distributed and dynamic networks are ubiquitous in many real-world applications. Due to the huge-scale, decentralized, and dynamic characteristics, the global topological view is either too hard to obtain or even not available. So, most existing community detection methods working on the global view fail to handle such decentralized and dynamic large networks. In this paper, we propose a novel autonomy-oriented...
Stock market prediction focus on developing approaches to determine the future price of a stock or other financial product. The key task of stock market prediction is to determine the timing for the buying or selling of stock, undoubtedly, it is very difficult due to the high volatility and nonlinear relationships driven by short-term fluctuations in investment demand. In this work, we address this...
Demands for highly scalable parallel data processing platforms is raising due to an explosion in the number of massive-scale data intensive applications both in industry and in sciences. Performing statistical computing over huge data repositories poses a significant challenge to existing statistical software and computational infrastructure. After analyzing various open source computational infrastructures...
Maneuvering target tracking is a big challenge to the performance of a visual tracker. The paper proposes a method to keep the tracker robust to target maneuvering by selecting discriminative features from a large feature space, and constructing a velocity motion model with adaptive noise variance. Furthermore, the feature selection procedure is embedded into the particle filtering process with the...
High-Altitude Platform (HAP) is the most promising infrastructure for wireless communication in the near future. An essential problem need solving for the design of HAP communication systems is to establish an effective channel model for predicting the characteristics of the communication link. There have been many papers on this problem and several channel models have been proposed. The main work...
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.