112 search results - page 4 / 23 » Linear Laplacian Discrimination for Feature Extraction |
ICMCS
2006
IEEE
14 years 1 months ago
2006
IEEE
In this paper a novel system for image replica detection is presented. The system uses color-based descriptors in order to extract robust features for image representation. These ...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
Linear discriminant analysis (LDA) is a well-known scheme for feature extraction and dimensionality reduction of labeled data in a vector space. Recently, LDA has been extended to...
PAMI
2012
11 years 9 months ago
2012
— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...
TKDE
2008
13 years 7 months ago
2008
Linear Discriminant Analysis (LDA) has been a popular method for extracting features that preserves class separability. The projection functions of LDA are commonly obtained by max...
BIOID
2011
12 years 11 months ago
2011
Extracting discriminatory features from images is a crucial task for biometric recognition. For this reason, we have developed a new method for the extraction of features from imag...