104 search results - page 1 / 21 » Generalized Multiview Analysis: A discriminative latent spac... |
100
Voted
CVPR
2012
IEEE
13 years 21 days ago
2012
IEEE
This paper presents a general multi-view feature extraction approach that we call Generalized Multiview Analysis or GMA. GMA has all the desirable properties required for cross-vi...
106
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ICML
2007
IEEE
15 years 11 months ago
2007
IEEE
Supervised learning is difficult with high dimensional input spaces and very small training sets, but accurate classification may be possible if the data lie on a low-dimensional ...
83
Voted
CVPR
2001
IEEE
16 years 9 days ago
2001
IEEE
Recognising face with large pose variation is more challenging than that in a fixed view, e.g. frontal-view, due to the severe non-linearity caused by rotation in depth, selfshadi...
87
Voted
ICPR
2008
IEEE
15 years 11 months ago
2008
IEEE
A Generalized Nonlinear Discriminant Analysis (GNDA) method is proposed, which implements Fisher discriminant analysis in a nonlinear mapping space. Linear discriminant analysis i...
97
Voted
BMVC
2001
15 years 21 days ago
2001
We present a comprehensive approach to address three challenging problems in face recognition: modelling faces across multi-views, extracting the non-linear discriminating feature...