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.
Bayesian network is an uncertainty inference network based on probability. Its structure learning is one of the main research techniques in the field of data mining and knowledge discovering, while constructing Bayesian network structures from data is NP hard. According to the information theory and conditional independence test, a new algorithm is presented for the construction of optimal Bayesian...
Model reconstruction is the core of reverse engineering. The current method for surface model reconstruction is not effective for most structural parts whose surfaces are often quadratic and have mutual constraints. This paper proposes a method for conducting constraint-based synchronous fitting on multiple surfaces. Firstly the measured data after segmentation are fitted respectively on the basis...
H.264 adopts variable block size motion estimation and rate-distortion-optimization based mode decision to improve video quality and compression ratio. These techniques have made H.264 better than other existing video coding standards. However, they are computationally intensive and time-consuming. In this paper, a fast mode selection scheme is proposed for H.264 inter prediction. Firstly, the first...
The H.264 standard provides significantly high compression efficiency with multiple block size Motion Estimation adopted. However, the encoding time of Motion Estimation and Discrete Cosine Transform is dramatically increased as a result. An early mode decision algorithm is proposed in this paper to control the computation complexity. It derives a threshold to make mode decisions in advance. Experimental...
According to the high-order nonlinearity and parameter uncertainty of the ship steering dynamics, it is difficult to establish the accurate mathematical model by using normal identification methods. To solve this problem, a new kind of support vector regression based on the ant colony algorithm (ACA-SVR) is proposed. This method can select the parameters of SVR automatically without trial and error,...
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.