178 search results - page 2 / 36 » Extensions of Manifold Learning Algorithms in Kernel Feature... |
ICIP
2005
IEEE
14 years 6 months ago
2005
IEEE
In this paper, we propose a novel classification method, called local manifold matching (LMM), for face recognition. LMM has great representational capacity of available prototypes...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
In this work we take a novel view of nonlinear manifold learning. Usually, manifold learning is formulated in terms of finding an embedding or `unrolling' of a manifold into ...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
We address the problem of feature selection in a kernel space to select the most discriminative and informative features for classification and data analysis. This is a difficult ...
JMLR
2006
13 years 4 months ago
2006
We propose a family of learning algorithms based on a new form of regularization that allows us to exploit the geometry of the marginal distribution. We focus on a semi-supervised...
ICPR
2004
IEEE
14 years 5 months ago
2004
IEEE
Autoassociator is an important issue in concept learning, and the learned concept of a particular class can be used to distinguish the class from the others. For nonlinear autoass...