1403 search results - page 45 / 281 » Set cover algorithms for very large datasets |
KDD
2004
ACM
14 years 9 months ago
2004
ACM
Frequent itemset mining has been the subject of a lot of work in data mining research ever since association rules were introduced. In this paper we address a problem with frequen...
ECCV
2010
Springer
14 years 1 months ago
2010
Springer
Learning a new object class from cluttered training images is very challenging when the location of object instances is unknown. Previous works generally require objects covering a...
IJCNN
2006
IEEE
14 years 2 months ago
2006
IEEE
Abstract— Neural processing of large-scale data sets containing both many input / output variables and a large number of training examples often leads to very large networks. Onc...
ADBIS
2009
Springer
14 years 15 days ago
2009
Springer
Identification of all objects in a dataset whose similarity is not less than a specified threshold is of major importance for management, search, and analysis of data. Set similari...
BMCBI
2010
13 years 8 months ago
2010
Background: There are many important clustering questions in computational biology for which no satisfactory method exists. Automated clustering algorithms, when applied to large,...