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.
We propose an effect size based approach to compute initial dissimilarities for Ensemble Algorithm of Clustering Cancer Data (EACCD). The proposed method is applied to the colon cancer data from the Surveillance, Epidemiology, and End Results (SEER) Program of the National Cancer Institute and compared with the log-rank approach where initial dissimilarities are computed from the log-rank test statistic...
We propose a hierarchical clustering method for prognostic clustering of cancer patients. Dissimilarity between two subsets of patients is defined as the area between two corresponding Kaplan-Meier curves. The proposed method is applied to the breast cancer data from the Surveillance, Epidemiology, and End Results (SEER) Program of the National Cancer Institute and compared with the linkage approach...
Tracing software entity dependencies is a difficult and time-consuming task, and the incomplete changes on software systems are prone to induce bugs. Mining frequent itemset is widely used to find co-changed entities, with which incomplete changes can be detected. In this paper, we present an improved method to predict co-changed software entities in the context of software evolution. In order to...
Background subtraction is a popular moving object detection technique, but its performance is dependent of the accuracy of background model. In this paper, the theory of sequential kernel density approximation is first introduced to background modeling. To this end, a novel background subtraction method for moving object detection is proposed. Various real video sequences have been used to test this...
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.