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.
Various network relationships in many complex social systems can be described effectively by multilayer networks, but we find that there are interactions between individuals attributes and their social relationships by a principle of homophily, which hence impact the process of information spread and social influence in complex social systems. In order to integrate individuals relationships and attributes...
Recognizing human actions in complex scenes is a challenging problem due to background clutters, camera motion, occlusions, and illumination variations. Markov models are widely used to model temporal statistical relationships among elementary actions for human action recognition. However, traditional Markov models cannot model long-range temporal relations for complex activities, and the states of...
Background modeling from a stationary camera is a crucial component in video surveillance. Traditional methods usually adopt single feature type to solve the problem, while the performance is usually unsatisfactory when handling complex scenes. In this paper, we propose a multi-scale strategy, which combines both texture and color features, to achieve a robust and accurate solution. Our contributions...
In traditional bag-of-words method, each local feature is treated evenly for representation. One disadvantage of this method is that it is not robust to noise, which makes the performance impaired. In this paper, a novel human action recognition approach which learns weights for features is proposed, where each feature is assigned a weight for human action representation. These weights are learned...
Events extraction is an important part of information extraction, at present, most events extraction aim at extracting events themselves but do not consider whether the events have already happened. This paper focuses on the events named willing events which have a leady proposed and made sure to happen but not yet happened currently. There exist quite a number of willing events in many areas, and...
A large amount of research results have shown that events exist in many texts. Understanding texts from semantics, texts are composed of events, and events are the basic semantic units for texts. We present a novel approach for computing text similarity, which selects events as the features for documents and computes text similarity from two points of view: event class and event instance. The number...
A large collection of formal concepts can be a hedge of the application of formal concept analysis and is not directly comprehensible for a user. It is thus an important task to develop methods which help to overcome the problem of large number of extracted formal concepts. This paper proposes concept hierarchies learning for getting more concise concept representation method using fuzzy formal concept...
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.