Name
Title | ||
|---|---|---|
Modified Principal Component Analysis: An Integration of Multiple Similarity Subspace Models. |
Abstract | ||
|---|---|---|
We modify the conventional principal component analysis (PCA) and propose a novel subspace learning framework, modified PCA (MPCA), using multiple similarity measurements. MPCA computes three similarity matrices exploiting the similarity measurements: 1) mutual information; 2) angle information; and 3) Gaussian kernel similarity. We employ the eigenvectors of similarity matrices to produce new sub... |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/TNNLS.2013.2294492 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | Field | DocType |
Principal component analysis,Vectors,Covariance matrices,Support vector machine classification,Eigenvalues and eigenfunctions,Learning systems,Feature extraction | Data mining,Feature selection,Computer science,Artificial intelligence,Cluster analysis,Discriminative model,Subspace topology,Pattern recognition,Linear subspace,Feature extraction,Mutual information,Principal component analysis,Machine learning | Journal |
Volume | Issue | ISSN |
25 | 8 | 2162-237X |
Citations | PageRank | References |
18 | 0.61 | 47 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zizhu Fan | 1 | 329 | 14.61 |
| Xu Yong | 2 | 2119 | 73.51 |
| Wangmeng Zuo | 3 | 3833 | 173.11 |
| Jian Yang | 4 | 6102 | 339.77 |
| Jinhui Tang | 5 | 5180 | 212.18 |
| Zhihui Lai | 6 | 1204 | 76.03 |
| David Zhang | 7 | 7365 | 360.85 |