521 search results - page 1 / 105 » Face Recognition Based on Discriminative Manifold Learning |
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
In this paper, a discriminative manifold learning method for face recognition is proposed which achieved the discriminative embedding the high dimensional face data into a low dim...
ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
—In this paper, we propose a Multi-Manifold Discriminant Analysis (MMDA) method for face feature extraction and face recognition, which is based on graph embedded learning and un...
FGR
2004
IEEE
13 years 8 months ago
2004
IEEE
Faces under varying illumination, pose and non-rigid deformation are empirically thought of as a highly nonlinear manifold in the observation space. How to discover intrinsic low-...
ACCV
2010
Springer
12 years 12 months ago
2010
Springer
Abstract. In set-based face recognition, each set of face images is often represented as a linear/nonlinear manifold and the Principal Angles (PA) or Kernel PAs are exploited to me...
CVPR
2009
IEEE
13 years 11 months ago
2009
IEEE
This paper presents a novel discriminative learning method, called Manifold Discriminant Analysis (MDA), to solve the problem of image set classification. By modeling each image s...