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In this paper, we propose a new approach to classify and rank multimedia events based purely on audio content using video data from TRECVID-2013 multimedia event detection (MED) challenge. We perform several layers of nonlinear mappings to extract a set of unsupervised features from an initial set of temporal and spectral features to obtain a superior presentation of the atomic audio units. Additionally,...
Surface defect detection plays a significant role in quality enhancement in steel manufacturing. Support Vector Machines and neural networks are the most popular classifiers in this application. Decision trees are also known as other classifiers for steel defect detection yielding a fast but moderate performance. In this paper, we introduce a more accurate classification method by using decision trees...
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