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Airborne light detection and ranging (LiDAR) technology is an active remote sensing technique that produces a true orthophoto at a single wavelength. LiDAR is not as dependent on the weather as optical sensors, and LiDAR features have been widely applied for characterizing land cover classes of interest. Instead of using point-based features for classification, object-based LiDAR features were employed...
This paper presents an improved method of selective ensemble to filter the spam messages. The design adopts clustering based on the diversity between sub-classifiers to solve the problem of selection. To improve accuracy and stability, a conception of confidence weight is proposed to evaluate the reliability of selected sub-classifiers. The training model is created with small datasets as in the real...
The long-term emissions and accumulation of tailings can occupy cultivated land and lead to environmental pollution. In the paper Jining Yanzhou mining of Shandong as an example, analyzed the spectral characteristics of tailings and typical surface features of their surroundings. And year-2006 Quickbird data as a reference combined with the ground survey points to identify the large-scale waste dumps...
Primary Question detection in online forum is a subtask of extracting question-answer pairs. In this paper, by surveying the forms of questions in Chinese online forums, a combination of textual and N-gram features achieved via feature selection is adopted to help detecting primary questions. By viewing primary question detection a binary classification problem, decision tree classifier C4.5 and support...
Extracting question-answer pairs from online forums is a meaningful work due to the huge amount of valuable user generated resource contained in forums. In this paper we consider the problem of extracting Chinese question-answer pairs for the first time. We present a strategy to detect Chinese questions and their answers. We propose a sequential rule based method to find questions in a forum thread,...
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