6533b85afe1ef96bd12b89bc

RESEARCH PRODUCT

IOWA Operators and Its Application to Image Retrieval

Guillermo AyalaTeresa LeónEsther De VesPedro Zuccarello

subject

Operator (computer programming)Feature vectorRelevance feedbackRelevance (information retrieval)Data miningLogistic regressioncomputer.software_genreContent-based image retrievalcomputerImage retrievalConfidence intervalMathematics

description

This paper presents a relevance feedback procedure based on logistic regression analysis. Since, the dimension of the feature vector associated to each image is typically larger than the number of evaluated images by the user, different logistic regression models have to be fitted separately. Each fitted model provides us with a relevance probability and a confidence interval for that probability. In order to aggregate these set of probabilities and confidence intervals we use an IOWA operator. The results will show the success of our algorithm and that OWA operators are an efficient and natural way of dealing with this kind of fusion problems.

yearjournalcountryeditionlanguage
2014-01-01
https://doi.org/10.1007/978-3-662-44415-3_36