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Event extraction is a major task of Automatic Content Extraction (ACE) program. This paper focuses on the sub-task of event extraction, event argument identification, and proposes a novel method for Chinese event argument identification. The method involves two steps: (1) weighting features by the ReliefF algorithm for considering the particular contributions of different features on clustering analysis,...
This paper presents a road signs detection, recognition and tracking system based on multi-cues hybrid. In detection stage, the color and gradient cues are used to segment the interesting regions, and the corner and geometrical cues are used to detect the signs. A pseudo RGB-HSI conversion method without the need of nonlinear transformation is presented for color extraction. In recognition stage,...
As more and more grid applications are put into use, the performance information plays a more important role in evaluating the running status of the grid system. However, most existing monitoring tools only provide system-level performance data, which are often massive in storage and meanwhile contain either duplicate or missing, even erroneous raw data. In order to make the collected data more easily...
In order to detect, track and recognize objects in images, one has to develop statistical models for features representing those objects. Shapes and textures are two main features that are used for this purpose. While past research has developed separate techniques for analyzing these for these two features, our goal is to study them together. We represent the 2D coordinates of the boundary and the...
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