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.
When we use binary tree support vector machine (SVM) to work the multi-classification problems out, we always find that the structure of the binary tree has a large chance and it has a great influence on the classification efficiency of the classification model. To solve this problem, according to the idea of separating the most widely distributed class first, an improved binary tree SVM multiple...
Pedestrian detection is of much importance for its practical applications. This paper develops a novel pedestrian detection system which consists of three stages: motion region detection based on background modeling, feature extraction in the guidance of prior information, and map-based classification applying support vector machine (SVM) and Adaboost. First of all, an adaptive Gaussian Mixture Model...
A method of milling system operation optimization is proposed in this paper. First, use Support Vector Machine to get the relations between milling unit consumption and its related operation parameters. Second, optimize the model with the help of genetic algorithm and composite algorithm, and then optimal operation parameters of this milling system under different working conditions are got, which...
In this paper, we propose a new support vector approach for ordinal regression, which maximizes the sum of the margins of parallel discriminant hyperplanes. For ordinal regression, there are two strategies to take on the large margin principle: the fixed margin principle and the sum-of-margin principle. While the fixed margin strategy requires that the margins between two neighboring classes are equal...
The hypersphere support vector machine is an efficient method to distinguish the state of mechanism. The state of Power-Shift Steering Transmission (PSST) is studied using hypersphere support vector machine and Principal Component Analysis(PCA) with spectrometric oil analysis data. The fundamental of hypersphere support vector machine and PCA is researched. The influence of model parameters for performance...
Synthetic lethal genetic interactions are of interest as they can be used to predict function of unknown proteins and find drug target or drug combinations. In this study, we applied support vector machine (SVM) classifier to predict synthetic lethal genetic interactions in Saccharomyces cerevisiae based on domain information in proteins. We found that our method can predict synthetic lethal genetic...
Data fusion is one of the most important problems in current image processing field. Non-invasive characteristic of ear and profile face recognition contrary to other biometric recognition, unique ear features and ubiety about face and ear of 3D human head ensure the feasibility for fusing face and ear recognition. A new approach in decision fusion is proposed, the method uses less data than other...
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.