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.
Nowadays, there are a lot of graph data in many fields such as biology, medicine, social networks and so on. However, it is difficult to detect anomaly and get the useful information if we want to apply the traditional algorithms in graph data. Statistical pattern recognition and structural pattern recognition are two main methods in pattern recognition. The disadvantage of statistical pattern recognition...
In this paper we present a novel and robust framework that decomposes continuous people detection into three parts, including off-line detection, tracking and learning. We introduce temporal coherence and spatial constraints into off-line detection phase by collecting a dynamical model from tracker which is estimated and updated by the learning algorithm. This method makes the detector aim at regions...
Intrusion Detection system has become the main research focus in the area of information security. Dempster-Shafer theory of Evidence (DST) and rough set theory (RST) are two typically effective tools in dealing with uncertainty questions including network intrusion detection. In this paper, to solve some problems in applying DST, a hybrid approach of RST and DST is proposed. Firstly, to obtain basic...
Principal Component Analysis can reduce the dimension of data and eliminate the data correlation with retaining the most information. The dimension of vehicle waveform data was reduced by Principal Component Analysis and a new sample space was created. The new sample space which was produced by Principal Component Analysis is employed as the inputs of ART2 network. Hence, to the same recognition right-rate,...
The computational complexity of reasoning within the Dempster-Shafer theory of evidence is one of the major points of criticism this formalism has to face. Various approximation algorithms have been suggested that aim at overcoming this difficulty. This paper presents an improved practical algorithm through reducing the number of focal elements in the belief function involved. In this proposed algorithm,...
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.