167 search results - page 2 / 34 » LIFT: A new framework of learning from testing data for face... |
MVA
2000
13 years 8 months ago
2000
work, applies a nonlinear transformation from the input space to the hidden space. The output layer Partial face images, e.g.1 eyes, nose, and ear supplies the response of the netw...
FGR
2008
IEEE
13 years 9 months ago
2008
IEEE
The phenomenal growth of video on the web and the increasing sparseness of meta information associated with it forces us to look for signals from the video content for search/info...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
A new face recognition algorithm is presented. It supposes that a video sequence of a person is available both at enrollment and test time. During enrollment, a client Gaussian Mi...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
A fundamental challenge in face recognition lies in determining what facial features are important for the identification of faces. In this paper, a novel face recognition framewo...
ICCV
2003
IEEE
14 years 9 months ago
2003
IEEE
Most of the work on 3-D object recognition from range data has used an alignment-verification approach in which a specific 3-D object is matched to an exact instance of the same o...