The fourth paper by Guang-Ho Cha proposes a similarity ranking technique that exploits all the community framework of similarity relationships for multimedia, specially image, databases. The most crucial challenge while in the similarity position on multimedia could be the meaning hole between the features mechanically computed with the multimedia dataset and also the interpretation by a human through the multimedia by itself.
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The 1st paper by Weiwei Lin et al. proposes a novel workload-aware power measuring framework. We to start with introduce separate energy usage designs for different workload sorts dependent on their own impacts on server factors.
The proposed method to start with divides the scale of input data hierarchically into two or three sub-datasets. Next, we build the sub-convex hull in Just about every sub-dataset and build the ultimate UB-H being an index by combining Each and every sub-convex hull.
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