Adelaide Research & Scholarship
Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/99999
| Citations | ||
| Scopus | Web of Science® | Altmetric |
|---|---|---|
|
?
|
?
|
|
| Type: | Journal article |
| Title: | Canonical principal angles correlation analysis for two-view data |
| Author: | Wang, S. Lu, J. Gu, X. Shen, C. Xia, R. Yang, J. |
| Citation: | Journal of Visual Communication and Image Representation, 2016; 35:209-219 |
| Publisher: | Elsevier |
| Issue Date: | 2016 |
| ISSN: | 1047-3203 1095-9076 |
| Statement of Responsibility: | Sheng Wang, Jianfeng Lu, Xingjian Gu, Chunhua Shen, Rui Xia, Jingyu Yang |
| Abstract: | Abstract not available |
| Keywords: | Canonical correlation analysis; feature fusion; unpaired data; manifold regularization; mutual subspace method; orthogonal projection; pattern recognition; handwritten recognition |
| Rights: | © 2015 Elsevier Inc. All rights reserved. |
| DOI: | 10.1016/j.jvcir.2015.12.001 |
| Published version: | http://dx.doi.org/10.1016/j.jvcir.2015.12.001 |
| Appears in Collections: | Aurora harvest 3 Computer Science publications |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.