7 search results - page 1 / 2 » Semi-Supervised Dimensionality Reduction Using Pairwise Equi... |
VISAPP
2008
13 years 6 months ago
2008
SDM
2007
SIAM
13 years 6 months ago
2007
SIAM
Dimensionality reduction is among the keys in mining highdimensional data. This paper studies semi-supervised dimensionality reduction. In this setting, besides abundant unlabeled...
SDM
2004
SIAM
13 years 6 months ago
2004
SIAM
Semi-supervised clustering uses a small amount of supervised data to aid unsupervised learning. One typical approach specifies a limited number of must-link and cannotlink constra...
ICPR
2010
IEEE
13 years 11 months ago
2010
IEEE
This paper introduces a semi-supervised distance metric learning algorithm which uses pair-wise equivalence (similarity and dissimilarity) constraints to improve the original dist...
CVPR
2001
IEEE
14 years 6 months ago
2001
IEEE
In this paper we describe two methods for estimating the motion parameters of an image sequence. For a sequence of images, the global motion can be described by ???? independent m...