International Journal of Computer Vision
Towards general measures of comparison of objects
Fuzzy Sets and Systems - Special issue dedicated to the memory of Professor Arnold Kaufmann
IEEE Transactions on Pattern Analysis and Machine Intelligence
Discrimination power of measures of comparison
Fuzzy Sets and Systems
Generalized fuzzy indices for similarity matching
Fuzzy Sets and Systems - Special issue on clustering and learning
On the Surprising Behavior of Distance Metrics in High Dimensional Spaces
ICDT '01 Proceedings of the 8th International Conference on Database Theory
What Is the Nearest Neighbor in High Dimensional Spaces?
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Perceptually Based Metrics for the Evaluation of Textural Image Retrieval Methods
ICMCS '99 Proceedings of the 1999 IEEE International Conference on Multimedia Computing and Systems - Volume 02
Similarity measures for binary and numerical data: a survey
International Journal of Knowledge Engineering and Soft Data Paradigms
SAFIRE: towards standardized semantic rich image annotation
AMR'06 Proceedings of the 4th international conference on Adaptive multimedia retrieval: user, context, and feedback
Similarities in fuzzy data mining: from a cognitive view to real-world applications
WCCI'08 Proceedings of the 2008 IEEE world conference on Computational intelligence: research frontiers
Order-based equivalence degrees for similarity and distance measures
IPMU'10 Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty
Cognition-Inspired fuzzy modelling
WCCI'12 Proceedings of the 2012 World Congress conference on Advances in Computational Intelligence
Similarity and dissimilarity measures between fuzzy sets: A formal relational study
Information Sciences: an International Journal
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To automatically retrieve documents or images from a database, retrieval systems use similarity measures to compare a request based on features extracted from the documents. As a result, documents are ordered in a list by decreasing correspondance to the request. Several comparison measures are used in the field and it is difficult to choose one or another. In this paper, we show that they can be grouped into classes of equivalent behavior. Then, in a query by example process, the choice of these measure can be reduced to the choice of a family of them.