58 search results - page 11 / 12 » A Subspace Kernel for Nonlinear Feature Extraction |
PAMI
2012
11 years 8 months ago
2012
—Many face recognition algorithms use “distance-based” methods: Feature vectors are extracted from each face and distances in feature space are compared to determine matches....
ICML
2010
IEEE
13 years 7 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...
TNN
2011
13 years 1 months ago
2011
Domain adaptation solves a learning problem in a target domain by utilizing the training data in a different but related source domain. Intuitively, discovering a good feature rep...
CVPR
2009
IEEE
15 years 1 months ago
2009
IEEE
The problem of recognizing actions in realistic videos
is challenging yet absorbing owing to its great potentials
in many practical applications. Most previous research is
limit...
ICIP
2008
IEEE
14 years 26 days ago
2008
IEEE
Conventional electrophotographic printers tend to produce Moir´e artifacts when used for printing images scanned from printed material such as books and magazines. We propose a n...