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APVIS
2007
13 years 11 months ago
Interpreting large visual similarity matrices
Visual similarity matrices (VSMs) are a common technique for visualizing graphs and other types of relational data. While traditionally used for small data sets or well-ordered la...
Christopher Mueller, Benjamin Martin, Andrew Lumsd...
DEXA
2006
Springer
138views Database» more  DEXA 2006»
14 years 1 months ago
A Vector Space Model for Semantic Similarity Calculation and OWL Ontology Alignment
Ontology alignment (or matching) is the operation that takes two ontologies and produces a set of semantic correspondences (usually semantic similarities) between some elements of ...
Rubén Tous, Jaime Delgado
EMNLP
2009
13 years 7 months ago
Multilingual Spectral Clustering Using Document Similarity Propagation
We present a novel approach for multilingual document clustering using only comparable corpora to achieve cross-lingual semantic interoperability. The method models document colle...
Dani Yogatama, Kumiko Tanaka-Ishii
ICPR
2008
IEEE
14 years 4 months ago
Scale invariant face recognition using probabilistic similarity measure
In video surveillance, the size of face images is very small. However, few works have been done to investigate scale invariant face recognition. Our experiments on appearance-base...
Zhifei Wang, Zhenjiang Miao
WWW
2005
ACM
14 years 10 months ago
Scaling link-based similarity search
To exploit the similarity information hidden in the hyperlink structure of the web, this paper introduces algorithms scalable to graphs with billions of vertices on a distributed ...
Balázs Rácz, Dániel Fogaras