452 search results - page 21 / 91 » Face Recognition Using a Multi-Manifold Discriminant Analysi... |
ICB
2007
Springer
14 years 21 days ago
2007
Springer
Characteristics of surveillance video generally include low resolution and poor quality due to environmental, storage and processing limitations. It is extremely difficult for comp...
CVPR
2010
IEEE
13 years 7 months ago
2010
IEEE
Conventional subspace learning-based face recognition aims to attain low recognition errors and assumes same loss from all misclassifications. In many real-world face recognition...
ACCV
2010
Springer
13 years 3 months ago
2010
Springer
Many state-of-the-art face recognition algorithms use image descriptors based on features known as Local Binary Patterns (LBPs). While many variations of LBP exist, so far none of ...
ICPR
2006
IEEE
14 years 2 months ago
2006
IEEE
Linear Discriminant Analysis (LDA) is a widely used technique for pattern classification. It seeks the linear projection of the data to a low dimensional subspace where the data ...
PR
2008
13 years 8 months ago
2008
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...