399 search results - page 15 / 80 » Two-Dimensional Linear Discriminant Analysis |
99
Voted
TKDE
2008
15 years 13 days ago
2008
Linear and kernel discriminant analyses are popular approaches for supervised dimensionality reduction. Uncorrelated and regularized discriminant analyses have been proposed to ove...
103
Voted
ICPR
2006
IEEE
16 years 1 months ago
2006
IEEE
K-Nearest Neighbors relies on the definition of a global metric. In contrast, Discriminant Adaptive Nearest Neighbor (DANN) computes a different metric at each query point based o...
98
Voted
TKDE
2008
15 years 13 days 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...
109
Voted
PR
2002
15 years 6 days ago
2002
This paper introduces a novel nonlinear extension of Fisher's classical linear discriminant analysis (FDA) known as high-order Fisher's discriminant analysis (HOFDA). Th...
ICIP
2002
IEEE
16 years 2 months ago
2002
IEEE
Techniques for informationhidinghave become increasingly more sophisticated and widespread. With high-resolution digital images as carriers, detecting hidden messages has become c...