55 search results - page 7 / 11 » Separability with Outliers |
SDM
2009
SIAM
14 years 3 months ago
2009
SIAM
In this paper, we present a framework for categorical data analysis which allows such data sets to be explored using a rich set of techniques that are only applicable to continuou...
IJON
2010
13 years 5 months ago
2010
Linear Discriminant Analysis (LDA) is a well-known scheme for supervised subspace learning. It has been widely used in the applications of computer vision and pattern recognition....
ICCV
2005
IEEE
14 years 8 months ago
2005
IEEE
In this paper, we investigate the mathematical problem underlying segmentation of hybrid motions: Given a series of tracked feature correspondences between two (perspective) image...
DMKD
2004
ACM
14 years 4 days ago
2004
ACM
Cluster analysis is a common approach to pattern discovery in spatial databases. While many clustering techniques have been developed, it is still challenging to discover implicit...
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
Many existing spectral clustering algorithms share a conventional graph partitioning criterion: normalized cuts (NC). However, one problem with NC is that it poorly captures the g...