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Support Vector Machines (SVMs) are popular for pattern classification. However, training a SVM requires large memory and high processing time, especially for large datasets, which limits their applications. To speed up their training, we present a new efficient support vector selection method based on ensemble margin, a key concept in ensemble classifiers. This algorithm exploits a new version of...
Current monitoring method has become a new method. In this paper, we took the total load current signal of lathes as the main object, used wavelet analysis and FFT to process this signal respectively, and extracted signal features to indicate the working state. Then by constructing the Support Vector Machine (SVM) “One against One” clustering structure model the recognition of the working state can...
High-frequency CW telegraph has been an important tactical communication mode. The reception of CW telegraph primarily requires manual work. Thus, its accuracy is easily affected by human physiology. To improve its reception efficiency and provide a partial substitute for human effort, an automatic detection and recognition system was proposed. The system presented here utilizes Kalman filtering algorithm...
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