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APCCM
2010
15 years 7 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 9 months 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
16 years 8 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
16 years 8 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
15 years 7 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...