1083 search results - page 39 / 217 » Robust principal component analysis |
ECCV
2010
Springer
13 years 12 months ago
2010
Springer
Manifolds are widely used to model non-linearity arising in a range of computer vision applications. This paper treats statistics on manifolds and the loss of accuracy occurring wh...
ECCV
2004
Springer
14 years 1 months ago
2004
Springer
Diffusion tensor magnetic resonance imaging (DT-MRI) is emerging as an important tool in medical image analysis of the brain. However, relatively little work has been done on produ...
CSDA
2010
13 years 7 months ago
2010
Kernel Principal Component Analysis extends linear PCA from a Euclidean space to any reproducing kernel Hilbert space. Robustness issues for Kernel PCA are studied. The sensitivit...
IWDW
2009
Springer
14 years 2 months ago
2009
Springer
In this paper, we propose a blind watermarking algorithm for 3D meshes. The proposed algorithm embeds spectral domain constraints in segmented patches. After aligning the 3D object...
DAGM
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. Active Shape Models are commonly used to recognize and locate different aspects of known rigid objects. However, they require an off-line learning stage, such that the ex...