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» A Comparative Evaluation of Term Recognition Algorithms
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ICDM
2005
IEEE
122views Data Mining» more  ICDM 2005»
16 years 13 hour ago
Finding Representative Set from Massive Data
In the information age, data is pervasive. In some applications, data explosion is a significant phenomenon. The massive data volume poses challenges to both human users and comp...
Feng Pan, Wei Wang 0010, Anthony K. H. Tung, Jiong...
CIVR
2009
Springer
253views Image Analysis» more  CIVR 2009»
16 years 29 days ago
Spatial extensions to bag of visual words
The Bag of Visual Words (BoV) paradigm has successfully been applied to image content analysis tasks such as image classification and object detection. The basic BoV approach ove...
Ville Viitaniemi, Jorma Laaksonen
KDD
2006
ACM
145views Data Mining» more  KDD 2006»
16 years 6 months ago
Deriving quantitative models for correlation clusters
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
Arthur Zimek, Christian Böhm, Elke Achtert, H...
KCAP
2005
ACM
15 years 12 months ago
Relaxed Precision and Recall for Ontology Matching
In order to evaluate the performance of ontology matching algorithms it is necessary to confront them with test ontologies and to compare the results. The most prominent criteria ...
Marc Ehrig, Jérôme Euzenat
ATAL
2008
Springer
15 years 8 months ago
Searching for approximate equilibria in empirical games
When exploring a game over a large strategy space, it may not be feasible or cost-effective to evaluate the payoff of every relevant strategy profile. For example, determining a p...
Patrick R. Jordan, Yevgeniy Vorobeychik, Michael P...