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.
In many vision and image problems there are multiple structures in a single data set and we need to identify the multiple models. To preserve most structures in presence of noise makes the estimation difficult. In such case for each structure, data which belong to other structures are also outliers in addition to the outliers for all the structures. Robust regression techniques are commonly used to...
We present a new approach to parameters identification of the fuzzy regression model with respect to the e-insensitive estimator in this paper. The proposed method firstly employs the improved fuzzy c-mean clustering algorithm to carry out fuzzy partition of input-output data pairs, which ascertains the membership functions of fuzzy system. Secondly, the quadratic convex optimization similar to the...
Fuzzy c-regression models (FCRM) performs switching regression based on a Fuzzy c-means (FCM)-like iterative optimization procedure, in which regression errors are also used for clustering criteria. In data mining applications, we often deal with databases consisting of mixed measurement levels. The alternating least squares method is a technique for mixed measurement situations, in which nominal...
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.