Years and Authors of Summarized Original Work
2005; Cheng, Dey, Ramos2008; Niyogi, Smale, Weinberger2014; Boissonnat, Ghosh2014; Cheng, Chiu
Problem Definition
With the widespread of sensing and Internet technologies, a large number of numeric attributes for a physical or cyber phenomenon can now be collected. If each attribute is viewed as a coordinate, an instance in the collection can be viewed as a point in \(\mathbb{R}^{d}\) for some large d. When the physical or cyber phenomenon is governed by only a few latent parameters, it is often postulated that the data points lie on some unknown smooth compact manifold \(\mathcal{M}\) of dimension k, where k ≪ d. The goal is to reconstruct a faithful representation of \(\mathcal{M}\)from the data points. Reconstruction problem are ill-posed in general. Therefore, the data points are assumed to be dense enough so that it becomes theoretically possible to obtain a faithful reconstruction. The quality of the reconstruction is measured in...
Recommended Reading
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Cheng S-W, Chiu, M-K (2009) Dimension detection via slivers. In: Proceedings of the ACM-SIAM symposium on discrete algorithms, New York, pp 1001–1010
Cheng S-W, Chiu M-K (2014) Implicit manifold reconstruction. In: Proceedings of the ACM-SIAM symposium on discrete algorithms, Portland, pp 161–173
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Cheng, SW. (2014). Manifold Reconstruction. In: Kao, MY. (eds) Encyclopedia of Algorithms. Springer, Boston, MA. https://doi.org/10.1007/978-3-642-27848-8_714-1
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DOI: https://doi.org/10.1007/978-3-642-27848-8_714-1
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