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In this paper we investigate the importance of individual features for the task of document layout analysis, in particular for the classification of the document pixels. The feature set consists of numerous state-of-the-art features, including color, gradient, and local binary patterns (LBP). To deal with the high dimensionality of the feature set, we propose a cascade of an adapted forward selection...
In this paper we propose a novel hybrid feature selection method for historical Document Image Analysis (DIA). Adapted greedy forward selection and genetic selection are used in a cascading way. We apply the proposed method to the task of historical document layout analysis on three handwritten datasets of diverse nature. The documents contain complex layouts, different handwriting styles, and several...
To improve the combat capability of naval ships in the sea combat, it is required to combine information from multisensors on the sea level. The combination of target information from multisensors can improve the target locating precision and reduce the target locating errors. But it is impossible to remove the locating errors completely. The errors affect the command decisions greatly, so it is essential...
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