Manifold embedding for curve registration
classification
📊 stat.ME
keywords
manifoldcommonpatternproblemthenapproximatedclassicalcompare
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We focus on the problem of finding a good representative of a sample of random curves warped from a common pattern f. We first prove that such a problem can be moved onto a manifold framework. Then, we propose an estimation of the common pattern f based on an approximated geodesic distance on a suitable manifold. We then compare the proposed method to more classical methods.
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