468 search results - page 32 / 94 » Riemannian Manifold Learning |
ECCV
2006
Springer
14 years 9 months ago
2006
Springer
Abstract. There has been growing interest in developing nonlinear dimensionality reduction algorithms for vision applications. Although progress has been made in recent years, conv...
ICPR
2004
IEEE
14 years 8 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...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
Our objective is to model the visual manifold of object appearance corresponding to geometric transformation. We learn a generative model for object appearance where the appearanc...
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
Can we detect low dimensional structure in high dimensional data sets of images? In this paper, we propose an algorithm for unsupervised learning of image manifolds by semidefinit...
ACCV
2009
Springer
13 years 11 months ago
2009
Springer
In this paper, we propose an embedding method to seek an optimal low-dimensional manifold describing the intrinsical pose variations and to provide an identity-independent head pos...