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KDD
2006
ACM
213views Data Mining» more  KDD 2006»
16 years 5 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales
DGO
2008
112views Education» more  DGO 2008»
15 years 6 months ago
Relating taxonomies with regulations
Increasingly, taxonomies are being developed for a wide variety of industrial domains and specific applications within those domains. These industry or application specific taxono...
Chin Pang Cheng, Jiayi Pan, Gloria T. Lau, Kincho ...
SEMWEB
2007
Springer
15 years 10 months ago
OLA in the OAEI 2007 Evaluation Contest
Abstract. Similarity has become a classical tool for ontology confrontation motivated by alignment, mapping or merging purposes. In the definition of an ontologybased measure one ...
Jean François Djoufak Kengue, Jér&oc...
WCRE
2005
IEEE
15 years 10 months ago
When Functions Change Their Names: Automatic Detection of Origin Relationships
It is a common understanding that identifying the same entity such as module, file, and function between revisions is important for software evolution related analysis. Most softw...
Sunghun Kim, Kai Pan, E. James Whitehead Jr.
CVPR
2008
IEEE
16 years 6 months ago
Learning class-specific affinities for image labelling
Spectral clustering and eigenvector-based methods have become increasingly popular in segmentation and recognition. Although the choice of the pairwise similarity metric (or affin...
Dhruv Batra, Rahul Sukthankar, Tsuhan Chen