Tag Archives: Fusion

Combining re-ranking and rank aggregation methods for image retrieval

In this paper, entitled “Combining re-ranking and rank aggregation methods for image retrieval”, the authors Daniel Pedronette and Ricardo Torres propose four novel approaches for combining re-ranking and rank aggregation methods aiming at improving the effectiveness of CBIR systems. They … Continue reading

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T-IP: Behavior Knowledge Space-Based Fusion for Copy–Move Forgery Detection

We are happy to inform that our article “Behavior Knowledge Space-Based Fusion for Copy–Move Forgery Detection” has been published in IEEE Transactions on Image Processing, vol. 25, no. 10, pp. 4729-4742, 2016. The authors tackle the problem of copy-move image … Continue reading

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