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This project aims to provide a ground truth generator for visual hand tracking and full pose-recovery problems. The system generates ground truths based on virtual models, and provides as an output depth, full segmentation of joints, and much more.
D.U.C.K (Determine segmentation of Unknown words by using Context Knowledge)is an NLP tool, which aims to find the correct segmentation for unknown words in written Hebrew. Statistics from different scopes will be used to determine the segmentation.
...In library: contour recognition; contour vectorisation; matrix letters feature recognition; web based GUI; assembler core on SS3 instruction; xml support; detect page rotation and segmentation;
This is a project which implements the interface of lucene Analyzer to extend its function of coping with the problem of chinese segmentation based on the statistical model(Hiden Marcov Model)
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