Enhanced feature fusion through irrelevant redundancy elimination in intra-class and extra-class discriminative correlation analysis
Feature fusion aims to provide enhancements of data authenticity in both traditional and deep learning pattern analysis. Canonical Correlation Analysis (CCA) based feature fusion is a main technique for exploring the mutual relationships of multiple feature sets. In traditional CCA-based feature fus...
| Main Authors: | , , |
|---|---|
| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2020
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/144648 |