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In this work we propose a new approach to estimate motion of clouds from satellite images using tools from digital geometry in combination with tools from computer vision field. The idea is to represent clouds by their binary skeleton and then to track the critical points of the pruned skeleton using optical flow estimation approach, particularly using the Lucas-Kanade method which generates a sparse...
The ensemble learning has been successfully applied to many Natural Language Processing (NLP) tasks. For the Arabic Named Entity Recognition (NER) task, most studies in the literature have only focused on traditional classification methods and until now no one to the best of our knowledge has studied the ensemble learning for the Arabic NER task. In this paper, we apply six ensemble learning approaches...
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