224 search results - page 9 / 45 » Local Smoothing for Manifold Learning |
149
Voted
ECCV
2002
Springer
16 years 5 months ago
2002
Springer
Abstract. In many vision problems, the observed data lies in a nonlinear manifold in a high-dimensional space. This paper presents a generic modelling scheme to characterize the no...
126
Voted
ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
In this paper, we introduce a generic framework for semi-supervised kernel learning. Given pairwise (dis-)similarity constraints, we learn a kernel matrix over the data that respe...
194
Voted
JMLR
2010
14 years 10 months ago
2010
We address instance-based learning from a perceptual organization standpoint and present methods for dimensionality estimation, manifold learning and function approximation. Under...
181
Voted
ICCV
2007
IEEE
16 years 5 months ago
2007
IEEE
In this paper, we propose a novel metric learning method based on regularized moving least squares. Unlike most previous metric learning methods which learn a global Mahalanobis d...
125
Voted
MOR
2008
15 years 3 months ago
2008
We prove that if two smooth manifolds intersect transversally, then the method of alternating projections converges locally at a linear rate. We bound the speed of convergence in ...