Classifying visual objects with the consistency-driven pairwise comparisons method
نویسندگان
چکیده
The classification of the various image features or visual objects can be done by the consistency-driven pairwise comparisons method based on their relative importance. A key issue in the proposed approach is a weight based synthesis for combining various image features. When compared with the traditional experience-based linear assignment method, the proposed approach is more effective and easy to communicate.
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