Sciweavers

72 search results - page 2 / 15
» Exploiting Background Knowledge when Learning Similarity Mea...
Sort
View
CVPR
2011
IEEE
13 years 1 months ago
Learning invariance through imitation
Supervised methods for learning an embedding aim to map high-dimensional images to a space in which perceptually similar observations have high measurable similarity. Most approac...
Graham Taylor, Ian Spiro, Rob Fergus, Christoph Br...
DASFAA
2007
IEEE
240views Database» more  DASFAA 2007»
13 years 11 months ago
A Comparative Study of Ontology Based Term Similarity Measures on PubMed Document Clustering
Recent research shows that ontology as background knowledge can improve document clustering quality with its concept hierarchy knowledge. Previous studies take term semantic simila...
Xiaodan Zhang, Liping Jing, Xiaohua Hu, Michael K....
KDD
2009
ACM
243views Data Mining» more  KDD 2009»
14 years 5 months ago
Exploiting Wikipedia as external knowledge for document clustering
In traditional text clustering methods, documents are represented as "bags of words" without considering the semantic information of each document. For instance, if two ...
Xiaohua Hu, Xiaodan Zhang, Caimei Lu, E. K. Park, ...
BMCBI
2010
201views more  BMCBI 2010»
13 years 2 months ago
IntelliGO: a new vector-based semantic similarity measure including annotation origin
Background: The Gene Ontology (GO) is a well known controlled vocabulary describing the biological process, molecular function and cellular component aspects of gene annotation. I...
Sidahmed Benabderrahmane, Malika Smaïl-Tabbon...
ICDM
2008
IEEE
147views Data Mining» more  ICDM 2008»
13 years 11 months ago
Clustering Documents with Active Learning Using Wikipedia
Wikipedia has been applied as a background knowledge base to various text mining problems, but very few attempts have been made to utilize it for document clustering. In this pape...
Anna Huang, David N. Milne, Eibe Frank, Ian H. Wit...