Logistic Regression Models for a Fast CBIR Method Based on Feature Selection

@inproceedings{Ksantini2007LogisticRM,
  title={Logistic Regression Models for a Fast CBIR Method Based on Feature Selection},
  author={Riadh Ksantini and Djemel Ziou and Bernard Colin and François Dubeau},
  booktitle={IJCAI},
  year={2007}
}
Distance measures like the Euclidean distance have been the most widely used to measure similarities between feature vectors in the content-based image retrieval (CBIR) systems. However, in these similarity measures no assumption is made about the probability distributions and the local relevances of the feature vectors. Therefore, irrelevant features might hurt retrieval performance. Probabilistic approaches have proven to be an effective solution to this CBIR problem. In this paper, we use a… CONTINUE READING