51 search results - page 5 / 11 » Regularization of LDA for Face Recognition: A Post-processin... |
SIBGRAPI
2005
IEEE
15 years 3 months ago
2005
IEEE
A critical issue of applying Linear Discriminant Analysis (LDA) is both the singularity and instability of the within-class scatter matrix. In practice, particularly in image recog...
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Voted
ECCV
2004
Springer
15 years 2 months ago
2004
Springer
The null space of the within-class scatter matrix is found to express most discriminative information for the small sample size problem (SSSP). The null space-based LDA takes full ...
ICIAR
2004
Springer
15 years 2 months ago
2004
Springer
Previous work has shown that principal component analysis (PCA) of three-dimensional face models can be used to perform recognition to a high degree of accuracy. However, experimen...
ICIP
2002
IEEE
15 years 11 months ago
2002
IEEE
Techniques that can introduce low-dimensional feature representation with enhanced discriminatory power is of paramount importance in face recognition applications. It is well kno...
AUSAI
2005
Springer
15 years 3 months ago
2005
Springer
All the traditional PCA-based and LDA-based methods are based on the analysis of vectors. So, it is difficult to evaluate the covariance matrices in such a high-dimensional vector ...