96 search results - page 5 / 20 » Classifying large data sets using SVMs with hierarchical clu... |
HIS
2004
13 years 7 months ago
2004
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
WWW
2010
ACM
13 years 10 months ago
2010
ACM
This paper presents a technique for visualizing large spatial data sets in Web Mapping Systems (WMS). The technique creates a hierarchical clustering tree, which is subsequently u...
BMCBI
2007
13 years 6 months ago
2007
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...
KDD
2002
ACM
14 years 6 months ago
2002
ACM
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
ECCV
2008
Springer
14 years 8 months ago
2008
Springer
Abstract. Recently, impressive results have been reported for the detection of objects in challenging real-world scenes. Interestingly however, the underlying models vary greatly e...