225 search results - page 4 / 45 » Semi-supervised Classification Using Local and Global Regula... |
106
click to vote
ICCV
2007
IEEE
15 years 11 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...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
Unsupervised learning methods often involve summarizing the data using a small number of parameters. In certain domains, only a small subset of the available data is relevant for ...
105
click to vote
NIPS
2001
14 years 11 months ago
2001
High dimensional data that lies on or near a low dimensional manifold can be described by a collection of local linear models. Such a description, however, does not provide a glob...
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
Considerable advances have been made in learning to recognize and localize visual object classes. Simple bag-offeature approaches label each pixel or patch independently. More adv...
CVPR
2010
IEEE
15 years 6 months ago
2010
IEEE
Self-similarity is an attractive image property which has recently found its way into object recognition in the form of local self-similarity descriptors [5, 6, 14, 18, 23, 27] In...