189 search results - page 10 / 38 » Unsupervised Nonlinear Manifold Learning |
137
click to vote
CVPR
2011
IEEE
14 years 3 months ago
2011
IEEE
We propose a novel nonlinear, probabilistic and variational method for adding shape information to level setbased segmentation and tracking. Unlike previous work, we represent sha...
90
Voted
ICANN
2003
Springer
15 years 4 months ago
2003
Springer
Abstract. An abstract recurrent neural network trained by an unsupervised method is applied to the kinematic control of a robot arm. The network is a novel extension of the Neural ...
128
click to vote
AMFG
2003
IEEE
15 years 5 months ago
2003
IEEE
In this paper, we propose the concept of Manifold of Facial Expression based on the observation that images of a subject’s facial expressions define a smooth manifold in the hig...
ICCV
1999
IEEE
15 years 4 months ago
1999
IEEE
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Three techniques: Principal Component Analy...
91
Voted
IJON
2010
14 years 10 months ago
2010
Due to the tremendous increase of electronic information with respect to the size of data sets as well as their dimension, dimension reduction and visualization of high-dimensiona...