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.
Designing an effective classifier has been a challenging task in the previous methods proposed in the literature. In this paper, we apply a combination of feature selection algorithm and neural network classifier in order to recognize five types of white blood cells in the peripheral blood. For this purpose, first nucleus and cytoplasm are segmented using Gram-Schmidt method and snake algorithm, respectively;...
wireless capsule endoscopy (WCE) is an important device to detect abnormalities in small intestine. Despite emerging technologies, reviewing capsule endoscopic video is a labor intensive task and very time consuming. Computational tools which automatically detect informative frames and tag abnormal conditions such as bleeding, ulcer or tumor will dramatically reduce the clinician's effort. In this...
Data mining in medicine is an emerging field of high importance for providing prognosis and a deeper understanding of the classification of disease. The proposed system concentrates on the two different cognitive tests for the diagnosis of different stages of dementia. Dementia is considered as the fourth most common disorder among the elderly. Early detection of dementia and correct staging of the...
Orientation detection is an important preprocessing step for accurate recognition of text from document images. Many existing orientation detection techniques are based on the fact that in Roman script text ascenders occur more likely than descenders, but this approach is not applicable to document of other scripts like Urdu, Arabic, etc. In this paper, we propose a discriminative learning approach...
This paper presents recently introduced learning algorithm called extreme learning machine (ELM) for single-hidden layer feed-forward neural-networks (SLFNs) which randomly chooses hidden nodes and analytically determines the output weights of SLFNs. The ELM avoids problems like local minima, improper learning rate and over fitting commonly faced by iterative learning methods and completes the training...
The rapid growth of Web has made it a huge source of information which will make the availability of data easier and more efficient if its content is well organized. Automatic classification of Web pages is one of the major methods in the Web content mining (WCM) which can be of great value in the development and maintenance of Web directories. Based on the analysis done, CMAC neural network showed...
The applicability of learning methods to raw data coming from different areas of human activity is one of the main concerns in data mining research today. This paper emphasizes the need for a sound preprocessing method to improve the quality of the learning process through data imputation. Three classification methods we have previously developed are presented, with a focus on their evaluations. The...
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.