33 search results - page 5 / 7 » Unsupervised Discriminant Embedding in Cluster Spaces |
ICCV
2009
IEEE
15 years 12 days 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...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Matching articulated shapes represented by voxel-sets reduces to maximal sub-graph isomorphism when each set is described by a weighted graph. Spectral graph theory can be used to...
CIKM
2007
Springer
14 years 1 months ago
2007
Springer
We present an evolutionary clustering method which can be applied to multi-relational knowledge bases storing resource annotations expressed in the standard languages for the Sema...
ICPP
2000
IEEE
13 years 12 months ago
2000
IEEE
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
ICMCS
2006
IEEE
14 years 1 months ago
2006
IEEE
Image retrieval has been widely used in many fields of science and engineering. The semantic concept of user interest is obtained by a learning process. Traditional techniques oft...