468 search results - page 12 / 94 » Riemannian Manifold Learning |
IMAMS
2007
13 years 9 months ago
2007
Conformal geometry is in the core of pure mathematics. Conformal structure is more flexible than Riemaniann metric but more rigid than topology. Conformal geometric methods have p...
FGR
2004
IEEE
13 years 11 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-...
MICCAI
2009
Springer
14 years 8 months ago
2009
Springer
Compared with Diffusion Tensor Imaging (DTI), High Angular Resolution Imaging (HARDI) can better explore the complex microstructure of white matter. Orientation Distribution Functi...
IJCV
2006
13 years 7 months ago
2006
Tensors are nowadays a common source of geometric information. In this paper, we propose to endow the tensor space with an affine-invariant Riemannian metric. We demonstrate that ...
SIGIR
2005
ACM
14 years 1 months ago
2005
ACM
Support Vector Machines (SVMs) have been very successful in text classification. However, the intrinsic geometric structure of text data has been ignored by standard kernels commo...