1839 search results - page 259 / 368 » Feature Selection in Clustering Problems |
ICASSP
2010
IEEE
13 years 10 months ago
2010
IEEE
Supervised learning uses a training set of labeled examples to compute a classifier which is a mapping from feature vectors to class labels. The success of a learning algorithm i...
IWANN
2009
Springer
14 years 4 months ago
2009
Springer
Frequently, the number of input variables (features) involved in a problem becomes too large to be easily handled by conventional machine-learning models. This paper introduces a c...
GIS
2006
ACM
14 years 11 months ago
2006
ACM
Given a query point and a collection of spatial features, a multi-type nearest neighbor (MTNN) query finds the shortest tour for the query point such that only one instance of eac...
LWA
2008
13 years 11 months ago
2008
The problem of information overload has been addressed by several systems. However, many approaches are limited to informal artifacts and need to refer to the user for reference o...
MM
2005
ACM
14 years 3 months ago
2005
ACM
Learning the user’s semantics for CBIR involves two different sources of information: the similarity relations entailed by the content-based features, and the relevance relatio...