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.
Two-dimensional Principal component analysis (2DPCA) is widely used in face feature extraction and recognition as its lower-computational complexity comparing with principal component analysis (PCA). In this paper, we propose a feature extraction algorithm of pulmonary nodules based on 2DPCA with adaptive parameters. The cumulative variance proportion which is the histogram peak value of CT image...
Face symmetrical feature can be applied to two-dimensional principal component analysis (2DPCA) for face image feature extraction, and this procedure can be called symmetrical 2DPCA (S2DPCA). Now, these S2DPCA-based face recognition algorithms almost pay much attention to the feature extraction, and the classification measures have been little investigated. In this paper, the typical similarity measure...
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.