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Video annotation is an effective way to facilitate content-based analysis for videos. Automatic machine learning methods are commonly used to accomplish this task. Among these, active learning is one of the most effective methods, especially when the training data cost a great deal to obtain. One of the most challenging problems in active learning is the sample selection. Various sampling strategies...
Numerical weather predictions have been widely used for weather forecasting. Many large meteorological centers are producing highly accurate ensemble forecasts routinely to provide effective weather forecast services. However, biases frequently exist in forecast products because of various reasons, such as the imperfection of the weather forecast models. Failure to identify and neutralize the biases...
Similar historical forecasts (also called analogs) are important references for the forecasters in their routine work. The forecasts are multi-variate data, and it is difficult to determine whether two forecasts are similar. In this study, we propose a radar glyph based visualization system to analyze the similarity of analogs using multiple variables. The radar glyph, nested in a radar chart, can...
In multidimensional data analysis, one important task is to investigate the inner relations and patterns. Numerous visual representations have been proposed, such as parallel coordinates and scatter plots. However, parallel coordinates emphasize the overall patterns and data distributions while ignoring the correlation of data values over more than three dimensions. And when rendering more poly lines,...
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