263 search results - page 1 / 53 » The Global Dimensionality of Face Space |
FGR
2000
IEEE
13 years 9 months ago
2000
IEEE
Low-dimensional representations of sensory signals are key to solving many of the computational problems encountered in high-level vision. Principal Component Analysis (PCA) has b...
NIPS
2001
13 years 6 months ago
2001
High dimensional data that lies on or near a low dimensional manifold can be described by a collection of local linear models. Such a description, however, does not provide a glob...
ACCV
2009
Springer
13 years 11 months ago
2009
Springer
Face recognition using image-set or video sequence as input tends to be more robust since image-set or video sequence provides much more information than single snapshot about the ...
PAMI
2007
13 years 4 months ago
2007
The dimensionality of face space is measured objectively in a psychophysical study. Within this framework we obtain a measurement of the dimension for the human visual system. Usi...
PAKDD
2005
ACM
13 years 10 months ago
2005
ACM
: While feature selection is very difficult for high dimensional, unstructured data such as face image, it may be much easier to do if the data can be faithfully transformed into l...