منابع مشابه
Data-based Manifold Reconstruction via Tangent Bundle Manifold Learning
The goal of Manifold Learning (ML) is to find a description of low-dimensional structure of an unknown q-dimensional manifold embedded in high-dimensional ambient Euclidean space R p , q < p, from their finite samples. There are a variety of formulations of the problem. The methods of Manifold Approximation (MA) reconstruct (estimate) the manifold but don’t find a low-dimensional parameterizati...
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Segmentation and representation of the human cerebral cortex from magnetic resonance (MR) images play an important role in neuroscience and medicine. A successful segmentation method must be robust to various imaging artifacts and produce anatomically meaningful and consistent cortical representations. A method for the automatic reconstruction of the inner, central, and outer surfaces of the ce...
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ژورنال
عنوان ژورنال: Discrete & Computational Geometry
سال: 2019
ISSN: 0179-5376,1432-0444
DOI: 10.1007/s00454-019-00095-w