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.
State-of-the-art methods for airport detection in panchromatic remote sensing images utilize very limit geometrical features of airport line segments. This paper proposes a novel method based on both bottom-up and top-down saliency. Noticed that airport runways have features of vicinity and parallelity, and their lengths are among certain range, the concept of near parallelity is introduced after...
In a traffic system, drivers will always choose paths to maximize their own travel utilities, while in the other side, the system manager endeavors to minimize the overall travel time and reach the most system efficiency. In this paper, an induction mechanism based on game theory is proposed. According to the real traffic data, the manager publishes corrected traffic information initially, and then...
Previous spatial domain methods of visual saliency detection suffer from computational complexity, and recent frequency domain methods lack biological justification. We propose a saliency detection method that combines the speed of frequency domain methods with the topology of biologically based methods. We show that saliency detection can be achieved in frequency domain using frequency domain divisive...
There have been many computational models mimicking the visual cortex that are based on spatial adaptations of unsupervised neural networks. In this paper, we present a new model called neuronal cluster which includes spatial as well as temporal weights in its unified adaptation scheme. The ldquoin-placerdquo nature of the model is based on two biologically plausible learning rules, Hebbian rule and...
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.