 | 2009 |
| 9 |  | Weishi Zheng,
Jian-Huang Lai,
Pong Chi Yuen,
Stan Z. Li:
Perturbation LDA: Learning the difference between the class empirical mean and its expectation.
Pattern Recognition 42(5): 764-779 (2009) |
| 2008 |
| 8 |  | Xiaohua Xie,
Weishi Zheng,
Jian-Huang Lai,
Pong Chi Yuen:
Face illumination normalization on large and small scale features.
CVPR 2008 |
| 7 |  | Weishi Zheng,
Jian-Huang Lai,
Stan Z. Li:
1D-LDA vs. 2D-LDA: When is vector-based linear discriminant analysis better than matrix-based?
Pattern Recognition 41(7): 2156-2172 (2008) |
| 2007 |
| 6 |  | Weishi Zheng,
Stan Z. Li,
Jian-Huang Lai,
ShengCai Liao:
On Constrained Sparse Matrix Factorization.
ICCV 2007: 1-8 |
| 2006 |
| 5 |  | Weishi Zheng,
Jian-Huang Lai:
Regularized Locality Preserving Learning of Pre-Image Problem in Kernel Principal Component Analysis.
ICPR (2) 2006: 456-459 |
| 4 |  | Weishi Zheng,
Jian-Huang Lai,
Pong Chi Yuen:
Weakly Supervised Learning on Pre-image Problem in Kernel Methods.
ICPR (2) 2006: 711-715 |
| 2005 |
| 3 |  | Weishi Zheng,
Jian-Huang Lai,
Pong Chi Yuen:
GA-fisher: a new LDA-based face recognition algorithm with selection of principal components.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 35(5): 1065-1078 (2005) |
| 2004 |
| 2 |  | Weishi Zheng,
Jian-Huang Lai,
Pong Chi Yuen:
The Solution Space for Fisher Discriminant Analysis and the Uniqueness Under Constraints.
SINOBIOMETRICS 2004: 313-319 |
| 1 |  | Weishi Zheng,
Jian-Huang Lai,
Pong Chi Yuen:
Fast Calculation for Fisher Criteria in Small Sample Size Problem.
SINOBIOMETRICS 2004: 330-338 |