10 search results - page 2 / 2 » Learning by geometrical shape changes of dendritic spines |
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
In this paper, we propose a novel approach to model shape variations. It encodes sparsity, exploits geometric redundancy, and accounts for the different degrees of local variation...
IROS
2006
IEEE
14 years 1 months ago
2006
IEEE
— This paper proposes an approach allowing indoor environment supervised learning to recognize relevant features for environment understanding. Stochastic preprocessing methods i...
ECCV
2002
Springer
14 years 9 months ago
2002
Springer
Principal ComponentAnalysis (PCA) has been successfully applied to construct linear models of shape, graylevel, and motion. In particular, PCA has been widely used to model the var...
TEI
2010
ACM
14 years 2 months ago
2010
ACM
This paper describes Kinematics: a novel construction toy for children consisting of both active (shape-changing or rotating) and passive building blocks. In comparison to similar...
TIP
2008
13 years 7 months ago
2008
We consider the problem of recognizing 3-D objects from 2-D images using geometric models and assuming different viewing angles and positions. Our goal is to recognize and localize...