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This paper presents a human like segmentation method for daily life actions, such as getting up, sitting down, walking. Unsupervised segmentation methods of many previous researches cannot always assure segmentation result that coincides with human's natural sense. While the proposed method utilizes human's teacher data of segmentation to conduct human like segmentation. We assume that latent dynamics...
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