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.
This paper discussed the application of Blind Sources Separation (BSS) in plant leaves classification. Firstly, collection of two different types of plant leaves was performed using the Nexus-870 Fourier transform infrared spectroscopy, and wavelet analysis was adopted to compress the immense sample data, thus accelerating the data processing speed. Then the BSS algorithm FastICA algorithm was used...
Test suite reduction is to find a subset of the test suite containing a minimal number of test cases that can satisfy all test requirements. Test suite reduction techniques attempt to remove redundant test cases. Existed minimal set selection methods cannot guarantee the optimality of representative sets obtained. This paper adapts the Quine-McCluskey algorithm to find the minimal representative set...
The selection of weak classifiers is critical to the success of boosting techniques. Poor weak classifiers do not perform better than random guess, thus cannot help decrease the training error during the boosting process. Therefore, when constructing the weak classifier pool, we prefer the quality rather than the quantity of the weak classifiers. In this paper, we present a data mining-driven approach...
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonstrate in this paper that applying the local manner in sample space, feature space, and learning space via linear subspace learning can sufficiently boost the discriminating power, as measured by discriminating power coefficient...
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.