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APCCM
2010
14 years 11 months ago
Metric of intrinsic information content for measuring semantic similarity in an ontology
Measuring information content (IC) from the intrinsic information of an ontology is an important however a formidable task. IC is useful for further measurement of the semantic si...
Md. Seddiqui Hanif, Masaki Aono
PAKDD
2011
ACM
419views Data Mining» more  PAKDD 2011»
14 years 21 days ago
DISC: Data-Intensive Similarity Measure for Categorical Data
Abstract. The concept of similarity is fundamentally important in almost every scientific field. Clustering, distance-based outlier detection, classification, regression and sea...
Aditya Desai, Himanshu Singh, Vikram Pudi
CVPR
2005
IEEE
15 years 12 months ago
Efficient Mean-Shift Tracking via a New Similarity Measure
The mean shift algorithm has achieved considerable success in object tracking due to its simplicity and robustness. It finds local minima of a similarity measure between the color...
Changjiang Yang, Ramani Duraiswami, Larry S. Davis
CVPR
2007
IEEE
15 years 12 months ago
Learning Visual Similarity Measures for Comparing Never Seen Objects
In this paper we propose and evaluate an algorithm that learns a similarity measure for comparing never seen objects. The measure is learned from pairs of training images labeled ...
Eric Nowak, Frédéric Jurie
COLING
2008
14 years 11 months ago
Robust Similarity Measures for Named Entities Matching
Matching coreferent named entities without prior knowledge requires good similarity measures. Soft-TFIDF is a fine-grained measure which performs well in this task. We propose to ...
Erwan Moreau, François Yvon, Olivier Capp&e...