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Binary Reduced Row Echelon Form Approach for Subspace Segmentation
| Content Provider | Semantic Scholar |
|---|---|
| Author | Aldroubi, Akram Sekmen, Ali |
| Copyright Year | 2013 |
| Abstract | This paper introduces a subspace segmentation and data clustering method for a set of data drawn from a union of subspaces. The proposed method works perfectly in absence of noise, i.e., it can find the number of subspaces, their dimensions, and an orthonormal basis for each subspace. The effect of noise on this approach depends on the noise level and relative positions of subspaces. We provide a performance analysis in presence of noise and outliers. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.eurasip.org/Proceedings/Ext/SampTA2013/papers/p436-sekmen.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
