Name
Title | ||
|---|---|---|
Subspace segmentation with a large number of subspaces using infinity norm minimization. |
Abstract | ||
|---|---|---|
•We find an observation important to the LSN subspace segmentation.•We provide the theoretical support of the mentioned observation.•Our paper is the first to adopt infinite norm in subspace segmentation.•The computational complexity of our ADM algorithm is lower than O(n3).•Our method achieve the state-of-the-art results in extensive experiments. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.patcog.2018.12.025 | Pattern Recognition |
Keywords | Field | DocType |
Subspace segmentation,Large subspace number,Infinity norm,Spectral-clustering based methods | Diagonal,Uniform norm,Subspace segmentation,Pattern recognition,Subspace topology,Segmentation,Outlier,Linear subspace,Minification,Artificial intelligence,Mathematics | Journal |
Volume | Issue | ISSN |
89 | 1 | 0031-3203 |
Citations | PageRank | References |
4 | 0.39 | 39 |
Authors | ||
6 | ||