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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...
In this paper, we propose a framework to build prediction models from data streams which contain both labeled and unlabeled examples. We argue that due to the increasing data collection ability but limited resources for labeling, stream data collected at hand may only have a small number of labeled examples, whereas a large portion of data remain unlabeled but can be beneficial for learning. Unleashing...
In efficiency analysis of weapon system, in order to achieve and represent the preferences of decision maker and make the most optimum selection, an efficiency evaluation method of weapon equipment based on LS-SVM with parameters optimization is proposed. Firstly, the principle of efficiency evaluation method based on LS-SVM is discussed. Secondly, to learn samples from the MADM problem extractly,...
Airborne lidar systems have become an alternative source for the acquisition of altimeter data. In addition to multi-echo laser scanner systems, full-waveform systems are able to record the whole backscattered signal for each emitted laser pulse. These data provide more information about the structure and the physical properties of the surface. This paper is focused on the classification of full-waveform...
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