1315 search results - page 30 / 263 » Discovering significant rules |
ECCV
2006
Springer
16 years 1 months ago
2006
Springer
Abstract. Understanding texture regularity in real images is a challenging computer vision task. We propose a higher-order feature matching algorithm to discover the lattices of ne...
MICCAI
2008
Springer
16 years 29 days ago
2008
Springer
Abstract. We present iCluster, a fast and efficient algorithm that clusters a set of images while co-registering them using a parameterized, nonlinear transformation model. The out...
ISMB
1996
15 years 1 months ago
1996
Weconsider the problemof automaticdiscoveryof patterns and the corresponding subfamilies in a set of biosequences. Thesequences are unaligned and may contain noise of unknownlevel...
PKDD
2005
Springer
15 years 5 months ago
2005
Springer
In the last few years, the data mining community has proposed a number of objective rule interestingness measures to select the most interesting rules, out of a large set of discov...
ACSW
2004
15 years 1 months ago
2004
In this paper, a `market trading' technique is integrated with the techniques of rule discovery and refinement for data mining. A classifier system-inspired model, the market...