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Support vector machine (SVM) is a popular method for classification in data mining. The canonical duality theory provides a unified analytic solution to a wide range of discrete and continuous problems in global optimization. This paper presents a canonical duality approach for solving support vector machine problem. It is shown that by the canonical duality, these nonconvex and integer optimization...
The United States Senate has become increasingly partisan through the years; in fact it is quite unusual for a Senator to vote against his or her party. The Congressional Close Up system automatically reports on factors that might have influenced a bipartisan vote. The system begins by assigning a topic to the legislation on which a Senate or House vote was focused. The system then uses this assigned...
In this paper, we propose a new on-line monitoring system in intensive care unit (ICU). Two incremental versions of support vector machines (SVM) have been adapted to the current monitoring system. In fact, the monitoring system in ICU have many issues to detect real states of patients namely critical or normal states. It frequently generates false alarms that have bad effects on the working conditions...
Compound character recognition of Devanagari script is one of the challenging tasks since the characters are complex in structure and can be modified by writing combination of two or more characters. These compound characters occurs 12 to 15% in the Devanagari Script. The moment based techniques are being successfully applied to several image processing problems and represents a fundamental tool to...
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