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CAE
2007
13 years 11 months ago
Extracting the Essence from Sets of Images
We use a set of photographs showing similar scenes as a model for a single photograph this scene. A distance measure for this model is defined by correlating the neigborhoods of p...
Marc Alexa
CASES
2005
ACM
13 years 11 months ago
A post-compilation register reassignment technique for improving hamming distance code compression
Code compression is a field where compression ratios between compiler-generated code and subsequent compressed code are highly dependent on decisions made at compile time. Most op...
Montserrat Ros, Peter Sutton
CORR
1998
Springer
110views Education» more  CORR 1998»
13 years 8 months ago
Ultrametric Distance in Syntax
Phrase structure trees have a hierarchical structure. In many subjects, most notably in taxonomy such tree structures have been studied using ultrametrics. Here syntactical hierar...
Mark D. Roberts
ICDE
1999
IEEE
183views Database» more  ICDE 1999»
14 years 10 months ago
ROCK: A Robust Clustering Algorithm for Categorical Attributes
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim
WWW
2007
ACM
14 years 9 months ago
Using Google distance to weight approximate ontology matches
Discovering mappings between concept hierarchies is widely regarded as one of the hardest and most urgent problems facing the Semantic Web. The problem is even harder in domains w...
Risto Gligorov, Warner ten Kate, Zharko Aleksovski...