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The failure of rotating machinery can result in fatal damage and economic loss since rotating machinery plays an important role in the modern manufacturing industry. The development of a reliable and efficient intelligent fault diagnosis approach is an ongoing attempt. Support vector machine (SVM) is a widely used machine learning method in intelligent fault diagnosis. But finding out good features...
In content-based image retrieval (CBIR), the gap between low-level visual features and high-level semantic meanings usually leads to poor performance, and relevance feedback (RF) is an effective method to bridge this gap and to scale up the performance in CBIR systems. In recent years, the support vector machine (SVM) based relevance feedbacks have been popular because they can outperform many other...
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