Name
Abstract | ||
|---|---|---|
We propose a similarity-preserving binary signature method for linear subspaces. In computer vision and pattern recognition, linear subspace is a very important representation for many kinds of data, such as face images, action and gesture videos, and so on. When there is a large amount of subspace data and the ambient dimension is high, the cost of computing the pairwise similarity between the su... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TIP.2015.2451173 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Hamming distance,Face recognition,Nearest neighbor searches,Face,Measurement,Linear matrix inequalities | Locality-sensitive hashing,Facial recognition system,Signature recognition,Subspace topology,Pattern recognition,Gesture recognition,Linear subspace,Hamming distance,Artificial intelligence,Mathematics,Binary number | Journal |
Volume | Issue | ISSN |
24 | 11 | 1057-7149 |
Citations | PageRank | References |
8 | 0.52 | 28 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianqiu Ji | 1 | 74 | 3.37 |
| Jianmin Li | 2 | 731 | 68.51 |
| Qi Tian | 3 | 6443 | 331.75 |
| Shuicheng Yan | 4 | 767 | 25.71 |
| Bo Zhang | 5 | 2724 | 191.41 |