74 search results - page 3 / 15 » Nonlinear Manifold Learning for Data Stream |
ECCV
2006
Springer
14 years 7 months ago
2006
Springer
In recent years, nonlinear dimensionality reduction (NLDR) techniques have attracted much attention in visual perception and many other areas of science. We propose an efficient al...
PAKDD
2005
ACM
13 years 11 months ago
2005
ACM
We propose adaptive nonlinear auto-associative modeling (ANAM) based on Locally Linear Embedding algorithm (LLE) for learning intrinsic principal features of each concept separatel...
ISNN
2007
Springer
14 years 4 days ago
2007
Springer
Manifold learning algorithms have been proven to be capable of discovering some nonlinear structures. However, it is hard for them to extend to test set directly. In this paper, a ...
CVPR
2010
IEEE
13 years 8 months ago
2010
IEEE
The 3D reconstruction of a face from a single frontal image is an ill-posed problem. This is further accentuated when the face image is captured under different poses and/or compl...
ESANN
2006
13 years 7 months ago
2006
We present an extension to a recent method for learning of nonlinear manifolds, which allows to incorporate general cost functions. We focus on the -insensitive loss and visually d...