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.
As an important part of electronic products and systems, the fault prediction and health management of board-level circuits has attracted wide attention and the testability design is the basis of the related studies. In this paper, a new method of testability design based on the correlation of circuit nodes is proposed and used to realize the selection of test points in a high-voltage power supply...
Risk Analysis of electricity bill charge has been both challenging and important in the field of electricity power supply in China. In this paper, a novel electricity bill charge risk predicting method is proposed. The SMOTE (synthetic minority oversampling technique) algorithm is first used to under-sampling the majority class and over-sampling the minority class, and then it is combined with some...
This paper presents an automatic event detection system fusing low and mid level features for soccer videos. We first employ an improved approach for Shot Boundary Detection with color and our mean-gradient feature. Then we classify the shots into two view types. We also perform a template-based replay detection for each shot. Play-break sequences are then generated using a rule-based method. We devise...
Texture is the vital feature for remote sensing image classification, however, it is hard to be described and recognized by computer vision. As a result, lots of approaches have been presented to identify texture image. Among these methods, support vector machine (SVM) is the most successfully used one, which takes advantages of avoiding local optimum, conquering dimension disaster with small samples...
To improve the accuracy of power load forecasting, a new model for load forecasting based on support vector machine and continuous ant colony optimization algorithm is established in this paper. A new continuous ant colony optimization algorithm called MG-CACO is used to optimize the parameters of SVM in this model. Then the case study of SVM base on continuous ant colony optimization algorithm to...
Recognition of Chinese personal name is a difficult and challenging task in unknown words recognition. In this paper, we proposed a method of Chinese name recognition based on Support Vector Machines (SVM) and transformation-based error-driven learning. Using the transformation-based learning approach to correct the identification results of SVM. Transformation rules effectively deal with the special...
Recognition of Chinese personal name is emphasis and difficulty for unknown words recognition. If the problem is effectively solved, then it will improve the precision of unknown words recognition. The paper presents a method of Chinese name recognition based on Support Vector Machines (SVM) and transformation-based error-driven learning. Using the transformation-based learning approach to correct...
In recent years, multi-class SVM has been one of the hot spots for many researchers, and multi-class classification based on clustering is one of strategies. Because the information of class-labels is not considered by clustering, too much branches of the binary-tree are formed, especially in the case of samples in different classes having similar features. To solve the problem, linear discriminant...
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.