159 search results - page 18 / 32 » Boosting margin based distance functions for clustering |
SDM
2007
SIAM
13 years 10 months ago
2007
SIAM
Individuals show different cell classes when they are in the different stages of a disease, have different disease subtypes, or have different response to a treatment or envir...
ICCV
2009
IEEE
15 years 1 months ago
2009
IEEE
Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...
PR
2006
13 years 8 months ago
2006
Many computer vision and pattern recognition algorithms are very sensitive to the choice of an appropriate distance metric. Some recent research sought to address a variant of the...
IJCNN
2007
IEEE
14 years 2 months ago
2007
IEEE
— In this paper a clustering algorithm that learns the groups of synchronized spike trains directly from data is proposed. Clustering of spike trains based on the presence of syn...
CVPR
2003
IEEE
14 years 10 months ago
2003
IEEE
A linear programming technique is introduced that jointly performs feature selection and classifier training so that a subset of features is optimally selected together with the c...