1051 search results - page 153 / 211 » An algorithm for the principal component analysis of large d... |
PAKDD
2009
ACM
14 years 5 months ago
2009
ACM
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
ICDE
2007
IEEE
14 years 9 months ago
2007
IEEE
The application of frequent patterns in classification appeared in sporadic studies and achieved initial success in the classification of relational data, text documents and graph...
ICMCS
2009
IEEE
13 years 6 months ago
2009
IEEE
Large-scale multimedia semantic concept detection requires realtime identification of a set of concepts in streaming video or large image datasets. The potentially high data volum...
IPPS
2008
IEEE
14 years 2 months ago
2008
IEEE
Graph structure can model the relationships among a set of objects. Mining quasi-clique patterns from large dense graph data makes sense with respect to both statistic and applica...
CORR
2011
Springer
13 years 3 days ago
2011
Springer
For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the tra...