335 search results - page 37 / 67 » Neighborly Embedded Manifolds |
SCALESPACE
2009
Springer
14 years 2 months ago
2009
Springer
In the context of shape and image modeling by manifold learning, we focus on the problem of denoising. A set of shapes or images being known through given samples, we capture its s...
NIPS
2003
13 years 9 months ago
2003
Many problems in information processing involve some form of dimensionality reduction. In this paper, we introduce Locality Preserving Projections (LPP). These are linear projecti...
MVA
2010
13 years 6 months ago
2010
In this paper, an unsupervised learning algorithm, neighborhood linear embedding (NLE), is proposed to discover the intrinsic structures such as neighborhood relationships, global ...
JMIV
2006
13 years 7 months ago
2006
In this paper, we describe how to use geodesic energies defined on various sets of objects to solve several distance related problems. We first present the theory of metamorphoses ...
ICCV
2011
IEEE
12 years 7 months ago
2011
IEEE
In this paper we propose a framework for learning a regression function form a set of local features in an image. The regression is learned from an embedded representation that re...