Name
Abstract | ||
|---|---|---|
Recently, finding the low-dimensional structure of high-dimensional data has gained much attention. Given a set of data points sampled from a single subspace or a union of subspaces, the goal is to learn or capture the underlying subspace structure of the data set. In this paper, we propose elastic-net subspace representation, a new subspace representation framework using elastic-net regularizatio... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TIP.2016.2588321 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Sparse matrices,Robustness,Minimization,Clustering algorithms,Principal component analysis,Estimation,Approximation algorithms | Krylov subspace,Subspace topology,Pattern recognition,Random subspace method,Robustness (computer science),Linear subspace,Matrix norm,Augmented Lagrangian method,Artificial intelligence,Cluster analysis,Mathematics | Journal |
Volume | Issue | ISSN |
25 | 9 | 1057-7149 |
Citations | PageRank | References |
3 | 0.36 | 35 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eunwoo Kim | 1 | 38 | 5.81 |
| Minsik Lee | 2 | 151 | 15.32 |
| Songhwai Oh | 3 | 755 | 67.68 |