468 search results - page 84 / 94 » Riemannian Manifold Learning |
NIPS
2007
13 years 9 months ago
2007
Reliably recovering 3D human pose from monocular video requires models that bias the estimates towards typical human poses and motions. We construct priors for people tracking usi...
DAGM
2010
Springer
13 years 8 months ago
2010
Springer
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
We present a new approach, called local discriminant embedding (LDE), to manifold learning and pattern classification. In our framework, the neighbor and class relations of data a...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
Pattern variation is a major factor that affects the performance of recognition systems. In this paper, a novel manifold tangent modeling method called Discriminant Additive Tange...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
We consider the problem of dimensionality reduction, where given high-dimensional data we want to estimate two mappings: from high to low dimension (dimensionality reduction) and f...