403 search results - page 59 / 81 » Metric and Kernel Learning Using a Linear Transformation |
116
Voted
CVPR
2008
IEEE
16 years 3 months ago
2008
IEEE
Linear Discriminant Analysis (LDA), which works by maximizing the within-class similarity and minimizing the between-class similarity simultaneously, is a popular dimensionality r...
159
Voted
ESANN
2006
15 years 3 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
123
Voted
FGR
2008
IEEE
15 years 8 months ago
2008
IEEE
This paper presents a method for recovering 3D facial shape from single image via learning the relationship between the 2D intensity images and the 3D facial shapes. With a couple...
135
Voted
ICIP
2010
IEEE
14 years 11 months ago
2010
IEEE
This paper proposes a new texture classification approach. There are two main contributions in the proposed method. First, input texture images are transformed to the composite Fo...
135
click to vote
IJON
2006
15 years 1 months ago
2006
A correlation-based similarity measure is derived for generalized relevance learning vector quantization (GRLVQ). The resulting GRLVQ-C classifier makes Pearson correlation availa...