Name
Title | ||
|---|---|---|
Block sparse representation for pattern classification: Theory, extensions and applications. |
Abstract | ||
|---|---|---|
•We give theoretical guarantees for the block sparse representation based classifier.•A RBSRC (robust block sparse representation based classifier) framework is given.•We devise an efficient half-quadratic optimization algorithm for RBSRC.•Using RBSRC as a general platform, we propose three robust classifiers. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.patcog.2018.11.026 | Pattern Recognition |
Keywords | Field | DocType |
Representation based classifier,Block sparsity,Subspace,M-estimator | Facial recognition system,Block structure,Pattern recognition,Sparse approximation,Outlier,Mean squared error,Robustness (computer science),Robust statistics,Linear subspace,Artificial intelligence,Mathematics | Journal |
Volume | Issue | ISSN |
88 | 1 | 0031-3203 |
Citations | PageRank | References |
1 | 0.35 | 27 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yulong Wang | 1 | 81 | 12.26 |
| Yuan Yan Tang | 2 | 2662 | 209.20 |
| Luoqing Li | 3 | 473 | 40.70 |
| Xianwei Zheng | 4 | 14 | 4.75 |