8 search results - page 2 / 2 » A Unified Framework of Subspace and Distance Metric Learning... |
ICIP
2007
IEEE
14 years 6 months ago
2007
IEEE
We propose a framework to learn statistical shape models for faces as piecewise linear models. Specifically, our methodology builds upon primitive active shape models(ASM) to hand...
TCSV
2008
13 years 4 months ago
2008
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...