Optimization of relevance feedback weights
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
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Proceedings of the conference on Visualization '98
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Perceptual Metrics for Image Database Navigation
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VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
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Approximation Techniques for Indexing the Earth Mover's Distance in Multimedia Databases
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
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EURASIP Journal on Applied Signal Processing
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Proceedings of the 2008 ACM SIGMOD international conference on Management of data
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SBBD '08 Proceedings of the 23rd Brazilian symposium on Databases
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ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Proceedings of the 18th ACM conference on Information and knowledge management
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CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
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EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
Image Retrieval With Relevance Feedback Based on Graph-Theoretic Region Correspondence Estimation
IEEE Transactions on Multimedia
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Expanding on our preliminary work [1], we present a novel method to heuristically adapt the Earth Mover's Distance to relevance feedback. Moreover, we detail an optimization-based method that takes feedback from the current and past Relevance Feedback iterations into account in order to improve the degree to which the Earth Mover's Distance reflects the preference information given by the user. As shown by our experiments, the adaptation of the Earth Mover's Distance results in a larger number of relevant objects in fewer feedback iterations compared to existing query movement techniques for the Earth Mover's Distance.