Name
Title | ||
|---|---|---|
Image classification by non-negative sparse coding, correlation constrained low-rank and sparse decomposition. |
Abstract | ||
|---|---|---|
•We use non-negative sparse coding with max pooling to represent images.•Use correlation constrained low-rank matrix recovery to decompose image features.•Locality-constrained linear coding is used to recode image representation.•We achieve the state-of-the-art performances on several public datasets. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.cviu.2014.02.013 | Computer Vision and Image Understanding |
Keywords | Field | DocType |
Sparse coding,Image classification,Low-rank decomposition,Non-negative,Correlation constrained | Feature vector,K-SVD,Pattern recognition,Neural coding,Computer science,Matrix (mathematics),Sparse approximation,Coding (social sciences),Artificial intelligence,Contextual image classification,Machine learning,Sparse matrix | Journal |
Volume | Issue | ISSN |
123 | 1 | 1077-3142 |
Citations | PageRank | References |
28 | 0.76 | 24 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chunjie Zhang | 1 | 482 | 39.70 |
| Jing Liu | 2 | 1781 | 88.09 |
| Chao Liang | 3 | 1059 | 77.92 |
| Zhe Xue | 4 | 72 | 14.60 |
| Junbiao Pang | 5 | 193 | 15.81 |
| Qingming Huang | 6 | 3919 | 267.71 |