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CVPR
2011
IEEE
13 years 5 months ago
2011
IEEE
A convenient way of dealing with image sets is to represent them as points on Grassmannian manifolds. While several recent studies explored the applicability of discriminant analy...
ECCV
2008
Springer
14 years 10 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...
IJCNN
2000
IEEE
14 years 1 months ago
2000
IEEE
In this paper we present the growing hierarchical self-organizing map. This dynamically growing neural network model evolves into a hierarchical structure according to the requirem...
GMP
2006
IEEE
14 years 2 months ago
2006
IEEE
We present a new surface representation scheme based on a manifold structure and displacement functions. Given a geometric model represented as a point cloud, we construct a domain...
NIPS
2004
13 years 10 months ago
2004
In this paper we propose to combine two powerful ideas, boosting and manifold learning. On the one hand, we improve ADABOOST by incorporating knowledge on the structure of the dat...