85 search results - page 7 / 17 » Putting local features on a Manifold |
ICANN
2003
Springer
13 years 12 months ago
2003
Springer
Locally linear embedding (LLE) is a recently proposed method for unsupervised nonlinear dimensionality reduction. It has a number of attractive features: it does not require an ite...
ECCV
2008
Springer
14 years 8 months ago
2008
Springer
Abstract. Motivated by image perturbation and the geometry of manifolds, we present a novel method combining these two elements. First, we form a tangent space from a set of pertur...
ICCV
2007
IEEE
14 years 8 months ago
2007
IEEE
We propose a novel framework for consistent correspondence between arbitrary manifold meshes. Different from most existing methods, our approach directly maps the connectivity of ...
ACCV
2010
Springer
13 years 1 months ago
2010
Springer
Abstract. In set-based face recognition, each set of face images is often represented as a linear/nonlinear manifold and the Principal Angles (PA) or Kernel PAs are exploited to me...
MM
2010
ACM
13 years 6 months ago
2010
ACM
This paper presents a supervised manifold learning model for dimensionality reduction in image and video classification tasks. Unlike most manifold learning models that emphasize ...