Name
Title | ||
|---|---|---|
Multiset Canonical Correlations Using Globality Preserving Projections With Applications to Feature Extraction and Recognition. |
Abstract | ||
|---|---|---|
Multiset features extracted from the same patterns always represent different characteristics of data. Thus, it is very valuable to perform the extraction on multiple feature sets. This paper addresses the issue of multiset correlation feature extraction (MCFE) in multiple feature representations. A novel method is proposed to carry out the MCFE for classification, called multiset canonical correl... |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/TNNLS.2013.2288062 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | Field | DocType |
Correlation,Feature extraction,Vectors,Kernel,Principal component analysis,Covariance matrices,Eigenvalues and eigenfunctions | Data mining,Dimensionality reduction,Computer science,Canonical correlation,Multiset,Artificial intelligence,Kernel (linear algebra),Pattern recognition,Discriminant,Feature extraction,Correlation,Principal component analysis,Machine learning | Journal |
Volume | Issue | ISSN |
25 | 6 | 2162-237X |
Citations | PageRank | References |
16 | 0.58 | 31 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yun-Hao Yuan | 1 | 235 | 22.18 |
| Quansen Sun | 2 | 1222 | 83.09 |