24 search results - page 2 / 5 » Dimensionality Estimation, Manifold Learning and Function Ap... |
FGR
2006
IEEE
13 years 11 months ago
2006
IEEE
An unsupervised nonparametric approach is proposed to automatically extract representative face samples (exemplars) from a video sequence or an image set for multipleshot face rec...
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
The success of tensor-based subspace learning depends heavily on reducing correlations along the column vectors of the mode-k flattened matrix. In this work, we study the problem ...
ADCM
2008
13 years 5 months ago
2008
Learning function relations or understanding structures of data lying in manifolds embedded in huge dimensional Euclidean spaces is an important topic in learning theory. In this ...
MM
2004
ACM
13 years 10 months ago
2004
ACM
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
VMV
2000
13 years 6 months ago
2000
Essentially all Computer Vision strategies require initial computation of orientation structure or motion estimation. Although much work has been invested in this subfield, method...